1. technology and computing

COVER SHEET FOR PROPOSAL TO THE NATIONAL SCIENCE FOUNDATION
PROGRAM ANNOUNCEMENT/SOLICITATION NO./CLOSING DATE/if not in response to a program announcement/solicitation enter NSF 09-1
NSF 09-517
FOR NSF USE ONLY
NSF PROPOSAL NUMBER
02/23/09
FOR CONSIDERATION BY NSF ORGANIZATION UNIT(S)
0930055
(Indicate the most specific unit known, i.e. program, division, etc.)
EAR - INSTRUMENTATION & FACILITIES
DATE RECEIVED NUMBER OF COPIES DIVISION ASSIGNED FUND CODE DUNS#
02/23/2009
3
06030000 EAR
EMPLOYER IDENTIFICATION NUMBER (EIN) OR
TAXPAYER IDENTIFICATION NUMBER (TIN)
1580
FILE LOCATION
(Data Universal Numbering System)
078341468
02/23/2009 10:34pm
IS THIS PROPOSAL BEING SUBMITTED TO ANOTHER FEDERAL
AGENCY?
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NO
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SHOW PREVIOUS AWARD NO. IF THIS IS
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826000924
NAME OF ORGANIZATION TO WHICH AWARD SHOULD BE MADE
ADDRESS OF AWARDEE ORGANIZATION, INCLUDING 9 DIGIT ZIP CODE
Idaho State University
921 South 8th Ave., Stop 8046
Pocatello, ID. 832098046
Idaho State University
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0016204000
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MINORITY BUSINESS
IF THIS IS A PRELIMINARY PROPOSAL
WOMAN-OWNED BUSINESS THEN CHECK HERE
Upgrade of Computing Equipment in the Digital Mapping Laboratory,
Idaho State University
REQUESTED AMOUNT
PROPOSED DURATION (1-60 MONTHS)
75,000
$
SMALL BUSINESS
FOR-PROFIT ORGANIZATION
12
REQUESTED STARTING DATE
07/01/09
months
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IF APPLICABLE
CHECK APPROPRIATE BOX(ES) IF THIS PROPOSAL INCLUDES ANY OF THE ITEMS LISTED BELOW
BEGINNING INVESTIGATOR (GPG I.G.2)
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PROPRIETARY & PRIVILEGED INFORMATION (GPG I.D, II.C.1.d)
INTERNATIONAL COOPERATIVE ACTIVITIES: COUNTRY/COUNTRIES INVOLVED
HISTORIC PLACES (GPG II.C.2.j)
(GPG II.C.2.j)
EAGER* (GPG II.D.2)
RAPID** (GPG II.D.1)
VERTEBRATE ANIMALS (GPG II.D.6) IACUC App. Date
HIGH RESOLUTION GRAPHICS/OTHER GRAPHICS WHERE EXACT COLOR
REPRESENTATION IS REQUIRED FOR PROPER INTERPRETATION (GPG I.G.1)
PHS Animal Welfare Assurance Number
PI/PD DEPARTMENT
PI/PD POSTAL ADDRESS
921 South 8th Ave., Stop 8046
309 Fine Arts Building
Pocatello, ID 832098046
United States
Department of Geosciences
PI/PD FAX NUMBER
208-282-4414
NAMES (TYPED)
or IRB App. Date
High Degree
Yr of Degree
Telephone Number
Electronic Mail Address
PhD
2006
208-282-2592
[email protected]
PhD
2002
208-282-7851
[email protected]
PhD
2000
208-345-1994
[email protected]
PhD
1981
208-282-4254
[email protected]
PI/PD NAME
Benjamin T Crosby
CO-PI/PD
Daniel P Ames
CO-PI/PD
Nancy Glenn
CO-PI/PD
John A Welhan
CO-PI/PD
Page 1 of 2
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AUTHORIZED ORGANIZATIONAL REPRESENTATIVE
SIGNATURE
DATE
NAME
Dianne K Horrocks
TELEPHONE NUMBER
208-282-2592
Electronic Signature
ELECTRONIC MAIL ADDRESS
Feb 23 2009 6:53PM
FAX NUMBER
[email protected]
208-282-4723
fm1207rrs-07
* EAGER - EArly-concept Grants for Exploratory Research
** RAPID - Grants for Rapid Response Research
Page 2 of 2
UPGRADE OF COMPUTING EQUIPMENT IN THE DIGITAL MAPPING LABORATORY, IDAHO STATE UNIVERSITY Intellectual Merit: Quantitative computational tools dominate the skill set of modern earth scientists. At the core of these tools are the workstations and networked servers that allow the scientists to perform essential tasks: to model, to analyze, to collaborate, to archive and to publish. The core research computing facilities in the Digital Mapping Laboratory at ISU are currently outdated by ~5 years and severely limit the productivity of four surface processes research groups. The 23 workstations, two servers, and associated gigabit network connections described in this proposal
will enable these research teams to better service existing and future research projects. Currently the PIs
are focused on 4 interdisciplinary research themes: (1) field characterization and modeling of landscape
response to contemporary and ancient changes in climate or tectonics, (2) short-term landscape, soil, and
vegetation change as documented by hyperspectral and light detection and ranging (LiDAR) techniques,
(3) geospatially distributed, GIS-based hydrologic and water quality modeling at the watershed scale in
mountain environments, and (4) simulation of ground-water flow based on statistical analysis and threedimensional spatial modeling of changes in volcanic-sedimentary facies. Each of these research groups
pair innovative datasets and techniques against applied and theoretical questions that advance our
understanding of water resources, climate change and remote sensing capabilities. To answer these
fundamental and timely questions, the four research groups require an advanced computational facility to
develop, test and distribute computational tools in-house. Broader Impacts: The proposed facility upgrade will promote teaching and training of a core group of graduate students involved in four research groups. Other departmental students will benefit as they use remote sensing and GIS data to complement their primary analyses in structure, stratigraphy, geomorphology, and petrology. As research is completed and results published, the PIs will incorporate these projects into the undergraduate and graduate curriculum, thereby exposing a broad spectrum of student geoscientists. Over the 5‐year lifespan of these computers, this adds up to ~375 geoscience majors and graduate students who will benefit. With regard to underrepresented groups, this proposal involves one female PI and, over a five year period, will impact approximately 40% of ISU geoscience students who are female (~150 students total). By its very nature, this proposal will enhance infrastructure for research and education. It will allow Crosby to share his curriculum for digital courses with other universities, and Crosby, Ames, and Glenn to transfer newly developed research tools to existing NSF‐funded projects (CUAHSI,
HIS, WATERS network, CSDMS). In addition, this project will leverage connectivity activities proposed in a pending NSF Cyberinfrastructure Grant, in which network upgrades are proposed for student and faculty computer ports at Pocatello and Boise campuses of ISU. Finally, the research projects described in this proposal will have a strong impact on societal decisions regarding land use, water resources, and urban expansion. All projects concern environmental aspects of surface or near‐surface geologic processes, and all projects will yield results that can be delivered immediately to stakeholders and policy makers. Landslide potential, post‐wildfire erosion, fracture‐dominated aquifer flow, and watershed management are critical issues in the American West and other mountainous, semi‐arid regions throughout the world, making these research results pertinent to a diverse audience. TABLE OF CONTENTS
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Pages
Page No.*
(Optional)*
Cover Sheet for Proposal to the National Science Foundation
Project Summary
(not to exceed 1 page)
1
Table of Contents
1
Project Description (Including Results from Prior
NSF Support) (not to exceed 15 pages) (Exceed only if allowed by a
specific program announcement/solicitation or if approved in
advance by the appropriate NSF Assistant Director or designee)
14
References Cited
5
Biographical Sketches
(Not to exceed 2 pages each)
Budget
8
3
(Plus up to 3 pages of budget justification)
Current and Pending Support
6
Facilities, Equipment and Other Resources
2
Special Information/Supplementary Documentation
0
Appendix (List below. )
(Include only if allowed by a specific program announcement/
solicitation or if approved in advance by the appropriate NSF
Assistant Director or designee)
Appendix Items:
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Complete both columns only if the proposal is numbered consecutively.
RESULTS FROM PRIOR NSF SUPPORT Benjamin Crosby
EAR-0208312; $121,500; 09/01/00 - 09/01/05,
NSF Graduate Research Fellowship
•
•
•
This fellowship supported Crosby’s graduate work at MIT studying the communication
of incision signals through fluvial networks. We examined the distribution of
knickpoints (waterfalls) within the Waipaoa River catchment, NZ (Crosby and Whipple,
2006). 6 peer reviewed publications and one Ph.D. thesis were created.
We determined that in weak lithologies, knickpoints diffuse as they propagate up large
discharge trunk streams. They only develop where substrate erodibility decreases or at
tributary junctions where trunk stream fluvial incision outpaces the lesser tributary's
response (Crosby et al., 2007). The tributary junction can become so steep that fluvial
incision is diminished and a semi-permanent waterfall is created (Wobus et al., 2006a).
We established these findings through extensive field and theoretical studies, employing
landscape evolution models, GIS analysis, field monitoring of bedrock incision and
stream profile analysis (Wobus et al., 2006b).
EPS‐0814387; $ 539,174; 09/01/08 - 08/31/13,
NSF Idaho EPSCoR Research Infrastructure Improvement Grant – Water Resources in a
Changing Climate
•
•
This recently awarded 5 year grant supports undergraduate, graduate and post-doc
personnel as well as the purchase of LiDAR data and surveying equipment. In the
months since its initiation, I have hired 2 female undergraduates, one graduate student
and one female post-doc. Work has begun analyzing existing climate, stream ecology
and hydrology data (Olson and Crosby, 2008; Carlson et al., 2008).
Topographic analyses of the Salmon River watershed reveal that, due to relict
topography, large portions of the basin are near the modern snowline (Crosby and Baxter,
2008). Increases in the elevation of this snowline due to changing climate could
dramatically alter precipitation phase and thus the timing and magnitude of stream runoff.
EPS‐0814387; $ 251,570; 09/01/08 - 08/31/12,
Spatial and Temporal Influenced of Thermokarst Features on Surface Processes in Arctic
Landscapes
•
•
This recently awarded 4 year grant supports graduate personnel, field travel as well as the
purchase of topographic and hydrologic surveying equipment. In the months since its
initiation, I have hired one graduate student and have begun logistics planning for this
summer’s field season.
Topographic and climatic data as well as remotely sensed imagery have been collected
(Crosby and Olson, 2007) from perspective field sites and analyzed for research
suitability.
Daniel Ames EPS-0814387; $641,209; 9/1/08 - 8/31/13,
NSF Idaho EPSCoR Research Infrastructure Improvement Grant
•
This multi-year, multi-researcher project has just begun. Dr. Ames component of the
project begins in years 3-5 and will include substantial research into the socioeconomic
impacts of reduced water availability in the state of Idaho as project under climate change
scenarios.
EPS-0447689; $ 170,000; 09/01/05 - 05/01/08,
NSF Idaho EPSCoR Research Infrastructure Improvement Grant – The Idaho Grand
Challenge
•
•
This 3 year grant supported several graduate and undergraduate students studying
watershed modeling and development of geospatial modeling tools.
Specific outcomes include Ames et al (2008), Rafn et al (2008), Michaelis and Ames
(2007) , Michaelis and Ames (2008).
GEO-0808112; $84,095; 6/15/08 - 5/31/09,
FossilPlot: Data-Driven Web-Based Software and Teaching Modules for undergraduate
Education On the History of Life
•
This recently awarded grant supports two graduate students and a technician developing a
web based educational tool for studying fossil records. The tool, FossilPlot.org is well
underway and includes innovative database and web charting methodologies on a
massive database.
UPGRADE OF COMPUTING EQUIPMENT IN THE DIGITAL MAPPING LABORATORY, IDAHO STATE UNIVERSITY INTRODUCTION Quantitative analysis of surface and near-surface geologic processes has evolved from laborious,
time-intensive measurement of localized features to accumulation and analysis of vast digital data sets.
Desktop workstations are available to process these data, but the rapid increase in both size of data sets
and in complexity of algorithms means that desktop workstations become underpowered every 5 years.
To create a cutting-edge analytical facility for use in documenting surficial and near-surface processes,
this proposal requests funds to upgrade the Idaho State University Digital Mapping Laboratory with 23
workstations, two servers, and associated high-speed connections.
The ISU Digital Mapping Lab (DML) is operated by the Department of Geosciences and used by
its faculty and graduate students. Primary usage of the DML is by four research groups whose main
themes are (1) field characterization and modeling of landscape response to contemporary and ancient
changes in climate or tectonics, (2) short-term landscape, soil, and vegetation change as documented by
hyperspectral and light detection and ranging (LiDAR) techniques, (3) geospatially distributed, GIS-based
hydrologic and water quality modeling at the watershed scale in mountain environments, and (4)
simulation of ground-water flow based on statistical analysis and three-dimensional spatial modeling of
changes in volcanic-sedimentary facies. With advanced computational hardware, these research themes
are enabled to development of new algorithms for software packages such as MATLAB, ArcGIS, ENVI
and IDL. These algorithms lead to synergistic collaborations within and beyond the department. Each of
the research themes is described in the following sections, followed by a specific listing of the existing
and proposed equipment.
SPECIFIC PROJECT DESCRIPTIONS (1) BEN CROSBY – LANDSCAPE MODELING Now in his third year at ISU, Crosby is a geomorphologist who relies on numerical analysis of
landscape processes to characterize the interaction between physical and ecological systems. Beyond his
research, Crosby has also introduced new, computationally-intense courses to the curriculum (e.g.
Quantitative Tools for Earth Scientists) as well as new laboratory exercises for existing courses (e.g.
Modeling Scarp and Hillslope Diffusion, Assessing Correlations Between and Instrumental and Proxy
Climate Data, etc.). Crosby has also developed a curriculum and hardware suite for field-based Digital
Mapping and Data Collection at ISU. These GPS-enabled PDAs and tablet PCs are used during the
semester in undergraduate and graduate courses as well as in ISU’s Field Geology summer course, a
program that educates undergraduate and graduate students from universities across the nation. These
field computers and a host of other digital topographic and hydrologic surveying tools (Robotic Total
Station, Survey-Grade DGPS Rovers and Base Station, Acoustic Doppler Velocimeters/Profiler etc.) are
fundamental to Crosby’s research program. These tools and the data they produce explicitly require a
computational facility capable of processing, transferring, archiving and publishing large, complex data
sets. To reach their highest potential, two of Crosby’s current research themes (which are currently
supported by NSF) require improvements in ISU’s computational infrastructure.
ECOHYDRAULIC CONSEQUENCES OF CONTEMPORARY CLIMATE CHANGE, SALMON RIVER BASIN, ID In the intermountain west, contemporary changes in climate have resulted in increased wildfire
frequency and magnitude (Westerling et al., 2006), more extensive insect outbreaks (Hicke et al., 2006),
declining mountain snowpack (Mote et al., 2005) and earlier spring runoff (Stewart et al., 2004). These
changes result in consequences for physical and biological systems that cascade from upland hillslopes,
down through headwater streams and ultimately impact mainstem rivers. In the Salmon River watershed
in central Idaho (36,000 km2), an extensive record of climatic, hydrologic, geomorphic and stream
ecological data collected in a wilderness setting provide the foundation for an ideal field site to explore
the consequences of the changes listed above. Over the next 5 years Crosby’s research group will work in
partnership with stream ecologist Dr. Colden Baxter (ISU Biosciences) and a team of other scientists at
Idaho universities to tackle questions regarding the connection between contemporary and future changes
in climate and physical and biological systems. This NSF EPSCoR funded program
(http://www.webs.uidaho.edu/epscor) will support graduate, undergraduate and Post-Doctoral researchers
in Crosby’s lab but in order to make the most of these personnel, we must overcome a deficiency in our
computational facilities. Current facilities in the Digital Mapping Laboratory are outdated, poorly
networked and cannot handle both the computational and storage requirements of this project.
Students and researchers within Crosby’s group will work together to synthesize and analyze
existing records of river discharge, climate, stream ecology and geomorphic observations from over 600
different sources within the Salmon River basin. In particular, Crosby’s group will evaluate through
topographic modeling and field analysis how predicted changes in snowline elevation will impact the
timing and magnitude of water and sediment fluxes from different regions within the Salmon River basin.
Crosby’s group will also use historic geomorphic datasets (Emmett, 1975) collected at long term
biological monitoring sites (Minshall et al., 1992) to evaluate the sensitivity of stream ecosystems to
changes in physical habitat. This extensive GIS-based dataset will be used to assess (via time series
analysis in MATLAB and remote sensing analysis in IDL/ENVI) changes that have occurred in the past
as well as to provide calibration datasets for predictive hydrologic and geomorphic models developed at
ISU (both in MATLAB and in other programming languages). At present, current computers cannot
extract stream profiles from Salmon River Digital Elevation Maps (DEMs) or complete topographic
calculations necessary for this study. These datasets and models require large capacity storage, gigabit
network throughput and fast computational workstations in order to accomplish this goal. The support
requested in this proposal will enable Crosby’s group to not only do the necessary analyses at ISU, but
also to share model outputs and GIS maps via our server with collaborators at ISU and other Idaho
universities. The same server will also support the dissemination of data and results to other stakeholders
in the Salmon River basin, including federal and state agencies, our collaborators at the ShoshoneBannock and Nez-Pierce Tribes and residents and businesses that depend on the river for their livelihood.
SENSITIVITY OF THE ARCTIC LANDSCAPE TO CONTEMPORARY CLIMATE CHANGE Recent summaries of international research clearly document the past and future extent of climate
warming in the Arctic (ACIA, 2004). These summaries suggest that in the future, rising temperatures will
be accompanied by increased precipitation, mostly as rain: 20% more over the Arctic as a whole and up to
30% more in coastal areas during the winter and autumn. These climate changes will have important
impacts on Arctic systems because of the likelihood that warming will promote permafrost degradation
and thawing (Osterkamp and Romanovsky 1999; Jorgenson et al., 2006). Formerly frozen soils may be further
destabilized by increased precipitation, leading to hillslope thermokarst failures (Jorgenson et al. 2005,
2008). It is hypothesized that a widespread and long-term increase in the incidence of thermokarst failures
will have important impacts on the structure and function of arctic headwater landscapes.
In the fall of 2008 Crosby and an interdisciplinary, international team of scientists were awarded
a 4 year NSF-ARCSS research grant (http://thermokarst.psu.edu/) to pursue the topics outlined above.
This group recognizes that thermokarst failures are abundant and appear to have become more numerous
throughout the arctic (Gooseff et al., 2009; Lamoureux and Lafreniere, 2009). In particular, Crosby and
ARCSS team will focus their efforts around Toolik Lake on the eastern North Slope and in the western
Noatak River basin in Alaska. The project provides support at ISU for one graduate student and the
purchase of digital surveying and water quality monitoring equipment but not improvements in the
computational resources available in the Digital Mapping Laboratory. Crosby’s portion of the project
will require the synthesis and analysis of climatic and hydrologic data from field monitoring sites as well
as regional sources. Crosby and his student will focus on the downstream geomorphic impacts of the
hillslope failures. These failures produce massive volumes of sediment that can sometimes persist for
decades and alter the form and function of nearby rivers. Crosby’s team will use site-specific
observations of failure triggering mechanisms and hillslope hydrological response in order to calibrate
numerical models of the landscape- scale consequences of increasing failure frequency. At present, ISU
Geosciences lacks the computational power to run, record and visualize these models and the datasets
they produce. The proposed improvements to our infrastructure will enable students and faculty to
perform these analyses without having to travel to other computing facilities. Though only one project is
described above, Crosby also has current funding to study similar questions in the arctic through the US
Fish and Wildlife Service as well as the Department of Energy’s INRA program. Each of these three
projects provide support for personnel, travel and field equipment, but none support the core
computational infrastructure at the home institution.
(2) NANCY GLENN – REMOTE SENSING AND IMAGE PROCESSING Glenn’s research focuses on image processing, interpretation of remote sensing imagery, and
understanding spatial, spectral, and temporal scales of landscape processes. Her interdisciplinary focus is
on terrain characterization (soil and vegetation) using light detection and ranging (LiDAR, a.k.a. laser
altimetry) and hyperspectral (visible, near and shortwave infrared) imagery to study post-fire soil and
vegetation processes (wind erosion prediction, burn severity, and soil water repellency), invasive species,
and landslides. Glenn directs the Boise Center Aerospace Laboratory (BCAL) while her collaborators
(faculty and students) use both BCAL and the DML. Specific research programs are listed below.
HYPERSPECTRAL UNMIXING FOR TARGET DETECTION Imaging spectrometry data or hyperspectral imagery (HSI) from the 0.4-2.5 mm spectral range
provide a rich amount of information describing the properties of the earth’s surface (Goetz et al, 1985).
HSI can help describe the distribution of minerals and rocks across the earth (as well as planetary
surfaces) (Kruse et al 2003) and the abundance of particular vegetation species (Settle and Drake, 1993;
Ustin et al 2004). This information in turn leads to an improved understanding of earth processes and
climate forcing. HSI also provides ample opportunity for interdisciplinary graduate and undergraduate
research. Spectral mixture analysis, specifically pixel unmixing (determining the materials represented
within an individual pixel) from HSI allows one to identify specific subpixel abundances (i.e. targets of
interest within a mixed pixel) (Harsayni and Chang, 1994; Heinz and Chang, 2001). Glenn’s current
research focuses on improving spectral unmixing methods and sampling techniques for studying
vegetation and vegetation change (Mitchell and Glenn, in press; Mitchell and Glenn 2009; Glenn et al
2005). Significantly, this work has recently been utilized in applied research on soils mapping (Moore et
al 2007; Finley and Glenn, in review), and Glenn and her students are now pursuing methods to increase
the accuracy of abundance measurements with spectral matching. One of the major limitations to these
studies is that HSI analysis is hampered by the computationally intense unmixing algorithms necessary to
identify and quantify the abundance of land cover in large and heterogeneous datasets.
LIDAR ANALYSIS FOR VEGETATION AND GEOLOGIC CHARACTERIZATION LiDAR data are transforming diverse facets of earth surface studies, including geomorphology,
geology, rangeland ecology, and forestry. The increase in availability of the data, coupled with the
improvements in vertical accuracy and horizontal spacing, enables users to quantitatively characterize
landscapes providing new insights to age-old problems. For example, LiDAR analysis has increased the
understanding of the morphology and motion of landslides (e.g. Glenn et al 2006; McKean and Roering,
2004), landscapes (e.g. Perron et al., 2008) and analysis of surface processes over time. LiDAR analysis
also provides an opportunity to characterize the roughness of the earth’s surface for understanding
geomorphic and vegetation change over time and for vegetation height (Wang and Glenn, 2008; Streutker
and Glenn, 2006). Similar to HSI data, LiDAR data are computationally intense and sophisticated
algorithms and computing platforms are essential for state-of-the art analyses. Glenn’s lab has developed
LiDAR analysis tools (see: http://bcal.geology.isu.edu/tools.shtml; and Streutker and Glenn, 2006) for the
earth sciences. These tools have provided users with desktop solutions to analyze point cloud data based
on the Interactive Data Language (IDL). The point clouds comprise a set of measured point locations on
a scanned surface (e.g., bare ground, trees, roads, buildings, etc.) represented in a three-dimensional
space. Points are typically attributed with return intensity, time, and number, in the case of multiple
returns for a single shot. Current topographic analysis tools that are affordable to university researchers
are limited in their ability to work with such scattered data, although some software tools (most
commonly used with terrestrial laser scanning data) perform 3D tessellation and texture mapping on the
point cloud (see Arrowsmith et al. 2008 for more detail). Glenn’s research team is expanding their current
analysis tools to include more sophisticated opportunities for correlating surface and height characteristics
with geomorphic change (e.g. surface matching), meteorological observations (e.g. aerodynamic
roughness), and characterization of low-height vegetation (e.g. shrubs).
The LiDAR point cloud datasets in these studies begin at sizes of about 200MB for one 1km x
1km tile – or about 40 GB for a typical 200 sq km study area. With vegetation height filtering of the point
clouds, the file sizes can easily triple before any processing takes place specific to our research objectives.
The size of the hyperspectral datasets is about 25% compared to LiDAR data for the same study area, but
they often require higher processing power than the LiDAR algorithms to solve the matrices associated
with matched filtering.
In order to process these point cloud and hyperspectral datasets, a desktop computer with a
minimum dual core processor and 4Gb RAM is necessary. The remote sensing data is analyzed in IDL
that takes advantage of multi-core processing. In comparison to a 2GHz Pentium with 1Gb RAM, a
3GHz dual core with 4Gb RAM will allow a ten-fold increase in the processing speed of the HSI
unmixing and LiDAR algorithms for geographically large and heterogeneous datasets. For the HSI,
processing these large datasets simultaneously instead of as individual flightlines allows us to estimate
our background noise with a more statistically robust method that in turn will help us identify our target
pixels with higher accuracies. For the LiDAR processing, analyzing the data as a single dataset instead of
individual flightlines will free up our analyst’s processing time, as well take advantage of a more
statistically-robust vegetation filter and surface matching algorithm that we have designed.
(3) DAN AMES – WATERSHED SCALE HYDROLOGIC MODELING Leading the ISU Department of Geosciences geotechnologies programs, Ames has helped develop a
nationally recognized graduate program in geographic information sciences that includes both the
theoretical underpinnings of geospatial data analysis and modeling as well as the practical application of
new and existing analytical tools to real world science and environmental management problems. He has
been instrumental in developing and enhancing several undergraduate and graduate level courses in this
program which require access to high-end software and workstations with capabilities that far exceed
those regularly found in traditional university managed computer laboratories. Powerful computing
resources are particularly demanded by the geospatial modeling courses including Advanced GIS,
Watershed Modeling, and Spatial Analysis. The proposed enhancements to the DML will directly benefit
students in these courses by providing a Geosciences-managed computer laboratory that meets the
required hardware and software specifications for these courses.
In addition to coordinating and helping develop the geotechnologies academic programs at ISU,
Ames also manages an extensive research program in the development and application of geospatial
software and modeling tools. This research is largely centered on the free MapWindow GIS project
(www.mapwindow.org and Ames et al., 2008) that has attained international recognition as the
preeminent Windows-based open source geographic information system with thousands of active users
and over 6,000 downloads per month from the project web site. This software tool is unique in the GIS
domain because of its completely modular and extensive architecture that allows third party researchers
and software engineers to reconstruct the software to meet particular modeling and data analysis needs. In
recent years this software has become the modeling platform for several watershed scale modeling
systems including EPS’s BASINS system (United States Environmental Protection Agency, 2006), FRAMES/3MRA, Soil Water Assessment Tool (Devele and Srinivasan, 2005), and others. Recently, the NSF sponsored Consortium of Universities for the Advancement of Hydrologic Sciences (CUAHSI – www.cuahsi.org) has adopted MapWindow GIS as the GIS platform for its desktop hydrologic information system project (his.cuahsi.org) and integration with tools and standards developed by the the European OpenMI modeling consortium (www.openmi.org) and the Open Geospatial Consortium (www.ogc.org) continues. Considering the massive computational resources needed to effectively conduct extensive geospatial data analysis and modeling research, one can appreciate the even greater computational demand associated with the development of the core spatio‐temporal data visualization and modeling software itself. The following sections outline two projects related to such research software development that will be specifically facilitated by the proposed DML upgrades. TOOLS FOR LIDAR BASED WATERSHED MODELING AND TERRAIN ANALYSIS The accurate extraction of hydrologically important datasets from terrain data (e.g. slope, flow
direction, cumulative area, and watershed boundaries) is required as a primary data processing function to
facilitate most spatially distributed hydrologic data modeling research and application (Tarboton and
Ames 2001; Garbrecht and Martz 1997). Historically the algorithms and tools developed to support such
analyses were often based on the presumption of limited computational resources and relatively small (i.e.
2000 x 2000 cells) datasets. However in recent years with the widespread use of LiDAR for terrain
characterization, datasets available for terrain and watershed analysis have grown in size by orders of
magnitude. This has created a demand for new algorithms and tools that can operate efficiently and
effectively on such datasets to produce needed derivative data, and it has also opened opportunities for
research into new analytical techniques to address entirely new scientific questions in ways which were
not previously possible.
Ames and Glenn are particularly interested in the extraction of stream channel networks, flow paths,
and watershed boundaries directly from LiDAR data – without first the converting the LiDAR point
clouds into discrete regular grids (as is presently done). Indeed, the conversion of LiDAR data into a
regular grid removes significant amounts of potentially hydrologically important information from the
data. In doing so, areas of high terrain variability can become “smoothed over,” interesting and unique
flow paths can be lost, and information that could be critical to understanding how water is entrapped for
evoptranspiration and infiltration processes is destroyed. Given the proposed computational upgrades in
the DML, Ames and Glenn are expected to make significant new contributions in the area of extraction of
hydrologic variables directly from LiDAR data sets. The effort will focus on developing new core
algorithms necessary to convert high resolution LiDAR data into a fine-grained triangular mesh (called a
TIN) that maintains significantly more detailed information in the data than does a regularly spaced grid
data model; and algorithms to extract watershed boundaries, streamflow networks, potential flood zones,
and flow paths directly from the resulting mesh. The proposed algorithms and tools represent a
significant scientific contribution to the ability to convert LiDAR data into usable derivative datasets for
environmental applications nationally and globally, as such data continues to become more available.
INTEGRATED FRAMEWORKS FOR SPATIO‐TEMPORAL MODELING The NSF sponsored CUAHSI Hydrologic Information Systems (HIS) project (his.cuahsi.org) has
produced a standard for communication of hydrologic data across computer networks. This standard
(WaterML) is an XML based protocol that is currently being adopted by the USGS NWIS system, EPA’s
STORET system and a large number of environmental data observatory programs nationally. As a
CUAHSI HIS project team member, Ames has been instrumental in helping design and develop a new set
of tools that extend HIS and WaterML data sharing to the desktop for use by individual researchers. As
the network of HIS and WaterML based data storage and retrieval systems for water resources and
climate data continues to grow, research opportunities arise for integrating this data into modeling and
decision support systems. Toward this end, we have begun the development of protocols and tools for the
integration of data from HIS servers into a computational framework for modeling and decision support
systems. The framework builds largely on the European Union sponsored Open Modeling Interface
(OpenMI) project which is a specification for data sharing and communication between hydrologic model
components and anticipates the need for solutions that support investigation of spatio-temporal process
such as landscape evolution, stream network migration, and watershed dynamics. We envision using the
proposed enhanced DML facility to become more competitive for research funding that will allow
combining the strengths of the standards-based WaterML data communication language developed by
CUAHSI together with the OpenMI standard for communication of inputs, outputs, and parameters
between multiple climate-water models or sub-models using open source software libraries, Open
Geospatial Consortium (OGC) standards, and commercial off the shelf (COTS) software as appropriate.
The results of such research will be a protocol and several test cases that extend cyberinfrastructure
from distributed server-based data storage and sharing through standards based web services systems, and
finally to operational modeling systems in a fully linked, modular, extensible and reproducible system.
This will involve implementing and extending specific existing watershed modeling and monitoring
software packages such that they can interact with each other through the OpenMI communication
standard; deployment of existing and new algorithms and sub-models as libraries developed in multiple
languages and platforms which can interact at run-time through OpenMI compliance; creation of a “webmodel” concept using both OpenMI and the OGC Web Processing Service standard; and protocols and
prototype software for integration of HIS web services directly into a model (web-based or standalone)
using these existing standards. In short, this project serves as a model for developing and deploying
desktop and web-based, highly networked, integrated modeling systems using distributed web processing
services and a number of well established protocols (WaterML, WPS, OpenMI, etc.). Indeed the proposed
computational resources of the DML will be critical for the successful undertaking of this effort.
(4) JOHN WELHAN – GEOSTATISTICAL ANALYSIS OF AQUIFER HOST‐ROCKS SUBSURFACE MODELING: STOCHASTIC SIMULATION OF AQUIFER HETEROGENEITY Describing and modeling the relevant hydraulic architecture of fractured and other strongly
heterogeneous porous media like the Floridan aquifer or the Columbia Plateau basaltic aquifer poses
challenges that have yet to be resolved at the spatial scales necessary for small- and intermediate-scale
flow and transport analysis. Dense well spacing is impractical in most cases whereas geophysical
imaging methods such as crosshole tomography do not yet have sufficient resolution at the meter scale to
map fast-path flow zones over practically useful distances (Barrash and Clemo, 2002; Tronicke et al.,
2004). In the areas of arrival-time prediction, contaminant dispersion, and risk assessment, conventional
equivalent porous medium modeling approaches are unsuitable for all but the largest regional model
scales (Ackerman et al., 2006). This is especially so in the eastern Snake River Plain (ESRP) aquifer, a
layered basalt and sedimentary system, owing to the extreme range of spatial scales over which porosity
and permeability vary (decimeter to kilometer), the complex spatial arrangement of its mixed fracturevesicular-intergranular porosity, and the prominent role that inter-lava flow rubble zones and other
primary porosity play in focusing preferential ground water flow over scales of tens to thousands of
meters. For example, conventional intermediate-scale transport modeling in the ESRP aquifer has used
dispersivity coefficients of the order of 100 meters to explain the migration of radioactive contaminants.
In contrast, we have shown that a 1-D system-response model requires only a 5-meter longitudinal
dispersivity to reproduce 36Cl tracer response over 20 km travel distances (Cecil et al, 2000), reflecting
the influence of preferential flow within this aquifer.
The ESRP aquifer offers tremendous opportunities for understanding fundamental flow and
transport phenomena in heterogeneous porous media at a range of field scales. The proximity of the
Idaho National Laboratory (INL), the DOE and USGS scientists with whom we collaborate, and the
availability of instrumented wells, geological and geochemical databases, and decades of tracer transport
and modeling studies make this an ideal location for investigating these types of problems. Welhan and
coworkers have pioneered research into geostatistical and stochastic methods for quantifying subsurface
heterogeneity in the ESRP and developed a practical, field-based method for modeling heterogeneity in
complex layered aquifers (Welhan et al., 2002a, 2004a, 2006; Gego et al., 2002; Stroup et al., 2008).
Welhan et al. (2002a) showed that the 3D spatial architecture of inter-flow zones and sedimentary
aquitards can be modeled at the local scale (100s of meters) with a Monte Carlo simulator coded for
sequential indicator variables and conditioned on core data and borehole geophysical information, as well
as on soft geometric constraints obtained from outcrop analogs of the subsurface (Welhan et al., 2002b).
To effectively incorporate more soft information from large-scale aquifer stratigraphy and larger-scale
aerial photographic and outcrop measurements, Clemo and Welhan (2000) proposed the use of more
flexible techniques such as simulated annealing and structure imitation using a state-of-the-art genetic
algorithm. Such methods are computationally intensive, however, typically tying up a 2 GHz desktop
processor overnight or longer for even modest 3-D model grids, so we have been unable to pursue this
line of research because of practical limitations on computing resources. Relative to a 2GHz Pentium
with 1Gb RAM, we estimate a ten- to twenty-fold increase in our ability to run such simulations on a 3+
GHz Core 2 duo or better processor with 4 Gb RAM.
GEOCOMPUTATION: SIMULATION‐BASED SPATIAL DATA ANALYSIS Monte Carlo simulation approaches to statistical testing and modeling are gaining importance in
the Geographic Information sciences as software sophistication takes advantage of increased desktop
computing power. For example, ESRI's ArcMap platform now contains applications that offer Monte
Carlo simulation options for estimating confidence limits in hypothesis testing as well as an
implementation of a sequential Gaussian simulator to perform predictive modeling and risk analysis.
However, relatively small gridded data sets can take five minutes or more to execute on a 2 GHz desktop
processor, and moderate- to large-size grids can be unwieldy or prohibitive to process and analyze.
A new research project just underway, funded by the Idaho Department of Environmental
Quality, is designed to evaluate the relative errors and sensitivity of multi-raster GIS models, using
permutation analysis as a technique to evaluate sensitivity to misclassification errors. This research is
part of a broader goal of developing practical, more accurate GIS-based tools for planners and decision
makers (e.g., Rupert, 2001). For this project, we are developing the permutation and statistical analysis
tools within ArcMap to run on existing hardware, but once the tools are debugged, they will be running
hundreds of permutations with numerous input rasters and hundreds of intermediate calculations, so we
expect to encounter the same hardware performance ceiling unless we realize a 5-fold increase in
computing power.
GEOCOMPUTATION: OPTIMIZATION OF SAMPLING NETWORKS Stochastic simulation has also become an important tool in optimizing sample network coverage
and performance. Whether in ground-water monitoring, site remediation, or regional snow pack
modeling, optimal sample placement reduces overall project cost and increases the reliability of
information that is collected. This is achieved by eliminating spatial redundancy that arises from strongly
autocorrelated sample locations, identifying under-sampled areas, and maximizing the benefit/cost ratio
of future sampling (Englund and Heravi, 1992; van Groenigen et al., 2004).
The same concept can be extended into the temporal reference frame and has become an area of
cutting-edge research in the GIS and geostatistical fields (e.g., Christakos, 2000). During analysis of
Idaho statewide ground-water quality data, a database that spans twelve years and thousands of well
locations across Idaho, we discovered strong temporal autocorrelation and temporal data redundancy in
nitrate and other analytes. Spatio-temporal kriging of the data set revealed that spatial and temporal
variations in ground-water quality could be identified just as reliably and at far less sampling cost by
exploiting spatio-temporal autocorrelation in the historical data to identify optimal sample collection
frequency and locations (Welhan et al., 2004b, 2004c). Lacking the computational power to pursue this
line of research, however, we have not investigated the feasibility of applying a spatio-temporal Monte
Carlo simulator to demonstrate the statewide cost savings if the network and sampling plan were
optimized. With a substantial upgrade in desktop-scale computing power, this line of research will
become an immediate priority.
PROPOSED EXPENDITURES AND JUSTIFICATION In support of the research described previously, this proposal requests funds to upgrade the
Geosciences Digital Mapping Laboratory with 23 workstations, two servers, and associated high-speed
connections. Four workstations will be Dell T5400s. These computers are best suited for high-speed
processing of large raster data sets, especially IDL and other software that can take advantage of large
RAM and multi-threading capabilities on multi-core processors. Nineteen workstations will be Dell
Optiplex 960s. These are best suited for GIS analysis, specialized MATLAB and other purpose-specific
software requiring higher processor speeds, RAM and storage capacity than are currently available on
DML workstations. All workstations will have high-speed (1 Gbit per second, bps) intranet connectivity
to allow rapid transfer of large data sets to and from the servers, and will be equipped with 4 Gb RAM,
320 Mb storage capacity, and dual monitors to permit high resolution visualization of large data sets and
geographically extensive study areas.
Two identical servers, each with 4 Tb storage capacity, are requested. One will be the primary
server to the 23 research workstations and will hold most of the raw and processed data sets being
analyzed in the DML. Processed data will be stored on individual workstations but also will be backed up
regularly and automatically to the second server, providing redundancy in the event of equipment failure.
Both servers will be located in a ventilated, air-conditioned room one floor above the DML, and both will
be connected to an uninterrupted power supply (UPS) to accommodate power outages which occur 1-3
times per year, on average.
High-speed network connections between workstations and servers are critical to the efficient
transfer of information. We propose to upgrade the existing DML network from 10 Mbps to 1 Gb/s.
Wiring to accomplish this is mostly in place within the Physical Sciences building, where the DML
resides, and merely requires the installation of 3 switches – one for the servers and two for the DML. The
ISU Computer Center will install and permanently maintain the switches and wiring.
The ISU Physical Science building is currently linked to other computing facilities on the ISU
campus via 45 Mbps cable, but this will be replaced with 1 Gb/s fiber optic cable using state-appropriated
funds leveraged from this grant, thereby permitting rapid file sharing with the ISU GIS Training and
Research Center and the ISU Library. It will also allow us to take advantage of 155 Mb/s transfer speeds
on the Internet-II line that connects ISU to the outside digital world, and will prepare us for forthcoming
upgrades to that Internet II line. The requested upgrade represents a critically important improvement to
the DML computer facility because our departmental research groups are spread over three campuses that
are 50 to 250 miles apart. The proposed 100x increase in on-campus transfer rates, and the 15x increase
off-campus, would significantly enhance the efficiency and productivity of departmental research.
EQUIPMENT INVENTORY, MAINTENANCE, AND OPERATION ISU Geosciences operates three research computing labs, including the DML at the Pocatello
campus which supports 9 faculty and 30 graduate students, the Geospatial Software Lab at the Idaho Falls
campus (1 faculty, 10 graduate students), and the Boise Center Aerospace Lab (BCAL) (2 faculty, 10
graduate students). Although individual faculty and students reside at one campus, our research groups
commonly span two or even three campuses. Collaboration and advising is accomplished via bi-weekly
visits to the Pocatello campus and more frequently via digital means (including shared servers, ftp
exchange, email, web-conferencing and compressed video). The DML serves the greatest number of
researchers but is the least capable of the three computer labs: as shown in the listing of Facilities and
Equipment, the DML currently has only four workstations that are less than 4 years old.
Maintenance of the DML is overseen by a team of three faculty and staff members. Professor and
PI Crosby provides academic leadership and determines the overall configuration and use of equipment.
IT Specialist Ben Nickell is a full-time ISU staff member who oversees all computer hardware for three
ISU departments (Physics, Geosciences, Mathematics) on the Pocatello campus including the DML. IT
Specialist Diana Boyack is a full-time ISU Geosciences staff member who is the department’s (1) day-today supervisor of the DML and adjacent teaching lab, (2) sole occupant of the department’s help-desk, (3)
Web and Geosciences intranet manager, and (4) scientific illustrator. Resumes for all three are appended
to this proposal. This support team has kept the facility operating efficiently for nearly a decade.
The DML is supported by funds from several sources (Table 1). Indirect costs recovered from
external grants support expenditures on staff support, peripherals, and software in the DML. Another
source of funding is directly from external research grants – every project that involves DML time is
requested to pay $25/hour for use of all equipment and expendable supplies. Typically only a fraction
(10-20%) of the actual usage time is recouped from each grant. A third source is state-appropriated
capital outlay funds, which have been sufficient to purchase one to two computers (department-wide)
annually during the past 9 years. Finally, graduate students are assessed a class fee of $60 per semester
when they enroll in Thesis or Dissertation credits (usually during their last 2-4 semesters of residence).
These funds are used for supplies including printer paper, toner cartridges, and basic software packages.
Except for the replacement of old or obsolete hardware, the DML operates with a balanced budget.
Table 1 – Funding for the ISU Digital Mapping Laboratory - 2008
Income
Annual Amount
Indirect Costs from external research grants
Direct charges to external research grants
Student Fees
State-appropriated salary
State-appropriated capital outlay
Total
30,000
18,000
10,000
8,000
5,000
$73,000
Expenditures
Annual Amount
IT Specialist salary/fringe (100% of Diana Boyack)
IT Specialist salary/fringe (15% of Ben Nickell time)
Capital Outlay - computers & peripherals
Materials & Supplies
Total
45,000
8,000
5,000
15,000
$73,000
BROADER IMPACTS The proposed facility upgrade will promote teaching and training of a core group of graduate
students (~15/year) involved in the four research groups. Other geoscience graduate students (another
15/year) will also benefit from access to the facility and its high-speed connections as they use remote
sensing and GIS data to complement their primary analyses in structure, stratigraphy, geomorphology,
and petrology. Advanced undergraduate students (~5/year) who become involved in research projects
will use the facility, introducing them to high-speed visualization and mapping capabilities at a critical
time in their education and thus enticing them to follow this path in their graduate education. As research
is completed and results published, the PIs will incorporate these projects into the undergraduate and
graduate curriculum, thereby exposing a broad spectrum of student geoscientists (~40/year) to high-speed
computing. Over the 5-year lifespan of these computers, this adds up to 375 geoscience majors and
graduate students who will benefit.
With regard to underrepresented groups, this proposal involves one female PI and, over a five
year period, will impact approximately 40% of ISU geoscience students who are female (~150 students
total). Some will be direct participants in the research, others will use the facility, and others will learn
about the results in their courses. Explicit collaborative ties with Tribal communities exist in both of
Crosby’s projects and students from the Shoshone-Bannock Tribes have taken classes that utilize data and
models developed in the DML.
The facility will allow Crosby to share his curriculum for digital courses with other universities, and Crosby, Ames, and Glenn to transfer newly developed research tools to existing NSF‐funded projects (Geomorphtools.org, CUAHSI, HIS, WATERS network, CSDMS, GeoPads). By
its very nature, this proposal will enhance infrastructure for research and education. Providing advanced
computing resources will lead to the development of new information tools, large databases, and digital
libraries that can be accessed by a wide spectrum of geoscientists both within and beyond the department.
In addition, this project will leverage connectivity activities proposed in a pending NSF
Cyberinfrastructure Grant (Collaborative Research: Cyberinfrastructure Development for the Western
Consortium of Idaho, Nevada, and New Mexico). These activities include improved connectivity for
BCAL in the Idaho Water Center from approximately 4.5Mbps to 20Mbps (minimum) and 1Gb/s LAN
connectivity for 23 ports for other researchers in Geosciences Pocatello. This improved connectivity will
allow faster connection to the DML for researchers not targeted in this EAR/IF grant.
Finally, the research projects described in this proposal will have a strong impact on societal decisions
regarding land use, water resources, and urban expansion. All projects concern environmental aspects of
surface or near-surface geologic processes and all projects will yield results that can be delivered
immediately to stakeholders and policy makers. Landslide potential, post-wildfire erosion, fracturedominated aquifer flow, and watershed management are critical issues in the American West and other
mountainous, semi-arid regions throughout the world, making these research results pertinent to a diverse
audience. REFERENCES CITED ACIA Team. 2004. Impacts of a Warming Climate: Arctic Climate Impact Assessment.
Cambridge University Press. Available at http://www.uaf.edu/acia/.
Ackerman, D.J., G.W. Rattray, J.P. Rousseau, L.C. Davis and B.R. Orr, 2006, A conceptual
model of ground-water flow in the eastern Snake River Plain aquifer with implications for
contaminant transport: U.S. Geological Survey Sci. Investigations Rept. 2006-5122, 62 pp.
Ames, D.P., Rafn, E., Van Kirk, R., and Crosby, B., 2008. Estimation of Stream Channel
Geometry in Idaho using GIS‐Derived Watershed Characteristics. Environmental Modeling
and Software (in press).
Ames, D.P., Michaelis, C., Anselmo, A., Chen, L., and Dunsford, H., 2008, MapWindow GIS,
Encyclopedia of GIS, Springer, pp. 633-634.
Arrowsmith, J.R., Glenn, N., Crosby, C., Cowgill, E., 2008, Current capabilities and community
needs for software tools and educational resources for use with LiDAR high resolution
topography data, Report written for NSF June 2008 Boulder, Colorado, Workshop on HighResolution Topographic Data.
Barrash, W. and T. Clemo, 2002, Hierarchical geostatistics and multifacies systems: Boise
Hydrogeophysical Research Site, Boise, Idaho: Water Resources Research, v. 38, no. 10,
1196, 10.1029/2002WR001436, 2002.
Cecil, L.D., J.A. Welhan, J.R. Green, S.K. Frape, and E.R. Sudicky, 2000, Use of chlorine-36 to
determine regional-scale aquifer dispersivity, eastern Snake River Plain aquifer, Idaho;
Nuclear Instruments and Methods in Physics Research B 172, p. 679-687.
Carlson, E. J., Crosby, B. T. and Olson, N. F., 2008, Temporal and Spatial Variation in Tributary
and Mainstem Suspended Sediment Fluxes in Big Creek, a Recently Burned Sub-Alpine
Idaho Catchment, Eos Trans. AGU, 89 (53), Fall Meet. Suppl., Abstract H53C-1089 .
Christakos. G.,2000, Modern Spatiotemporal Geostatistics; Oxford Univ. Press, 312 pp.
Clemo, T. and J. Welhan, 2000, Simulating basalt lava flows using a structure imitation
approach, in Bentley, L.R., Sykes, J.F. and Brebbia, C.A. (eds), Computational Methods in
Water Resources, Proc. XIIIth International Conf. on Computational Methods in Water
Resources, p.841-848, Balkema, Rotterdam.
Crosby, B.T., Whipple, K.X., 2006, Knickpoint initiation and distribution within fluvial
networks: 236 waterfalls in the Waipaoa River, North Island, New Zealand,Geomorphology,
v. 82, no. 1-2.
Crosby, B. T., Whipple, K. X, Gasparini, N. M. and Wobus, C. W., 2007, Formation of Fluvial
Hanging Valleys: Theory and Simulation, Journal of Geophysical Research-Earth Surface,
vo1. 112, F03S10, doi:10.1029/2006JF000566
Crosby, B. T., and N. F. Olson, 2007, Quantifying River Morphology in Arctic Streams: Remote
Sensing and Field Based Measurement of Fluvial Response to Climate Change in Northern
Alaska, EOS TRANS. AGU, 88(52), Fall Meet. Suppl., Abstract H41D-0769.
Crosby, B. T., and C. V. Baxter, 2008, Scaling the Geomorphic and Ecological Consequences of
Contemporary Climate Change Within the Salmon River Watershed, Central Idaho: A View
From Taylor Ranch Field Station, Eos Trans. AGU, 89 (53), Fall Meet. Suppl., Abstract
H13C-0947.
Devele, B. and Srinivasan, R. 2006. Coupling upland watershed and downstream waterbody
hydrodynamics and water quality models (SWAT and CE-QLAL-W2) for better water
resources management in complex river basins, Envirn Model Assess DOI 10.1007/s10666006-9075-1
Emmett, W. W., 1975. The Channels and Waters of the Upper Salmon River Area, Idaho. U. S.
Geological Survey Professional Paper 870-A, p. 1-116 and i-viii.
Englund, E.J. and Heravi, N., 1992, Conditional simulation: Practical applications for sampling
desighn optimization: in Geostatistics Trois, ’92, A. Soares (ed.), Kluwer Academic
Publishers, Dordreecht, pp. 613-624.
Finley, C., and Glenn, N.F., Fire and vegetation effects on soil hydrophobicity and infiltration in
the sagebrush-steppe: II. Hyperspectral analysis, Journal of Arid Environments, in review
Garbrecht, J. and L. W. Martz, 1997, "The Assignment of Drainage Direction over Flat Surfaces
in Raster Digital Elevation Models," Journal of Hydrology, 193: 204-213.
Gego, E.L., G.S. Johnson, M.R. Hankin, J.A. Welhan, 2002, Modeling ground water flow and
transport in the Snake River Plain aquifer: a stochastic approach; in Link, P.K., Mink, R. and
Ralston, D., eds., Geology, hydrogeology and environmental remediation, Idaho National
engineering and Environmental Laboratory, eastern Snake River Plain, Idaho; Geological
Society of America, Special Paper 353, p. 249-261.
Glenn, N.F., Mundt, J.T., Weber, K.T., Prather, T.S., Lass, L.W., Pettingill, J., 2005.
Hyperspectral data processing for repeat detection of small infestations of leafy spurge.
Remote Sensing of Environment, 95: 399–412.
Glenn, N.F., Streutker, D., Chadwick, J., Thackray, G., Dorsch, S., 2006. Analysis of LiDARderived topographic information for characterizing and differentiating landslide morphology
and activity. Geomorphology, 73 (1-2) 131-148.
Goetz, A., Vane, G., Solomon, J., Rock, B., 1985, Imaging spectrometry fo rEarth remote
sensing, Science, vol 228, PP 1147-1153
Harsatni, J.C. and Chein-I Chang, 1994. Hyperspectral image classification and dimensionality
reduction: an orthogonal subspace projection approach. IEEE Transactions on Geoscience
and Remote Sensing 32:779–784.
Heinz, D. C., and Chang, C.I., 2001, Fully constrained least squares linear spectral mixture
analysis method for material quantification in hyperspectral imagery. IEEE Transactions on
Geoscience and Remote Sensing, 39, 529–545.
Hicke, J.A., J.A. Logan, J. Powell, and D.S. Ojima. 2006. Changing temperatures influence
suitability for modeled mountain pine beetle (Dendroctonus ponderosae) outbreaks in the
western United States. Journal of Geophysical Research-Biogeosciences 111:G02019,
doi:02010.01029/02005JG000101.
Jorgenson, M. T., and T. E. Osterkamp. 2005. Response of boreal ecosystems to varying modes
of permafrost degradation. Canadian Journal of Forest Research 35:2100-2111.
Jorgenson, M. T, Y. L. Shur, and E. R. Pullman. 2006b. Abrupt increase in permafrost
degradation in Arctic Alaska. Geophysical Research Letters, 33, L02503,
doi:10.1029/2005GL024960.
Jorgenson, M. T, Y. L. Shur, and T. E. Osterkamp. 2008, Thermokarst in Alaska, Ninth
International Conference on Permafrost, Fairbanks Alaska, 1-6
Kruse, F., Boardman, J., Huntington, J., 2003, Comparison of Airborne Hyperspectral Data and
E0-1 Hyperion for Mineral Mapping, IEEE Transactions on Geoscience and Remote Sensing,
41, 6, 1388-1400.
McKean, J., Roering, J., 2004. Objective landslide detection and surface morphology mapping
using high-resolution airborne laser altimetry. Geomorphology 57, 331–351.
Michaelis, C. and Ames, D.P., 2007. Evaluation of the OGC Web Processing Service for Use in
a Client‐Side GIS. OSGeo Journal 1:50‐55.
Michaelis, C. and Ames, D.P., 2008. Evaluation and Implementation of OGC Web Processing
Service for use in Client‐Side GIS. Geoinformatica, April 1, 2008.
Minshall, G.W., R.C. Petersen, T.L. Bott, C.E. Cushing, K.W. Cummins, R.L. Vannote, and J.R.
Sedell, 1992, Stream ecosystem dynamics of the Salmon River, Idaho: an 8th order system.
Journal of the North American Benthological Society 11:111-137.
Mitchell, J., and Glenn, N.F., 2009, Leafy Spurge (Euphorbia esula L.) Classification
Performance Using Hyperspectral and Multispectral Sensors, Rangeland Ecology &
Management, 62.
Mitchell, J., and Glenn, N.F., Matched filtering subpixel abundance estimates in mixture-tuned
matched filtering classifications of leafy spurge (Euphorbia esula L.), International Journal of
Remote Sensing, in press
Moore, C., Hoffman, G., Glenn, N., 2007, Quantifying Basalt Rock Outcrops in NRCS Soil Map
Units Using Landsat-5 Data, Soil Survey Horizons, 48: 59–62.
Olson, N. F. and B. T. Crosby, 2008, Topographic Controls on the Distribution and Timing of
Spring Runoff in a Snow- Dominated Basin in Central Idaho, Eos Trans. AGU, 89 (53), Fall
Meet. Suppl., Abstract H31E-0920.
Osterkamp, T. E. and V. E. Romanovsky. 1999. Evidence for warming and thawing of
discontinuous permafrost in Alaska. Permafrost and Periglacial Processes 10:17-37.
Perron, J., Kirchner, J., Dietrich, W., 2008, Spectral signatures of characteristic spatial scales and
non-fractal structure in landscapes, J. Geophys. Res. – Earth Surface, Vol. 113,
doi:10.1029/2007JF000866.
Rafn, E., Contor, B., and Ames, D.P., 2008. Evaluation of a Method for Estimating Irrigated
Crop‐Evapotranspiration Coefficients from Remotely Sensed Data in Idaho. ASCE Journal
of Irrigation and Drainage Engineering (in press).
Rupert, M.G., 2001, Calibration of the DRASTIC ground water vulnerability mapping method:
Ground Water, v.39, pp.625-630.
Settle, J.J. and Drake, N.A., 1993, Linear mixing and the estimation of ground cover proportions.
International Journal of Remote Sensing, 14, pp. 1159–1177.
Stewart, I.T., Cayan, D.R., Dettinger, M.D., 2004, Changes in snowmelt runoff timing in western
North America under a ‘business as usual’ climate change scenario. Climatic Change v.62
pp. 217-232.
Streutker, D. and Glenn, N., 2006. LiDAR measurement of sagebrush steppe vegetation heights.
Remote Sensing of Environment, 102, 135-145.
Stroup, C.N., J.A. Welhan and L,C, Davis, 2008, Statistical stationarity of sediment interbed
thicknesses in a basalt aquifer, Idaho National Laboratory, Eastern Snake River Plain, Idaho;
U.S. Geological Survey Scientific Investigations Report, 2008-5167.
Tarboton, D. G. and D. P. Ames, (2001),"Advances in the mapping of flow networks from
digital elevation data," in World Water and Environmental Resources Congress, Orlando,
Florida, May 20-24, ASCE.
Tronicke, J., K. Holliger, W. Barrash and M.D. Knoll, 2004, Multivariate analysis of crosshole
georadar velocity and attenuation tomograms for aquifer zonation: Water Resources
Research v. 40, no. 1, 1519-1529.
United States Environmental Protection Agency, 2006, BASINS, Accessed May 30, 2006 at the
EPA Website: http://www.epa.gov/OST/BASINS/
Ustin, S. L., Roberts, D. A., Gamon, J. A., Asner, G. P., & Green, R. O.(2004). Using imaging
spectroscopy to study ecosystem processes and properties. Bioscience, 54(6), 523– 534.
van Groenigen, J.W., Siderius, W., Stein, A., 2004, Constrained optimisation of soil sampling for
minimisation of the kriging variance: Geoderma, v.123, 239–259.
Wang, C., and Glenn, N.F., 2008, A linear regression method for tree canopy height estimation
using airborne LiDAR data, Canadian Journal of Remote Sensing, 34:217-227.
Welhan, J.A., C.M. Johannesen, K. Reeves, T. Clemo, J.A. Glover and K. Bosworth, 2002b,
Morphology of inflated pahoehoe lavas and spatial architecture of their porous and
permeable zones, eastern Snake River Plain, Idaho, in Link, P.K., Mink, R. and Ralston, D.,
eds., Geology, hydrogeology and environmental remediation, Idaho National engineering and
Environmental Laboratory, eastern Snake River Plain, Idaho; Geological Society of America,
Special Paper 353, p. 135-150.
Welhan, J.A., C.M. Johannesen, L.L. Davis, K. Reeves, and J.A. Glover, 2004a, Overview and
synthesis of lithologic controls on aquifer heterogeneity in the eastern Snake River Plain,
Idaho; in Bill Bonnichsen, C.M. White, and Michael McCurry, eds., Tectonic and Magmatic
Evolution of the Snake River Plain Volcanic Province: Idaho Geological Survey Bulletin 30,
p. 435-460.
Welhan, J.A., M. Merrick, K. Neeley and E. Hagan, 2004b, The use of 2- and 3-D kriging to
prioritize spatial and temporal water quality trends; 14th Nonpoint Source Water Quality
Monitoring Workshop, Boise, January, Abstracts with Programs, p.9-10.
Welhan, J.A., M. Merrick, K. Neeley, and E. Hagan, 2004c. Spatial-temporal analysis of ground
water quality data: the use of multidimensional kriging; Geological Society of America,
Rocky Mountain-Cordilleran Sections, Boise, May; Abstracts with Programs, Paper 24-14.
Welhan, J.A., R.L. Farabaugh, Merrick, M.J. and S.R. Anderson, 2006, Geostatistical Modeling
of Sediment Abundance in a Heterogeneous Basalt Aquifer at the Idaho National Laboratory,
Idaho; U.S. Geological Survey Scientific Investigations Report, 2006-5316.
Welhan, J.A., T. Clemo and E. Gego, 2002a, Stochastic simulation of aquifer heterogeneity in a
layered basalt aquifer system, eastern Snake River Plain, Idaho, in Link, P.K., Mink, R. and
Ralston, D., eds., Geology, hydrogeology and environmental remediation, Idaho National
engineering and Environmental Laboratory, eastern Snake River Plain, Idaho; Geological
Society of America, Special Paper 353, p. 225-247.
Wobus, C.W., Crosby, B.T., Whipple, K.X., 2006a, Hanging valleys in fluvial systems: Controls
on occurrence and implications for landscape evolution, Journal of Geophysical ResearchEarth Surface, v. 111, no. F2, F02017, 10.1029/2005JF000406.
Wobus, C.W., Whipple, K.X., Kirby, E., Snyder, N.P., Johnson, J., Spyropolou, K., Crosby,
B.T., Sheehan, D., 2006b, Tectonics from topography: Procedures, promise and pitfalls. in
Willett, S.D., Hovius, N., Brandon, M.T., and Fisher, D. M., eds., Tectonics, Climate and
Landscape Evolution: Geological Society of America Special Paper 398, Penrose Conference
Series, p. 55-74.
Dr. Benjamin T. Crosby
[email protected]
208-282-2949
Idaho State University
Department of Geosciences
Campus Box 8072
Pocatello, ID 83209-8072
Professional preparation
University of California at Berkeley
Massachusetts Institute of Technology
Geology (with honors)
Geology/Geomorphology
B.A.
Ph.D.
1999
2006
Appointments
Assistant Professor, Dept. of Geosciences, Idaho State University
Research Assistant, Dept. of Earth, Atmospheric and Planetary Sciences, MIT
Teaching Assistant, Dept of Earth, Atmospheric and Planetary Sciences, MIT
Teaching Assistant, Dept of Earth Sciences, Harvard University
Exploration Geologist: Cominco Alaska, Red Dog Pb/Zn Mine
Geologic Curriculum Developer: National Parks Service, Kotzebue, Alaska
Geologic Curriculum Developer: FOSS Science, Lawrence Berkeley National Labs
(2006 )
(2003-2006)
(2000-2003)
(2003
)
(1999-2000)
(1999-2000)
(1997-1999)
Related Publications
Related to Proposed Project:
Mackey, B.H., Roering, J.J., McKean, J.A., Crosby, B.T., Dietrich, W.E., in review, Long-term
landslide response to channel network dynamics: Spatial analysis using airborne laser swath
mapping, SF Eel River, CA, Geophysical Research Letters.
Ames, D.P., E. Rafn, R. Van Kirk, and B. Crosby, 2009. Estimation of Stream Channel Geometry in Idaho using
GIS-Derived Watershed Characteristics. Environmental Modeling and Software, vol. 24, no. 3, p. 444-448
Ouimet, W.B., Whipple, K.X., Crosby, B.T. Johnson, J.P. Schildgen, T.F., 2008,
Epigenetic Gorges in Fluvial Landscapes, Earth Surface Processes and Landforms, vol. 33, no. 13, p.
1993-2009
Crosby, B. T., and N. F. Olson, 2007, Quantifying River Morphology in Arctic Streams: Remote Sensing
and Field Based Measurement of Fluvial Response to Climate Change in Northern Alaska, Eos Trans.
AGU, 88(52), Fall Meet. Suppl., Abstract H41D-0769.
Crosby, B. T., Whipple, K. X, Gasparini, N. M. and Wobus, C. W., (2007), Formation of Fluvial
Hanging Valleys: Theory and Simulation, Journal of Geophysical Research-Earth Surface, vo1.
112, F03S10, doi:10.1029/2006JF000566
Other Significant Publications
Crosby, B. T., and C. V. Baxter, 2008, Scaling the Geomorphic and Ecological Consequences of
Contemporary Climate Change Within the Salmon River Watershed, Central Idaho: A View From Taylor
Ranch Field Station, Eos Trans. AGU, 89 (53), Fall Meet. Suppl., Abstract H13C-0947.
Whitehead, K., B. T. Crosby, and J. Mahar, 2008, Variation in Geologic and Topographic
Setting Cause Spatial Correlations Between Hillslope Failure Mechanisms in the Ridge Basin, California,
Eos Trans. AGU, 89 (53), Fall Meet. Suppl., Abstract H51F-0905.
Crosby, B.T., Whipple, K.X., 2006, Knickpoint initiation and distribution within fluvial
networks: 236 waterfalls in the Waipaoa River, North Island, New Zealand, Geomorphology, v.
82, no. 1-2.
Wobus, C.W., Crosby, B.T., Whipple, K.X., 2006, Hanging valleys in fluvial systems: Hanging
valleys in fluvial systems: Controls on occurrence and implications for landscape evolution,
Journal of Geophysical Research-Earth Surface, v. 111, no. F2, F02017, 10.1029/2005JF000406.
1
Wobus, C.W., Whipple, K.X., Kirby, E., Snyder, N.P., Johnson, J., Spyropolou, K., Crosby, B.T.,
Sheehan, D., 2006, Tectonics from topography: Procedures, promise and pitfalls. in Willett, S.D.,
Hovius, N., Brandon, M.T., and Fisher, D. M., eds., Tectonics, Climate and Landscape Evolution:
Geological Society of America Special Paper 398, Penrose Conference Series, p. 55-74.
Synergistic activities
Innovation and publication of a new curriculum for digital field geology.
(2005-present)
Developing classroom and field exercises to train undergraduate and graduate students from
numerous institutions on the best methods of doing data collection and analysis using modern
mobile GIS tools. This curriculum has been utilized at numerous other schools and presented at
conferences and shortcourses. It is currently in use at MIT’s and ISU’s field geology camp.
Courses have also been taught at the Univ. of Idaho. Materials created are available at:
(http://web.mit.edu/12.114/) and (http://serc.carleton.edu/research_education/geopad/).
Author of website and computational tools for topographic analysis
(2003-present)
Tools were developed to allow users to extract topographic data from digital elevation maps using
the combined computational efficiency of ArcGIS and MATLAB. These tools are currently in
use at numerous institutions by research groups in Geology, Biology and Engineering
departments. The tools are now freely available (http://geomorphtools.org) and an
oversubscribed short course (#506) was taught at the 2007 GSA Meeting in Denver. Discussion
forum added to website in Jan, 2009. Open to public Feb, 2009.
Management of Digital Mapping Laboratory, ISU
(2006-present)
I oversee the operation of this facility and the maintenance of the hardware and software therein.
Though my students are the most intensive users of the facility, I am responsible for assuring that
all researchers in the department have the optimum equipment to complete the geospatial or
computational components of their work.
Collaborators and Other Affiliations
Collaborators
Dr. Colden Baxter, Assistant Professor, Idaho State University
Dr. Nicole Gasparini, Assistant Prof., Tulane University
Dr. Jane Willenbring, Post-Doctoral Student, Leibniz Universität Hannover
Dr. Cameron Wobus, Post-Doctoral Student, University of Colorado Boulder
Dr. Breck Bowden, Professor, University of Vermont
Dr. Mike Gooseff, Professor, Penn State University
Graduate Advisors
Dr. Kelin Whipple, Professor of Geology, Thesis advisor, MIT
Dr. Rafael Bras, Professor of Civil and Environmental Engineering, MIT
Dr. David Mohrig, Associate Professor of Geology, MIT
Dr. Leigh Royden, Professor of Geophysics, MIT
Dr. Thomas Dunne, Professor, University of California at Santa Barbara
Advisor to:
Neil F Olson, M.S. candidate in Geology
Kelly Whitehead, M.S. candidate in Geology
Brad J. Gamett, M.S. candidate in Geographic Information Science
Linda Tedrow, M.S. candidate in Geographic Information Science
Chris Tennant, M.S. candidate in Geology
Kacy Kreiger; B.S. Thesis, Reconstruction of relict topographic surface, Waipaoa, NZ
Eric Carlson; B.S. Thesis, Sediment Delivery Following Wildfire, Big Creek, ID
2
Daniel P. Ames
Department of Geosciences
Phone: 208-282-7851
Idaho State University
Fax: 208-282-4414
Pocatello, Idaho 83209-8072
Email: [email protected]
Professional Preparation:
Utah State University, Civil and Environmental Engineering, B.S. 1996
Utah State University, Civil and Environmental Engineering, M.S. 1998
Utah State University, Civil and Environmental Engineering, Ph.D. 2002
Appointments:
2004-present: Assistant Professor, Dept. of Geosciences, Idaho State University
2002-04: Research Assistant Professor, Utah Water Research Lab, Logan, Utah
1998-02: Research Engineer, Utah Water Research Lab, Logan, Utah.
Publications related to this project:
Ames, D.P., Michaelis, C., Anselmo, A., Chen, L., and Dunsford, H. (2008).
“MapWindow GIS.” Encyclopedia of GIS. Springer, pp. 633-634.
Michaelis, C. and Ames, D.P., 2008. Evaluation and Implementation of OGC Web
Processing Service for use in Client-Side GIS. Geoinformatica, DOI:
10.1007/s10707-008-0048-1.
Ames, D. P. “Going Open Source: Migrating EPA’s BASINS Watershed Modeling
System into the Open Source MapWindow GIS Platform.” Proceedings of the 2005
Intermountain GIS Conference, Pocatello, ID.
Jolma, A., Ames, D.P., Horning, N., Mitasova, H., Neteler, M., Racicot, A., and Sutton,
T., 2008. Environmental Modeling and Management Using Free and Open Source
Geospatial Tools. Encyclopedia of GIS. Sashi Shekhar and Hui Xiong (Editors).
Springer, New York, pp. 275-279.
Ames, D.P., Rafn, E., Van Kirk, R., and Crosby, B., 2008. Estimation of Stream Channel
Geometry in Idaho using GIS-Derived Watershed Characteristics. Environmental
Modeling and Software (in press).
Other Significant Publications:
Rafn, E., Contor, B. and Ames, D.P. (2008). “Evaluation of a Method for Estimating
Irrigated Crop-Evapotranspiration Coefficients from Remotely Sensed Data in
Idaho.” ASCE Journal of Irrigation and Drainage Engineering (in press).
Michaelis, Christopher and Ames, Daniel P., (2007). Evaluation of the OGC Web
Processing Service for Use in a Client-Side GIS: OSGeo Journal, Volume 1, pp. 5055.
Ames, D. P., (2006). “Estimating 7Q10 Confidence Limits from Data: A Bootstrap
Approach,” J. Water Resour. Plng. and Mgmt., Volume 132, Issue 3, pp. 204-208.
Ames, D. P., Neilson, B. T., Stevens, D. K. and Lall, U. (2005) "Using Bayesian
networks to model watershed management decisions: an East Canyon Creek case
study." Journal of Hydroinformatics, Vol 7, issue 4. pp 267-282.
Synergistic Activities (last five years)
1. Partnership with the Pacific Northwest Regional Collaboratory to develop methods
for managing and deploying environmental sensing data for researchers in a three
state region.
2. Collaboration with USEPA Office of Water and Office of Research and Development
to create open source hydrologic and environmental modeling and spatial analysis
tools.
3. Partnership with Inland Northwest Research Alliance and participation on Water
Resources Steering Committee.
4. Collaboration with Boise Center Aerospace Laboratory. Membership in AWRA and
ASCE. Development of Idaho Geospatial Software Lab in Idaho Falls.
5. ISU representative for the Consortium of Universities for the Advancement of
Hydrologic Sciences Inc.
6. Journal reviewer for JAWRA, Computers and Geosciences, Hydrology, and
Environmental Modeling and Software.
Collaborators and Other Affiliations
(i) Collaborators (last 48 months)
Nancy F. Glenn, Idaho State University
Paul Link, Idaho State University
Scott Hughes, Idaho State University
Leif Tapanilla, Idaho State University
Benjamin Crosby, Idaho State University
Keith Weber, Idaho State University
Scott Hughes, Idaho State University
Thomas Windholz, Idaho State University
Jack Kittle, Aqua Terra Consultants
Gerry Laniak, EPA, Athens
Upmanu Lall, Columbia University
Randy Lee, Idaho National Engineering and Environmental Lab
Nancy Mesner, Utah State University
Ron Rope, Idaho National Engineering and Environmental Lab
David Stevens, Utah State University
David Tarboton, Utah State University
Luke White, Idaho National Engineering and Environmental Lab
Ari Jolma, Helsinki University of Technology
(ii) Graduate and Postdoctoral Advisors (current affiliations)
M.S: Upmanu Lall (Columbia Univ.).
Ph.D: Upmanu Lall (Columbia Univ.); David Stevens (Utah State Univ.).
(iii) Thesis Advisor and Postgraduate-Scholar Sponsor
M.S. Students (finished): Primary Advisor: Christopher Michaelis, Lailin
(Forest) Chen, Eric Rafn, Kit Na Goh, Co-Advisor: Jessica Mitchell, Kelli
Taylor, Desi Staires
M.S. Students (in progress): Primary Advisor: Allen Anselmo, Danny Anderson,
Guowen Hu, Ted Dunsford, Ahmad Aburizaiza, Brian Marchionni, Jeyakanthan
Veluppillai, Nathan Arave.
Biographical Sketch for Nancy F. Glenn
Research Associate Professor
Idaho State University
Professional Preparation
University of Nevada, Reno Geological Engineering, B.S. 1994,
University of California, Berkeley Geotechnical/Civil Engineering, M.S. 1996,
University of Nevada, Reno Geo-Engineering PhD, 2000
Appointments (academic/professional, beginning w/ most recent)
Research Associate Professor, Department of Geosciences, Idaho State University
(ISU), August 2005 Research Assistant Professor, Department of Geosciences, ISU, July 2000 - 2005
Research Assistant, Department of Geological Sciences, University of Nevada, Reno,
1997 - 2000
Teaching Assistant, Department of Geological Sciences, University of Nevada, Reno,
1997- 1998
Staff Geotechnical Engineer, GeoEngineers Inc., Redmond, WA, 1996-1997
Five Related Publications
Mitchell, J., and Glenn, N.F., Matched filtering subpixel abundance estimates in mixturetuned matched filtering classifications of leafy spurge (Euphorbia esula L.), International
Journal of Remote Sensing, in press
Streutker, D. and Glenn, N., 2006. LiDAR measurement of sagebrush steppe vegetation
heights. Remote Sensing of Environment, 102, 135-145.
Mundt, J., Streutker, D., Glenn, N., 2006. Mapping sagebrush distribution via fusion of
hyperspectral and LiDAR classifications. Photogrammetric Engineering and Remote
Sensing, 72 (1): 47-54.
Glenn, N.F., Streutker, D., Chadwick, J., Thackray, G., Dorsch, S., 2006. LiDAR derived
topographic analyses for studying landslide morphology, material type, and activity.
Geomorphology, 73 (1-2) 131-148.
Glenn, N.F., Mundt, J.T., Weber, K.T., Prather, T.S., Lass, L.W., Pettingill, J., 2005.
Hyperspectral data processing for repeat detection of small infestations of leafy spurge.
Remote Sensing of Environment, 95: 399–412.
Five Additional Publications
Mitchell, J., and Glenn, N.F., 2009, Leafy Spurge (Euphorbia esula L.) Classification
Performance Using Hyperspectral and Multispectral Sensors, Rangeland Ecology &
Management, 62.
Singh, N., and Glenn, N.F., Multitemporal spectral analysis for cheatgrass (Bromus
tectorum) classification, International Journal of Remote Sensing, in press
Chadwick, J., Glenn, N., Thackray, G., Dorsch, S., 2005. Landslide Surveillance: New
Tools for an Old Problem. EOS, 86(11): 109, 114.
Wang, C., and Glenn, N.F., A Gaussian-fitting model for DTM generation from airborne
LiDAR data in a forested mountain area, IEEE Geoscience and Remote Sensing
Letters, accepted
Biographical Sketch:
1
Wang, C., and Glenn, N.F., 2008, A linear regression method for tree canopy height
estimation using airborne LiDAR data, Canadian Journal of Remote Sensing, 34:217227.
Synergistic Activities Relevant to Proposed Project
(i) Established remote sensing research program at ISU in 2000, leading to
development and funding for the ISU Boise Center Aerospace Laboratory for research,
teaching, and outreach in remote sensing for the Intermountain West; research funding
as PI of more than $3M over 8 years;
(ii) Established framework and support for pioneering LiDAR processing tools,
improving vegetation removal for better bare earth accuracy and novel shrub ecosystem
modeling; free download to public (http://bcal.geology.isu.edu/);
(iv) Established tri-campus network for distance learning and visualization for remote
sensing research and geospatial technology courses;
(v) Serve as a research mentor to several female graduate students and returning
female undergraduate students each year;
(vi) Catalyst for ISU’s new PhD program in Geosciences thru co-development of
program and advising 2 of 4 new PhD students in department
Collaborators & Other Affiliations
Stuart Hardegree, Mark Seyfried, USDA-ARS
Shuhab Khan, University of Houston
Jim McKean, USFS RMRS
Jim McNamara, Boise State University
Teki Sankey, Glenn Thackray, Matt Germino, Dan Ames, Idaho State University
Lee Vierling, Paul Gessler, University of Idaho
Graduate and Post Doctoral Advisors
Jim Carr, University of Nevada-Reno
Nicholas Sitar, University of California-Berkeley
Thesis Advisor and Postgraduate-Scholar Sponsor
Thesis Advisor (Total of 9 graduate students)
Diane Sprague-Wheeler, Portneuf Environmental, Idaho Falls, ID
Jacob Mundt, Ada County Weed and Pest, Boise, ID
Nagendra Singh, Oak Ridge National Lab, Oak Ridge, TN
Charles Finley, Newmont Mining, Elko, NV
Jill Norton, Blaine County, Hailey, ID.
Jacob Tibbits, Bureau of Land Management, Eureka, NV
Joel Sankey, Idaho State University
Jessica Mitchell, Idaho State University
Sara Ehinger, Idaho State University
Post-doctoral Sponsor (Total of 4 post-doctoral students)
John Chadwick, University of North Carolina-Charlotte
David Streutker, National Geospatial Intelligence Agency
Mohamed Aly, University of California, Riverside
Cheng Wang, Idaho State University
Biographical Sketch:
2
Biographical Sketch - John Andrew Welhan
Contact Information:
Research Geologist, Idaho Geological Survey and
Graduate Affiliate Faculty, Idaho State University
Dept. of Geosciences, Pocatello, ID, 83209-8072
Telephone: 208-282-4254
Fax:
208-282-4414
Email:
[email protected]
Professional Preparation:
B.S., Geology, 1972, University of Manitoba
M.S., Earth Sciences, 1974, University of Waterloo
Ph.D., Earth Sciences, 1981, University of California, San Diego
Academic and Professional Appointments:
Full Research Professor, 1995-present, Idaho Geological Survey
Research Geologist, 1990-1995, Idaho Geological Survey
Affiliate Graduate Faculty, 1990-present, Department of Geosciences, Idaho State University
Associate Professor of Geochemistry, 1988-90; Assistant Professor of Geochemistry, 1984-88;
Department of Earth Sciences, Memorial University of Newfoundland
Assistant Research Geologist, 1981-84, Scripps Institution of Oceanography
Selected Publications Related to the Proposed Project:
Stroupe, C.N., J.A. Welhan and L,C, Davis, 2008, Statistical stationarity of sediment interbed
thicknesses in a basalt aquifer, Idaho National Laboratory, Eastern Snake River Plain, Idaho;
U.S. Geological Survey Scientific Investigations Report, 2008-5167.
Welhan, J.A., R.L. Farabaugh, Merrick, M.J. and S.R. Anderson, 2006, Geostatistical modeling of
sediment abundance in a heterogeneous basalt aquifer at the Idaho National Laboratory, Idaho;
U.S. Geological Survey Scientific Investigations Report, 2006-5316.
Welhan, J.A., C.M. Johannesen, L.L. Davis, K. Reeves, and J.A. Glover, 2004, Overview and
synthesis of lithologic controls on aquifer heterogeneity in the eastern Snake River Plain, Idaho;
in Bill Bonnichsen, C.M. White, and Michael McCurry, eds., Tectonic and Magmatic Evolution
of the Snake River Plain Volcanic Province: Idaho Geological Survey Bulletin 30, p. 435-460.
Welhan, J.A., T. Clemo and E. Gego, 2002, Stochastic simulation of aquifer heterogeneity in a
layered basalt aquifer system, eastern Snake River Plain, Idaho, in Link, P.K., Mink, R. and
Ralston, D., eds., Geology, hydrogeology and environmental remediation, Idaho National
engineering and Environmental Laboratory, eastern Snake River Plain, Idaho; Geological
Society of America, Special Paper 353, p. 225-247.
Welhan, J.A., C.M. Johannesen, K. Reeves, T. Clemo, J.A. Glover and K. Bosworth, 2002,
Morphology of inflated pahoehoe lavas and spatial architecture of their porous and permeable
zones, eastern Snake River Plain, Idaho, in Link, P.K., Mink, R. and Ralston, D., eds., Geology,
hydrogeology and environmental remediation, Idaho National engineering and Environmental
Laboratory, eastern Snake River Plain, Idaho; Geological Society of America, Special Paper 353,
p. 135-150.
Other Selected Publications:
Basagaoglu, H., P. Meakin, S. Succi and J. Welhan, Boundary effects on the onset of nonlinear flow
in porous domains; Europhysics Letters, vol. 73(6), pp. 1-6, 2005.
Gego, E.L., G.S. Johnson, M.R. Hankin, J.A. Welhan, Modeling ground water flow and transport in
the Snake River Plain aquifer: a stochastic approach; in Link, P.K., Mink, R. and Ralston, D.,
eds., Geology, hydrogeology and environmental remediation, Idaho National engineering and
Environmental Laboratory, eastern Snake River Plain, Idaho; Geological Society of America,
Special Paper 353, p. 249-261, 2002.
Cecil, L.D., J.A. Welhan, J.R. Green, S.K. Frape, and E.R. Sudicky, 2000, Use of chlorine-36 to
determine regional-scale aquifer dispersivity, eastern Snake River Plain aquifer, Idaho; Nuclear
Instruments and Methods in Physics Research B 172, p. 679-687.
Welhan, J.A. and M. Reed, 1997, Geostatistical analysis of regional hydraulic conductivity
variations in the Snake River Plain aquifer, eastern Idaho; Bull. Geol. Soc. America, v.109, pp.
855-868.
Synergistic Activities
Member, Idaho Governor’s Carbon Sequestration Advisory Committee
Member, Idaho Ground Water Monitoring Technical Committee, technical guidance and policy
review body for state drinking water quality monitoring.
Advisor to Idaho Dept. of Environmental Quality, developing statistical methods guidance for
statewide ground-water quality monitoring.
Invited presenter at workshop on geostatistical methods in spatio-temporal modeling of water
quality variations, Darling Marine Center, Maine, July, 2003.
Field Trip co-leader for interdisciplinary program in Subsurface Science for the Inland Northwest
Research Alliance, annually during Spring Break 2004-2008.
Recent Collaborators (past 48 months)
Hakan Basagaoglu, Southwest Research Inst., now at Oregon State Univ.
Mel Kuntz, U.S. Geological Survey
Ed Hagan, Idaho Dept. of Environmental Quality
Elese Teton, Shoshone-Bannock Tribal Water Resources Dept.
Joe Rousseau, U.S. Geological Survey
Graduate Advisor: Harmon Craig (deceased; University of California, San Diego, Scripps Institution)
Recent and Ongoing Graduate Advisees
Ph.D.: R. Farabaugh, C. Jenkins (Idaho State Univ.); S. Schillereff, M. Harrigan (Memorial
University of Newfoundland); D. Van Everdingen, B. Sherwood (Univ. of Toronto)
M.S.: Idaho State University, total of 12 M.S. students and advisees since 1990;.Memorial
University of Newfoundland, total of 5 M.S. students and advisees, 1984-1990
SUMMARY
PROPOSAL BUDGET
YEAR
1
FOR NSF USE ONLY
PROPOSAL NO.
DURATION (months)
Proposed Granted
AWARD NO.
ORGANIZATION
Idaho State University
PRINCIPAL INVESTIGATOR / PROJECT DIRECTOR
Benjamin T Crosby
A. SENIOR PERSONNEL: PI/PD, Co-PI’s, Faculty and Other Senior Associates
(List each separately with title, A.7. show number in brackets)
NSF Funded
Person-months
CAL
ACAD
SUMR
1. Benjamin T Crosby - PI
0.00 0.00
2. Daniel P Ames - Co-PI
0.00 0.00
3. Nancy Glenn - Co-PI
0.00 0.00
4. John A Welhan - Co-PI
0.00 0.00
5.
6. ( 0 ) OTHERS (LIST INDIVIDUALLY ON BUDGET JUSTIFICATION PAGE)
0.00 0.00
7. ( 4 ) TOTAL SENIOR PERSONNEL (1 - 6)
0.00 0.00
B. OTHER PERSONNEL (SHOW NUMBERS IN BRACKETS)
1. ( 0 ) POST DOCTORAL SCHOLARS
0.00 0.00
2. ( 0 ) OTHER PROFESSIONALS (TECHNICIAN, PROGRAMMER, ETC.)
0.00 0.00
3. ( 0 ) GRADUATE STUDENTS
4. ( 0 ) UNDERGRADUATE STUDENTS
5. ( 0 ) SECRETARIAL - CLERICAL (IF CHARGED DIRECTLY)
6. ( 0 ) OTHER
TOTAL SALARIES AND WAGES (A + B)
C. FRINGE BENEFITS (IF CHARGED AS DIRECT COSTS)
TOTAL SALARIES, WAGES AND FRINGE BENEFITS (A + B + C)
D. EQUIPMENT (LIST ITEM AND DOLLAR AMOUNT FOR EACH ITEM EXCEEDING $5,000.)
Computer System Servers
$
Funds
granted by NSF
(if different)
0.00 $
0.00
0.00
0.00
0 $
0
0
0
0.00
0.00
0
0
0.00
0.00
0
0
0
0
0
0
0
0
0
13,624
TOTAL EQUIPMENT
E. TRAVEL
1. DOMESTIC (INCL. CANADA, MEXICO AND U.S. POSSESSIONS)
2. FOREIGN
F. PARTICIPANT SUPPORT COSTS
0
1. STIPENDS
$
0
2. TRAVEL
0
3. SUBSISTENCE
0
4. OTHER
TOTAL NUMBER OF PARTICIPANTS
(
0)
G. OTHER DIRECT COSTS
1. MATERIALS AND SUPPLIES
2. PUBLICATION COSTS/DOCUMENTATION/DISSEMINATION
3. CONSULTANT SERVICES
4. COMPUTER SERVICES
5. SUBAWARDS
6. OTHER
TOTAL OTHER DIRECT COSTS
H. TOTAL DIRECT COSTS (A THROUGH G)
I. INDIRECT COSTS (F&A)(SPECIFY RATE AND BASE)
Funds
Requested By
proposer
13,624
0
0
0
TOTAL PARTICIPANT COSTS
61,376
0
0
0
0
0
61,376
75,000
(Rate: , Base: )
TOTAL INDIRECT COSTS (F&A)
J. TOTAL DIRECT AND INDIRECT COSTS (H + I)
K. RESIDUAL FUNDS
L. AMOUNT OF THIS REQUEST (J) OR (J MINUS K)
M. COST SHARING PROPOSED LEVEL $
Not Shown
PI/PD NAME
Benjamin T Crosby
ORG. REP. NAME*
0
75,000
0
75,000 $
$
AGREED LEVEL IF DIFFERENT $
FOR NSF USE ONLY
INDIRECT COST RATE VERIFICATION
Date Checked
Date Of Rate Sheet
fm1030rs-07
Initials - ORG
Dianne horrocks
1 *ELECTRONIC SIGNATURES REQUIRED FOR REVISED BUDGET
SUMMARY
PROPOSAL BUDGET
Cumulative
FOR NSF USE ONLY
PROPOSAL NO.
DURATION (months)
Proposed Granted
AWARD NO.
ORGANIZATION
Idaho State University
PRINCIPAL INVESTIGATOR / PROJECT DIRECTOR
Benjamin T Crosby
A. SENIOR PERSONNEL: PI/PD, Co-PI’s, Faculty and Other Senior Associates
(List each separately with title, A.7. show number in brackets)
NSF Funded
Person-months
CAL
ACAD
SUMR
1. Benjamin T Crosby - PI
0.00 0.00
2. Daniel P Ames - Co-PI
0.00 0.00
3. Nancy Glenn - Co-PI
0.00 0.00
4. John A Welhan - Co-PI
0.00 0.00
5.
6. (
) OTHERS (LIST INDIVIDUALLY ON BUDGET JUSTIFICATION PAGE)
0.00 0.00
7. ( 4 ) TOTAL SENIOR PERSONNEL (1 - 6)
0.00 0.00
B. OTHER PERSONNEL (SHOW NUMBERS IN BRACKETS)
1. ( 0 ) POST DOCTORAL SCHOLARS
0.00 0.00
2. ( 0 ) OTHER PROFESSIONALS (TECHNICIAN, PROGRAMMER, ETC.)
0.00 0.00
3. ( 0 ) GRADUATE STUDENTS
4. ( 0 ) UNDERGRADUATE STUDENTS
5. ( 0 ) SECRETARIAL - CLERICAL (IF CHARGED DIRECTLY)
6. ( 0 ) OTHER
TOTAL SALARIES AND WAGES (A + B)
C. FRINGE BENEFITS (IF CHARGED AS DIRECT COSTS)
TOTAL SALARIES, WAGES AND FRINGE BENEFITS (A + B + C)
D. EQUIPMENT (LIST ITEM AND DOLLAR AMOUNT FOR EACH ITEM EXCEEDING $5,000.)
$
TOTAL INDIRECT COSTS (F&A)
J. TOTAL DIRECT AND INDIRECT COSTS (H + I)
K. RESIDUAL FUNDS
L. AMOUNT OF THIS REQUEST (J) OR (J MINUS K)
M. COST SHARING PROPOSED LEVEL $
Not Shown
PI/PD NAME
Benjamin T Crosby
ORG. REP. NAME*
Funds
granted by NSF
(if different)
0.00 $
0.00
0.00
0.00
0 $
0
0
0
0.00
0.00
0
0
0.00
0.00
0
0
0
0
0
0
0
0
0
13,624
TOTAL EQUIPMENT
E. TRAVEL
1. DOMESTIC (INCL. CANADA, MEXICO AND U.S. POSSESSIONS)
2. FOREIGN
F. PARTICIPANT SUPPORT COSTS
0
1. STIPENDS
$
0
2. TRAVEL
0
3. SUBSISTENCE
0
4. OTHER
TOTAL NUMBER OF PARTICIPANTS
(
0)
G. OTHER DIRECT COSTS
1. MATERIALS AND SUPPLIES
2. PUBLICATION COSTS/DOCUMENTATION/DISSEMINATION
3. CONSULTANT SERVICES
4. COMPUTER SERVICES
5. SUBAWARDS
6. OTHER
TOTAL OTHER DIRECT COSTS
H. TOTAL DIRECT COSTS (A THROUGH G)
I. INDIRECT COSTS (F&A)(SPECIFY RATE AND BASE)
Funds
Requested By
proposer
13,624
0
0
0
TOTAL PARTICIPANT COSTS
61,376
0
0
0
0
0
61,376
75,000
0
75,000
0
75,000 $
$
AGREED LEVEL IF DIFFERENT $
FOR NSF USE ONLY
INDIRECT COST RATE VERIFICATION
Date Checked
Date Of Rate Sheet
fm1030rs-07
Initials - ORG
Dianne horrocks
C *ELECTRONIC SIGNATURES REQUIRED FOR REVISED BUDGET
Budget Justification NSF EAR­IF: Upgrade of Digital Mapping Laboratory, Department of Geosciences, Idaho State University A) Senior Personnel – None B) Other Personnel – None C) Fringe – None D) Equipment ‐ $13,624 Two Dell Xenon X5450 Servers @ $6,812 each. Servers store, distribute and back up data for Digital Mapping Laboratory and affiliated faculty. Full justification is provided in the project description. Detailed specifications for these servers are provided in official bid ‐ see Supplementary Documents. E) Travel – None F) Participant Support Costs – None G) Other Direct Costs (Materials & Supplies) ‐ $61,376 Index
1
2
3
4
5
6
Item
Dell PWD T5400 Workstation
Dell Optiplex 960 Workstation
Uninterruptable Power Supply
Catalyst 3750 Distribution Switch
GE uplink transceivers & GBIC
Miscellaneous M&S
# Units
4
19
1
3
6
Unit Cost
3,549.88
1,595.68
719
4,534.48
Total Cost
14,199.52
30,317.92
719
13,603.43
2,413.96
122.67
Explanation for ‘Other Direct Costs’: (1,2) 4 Dell PWD T5400 Workstations and 19 Dell Optiplex 960 Workstations are requested to upgrade the Digital Mapping Lab capabilities. These research machines are networked to the server and to faculty machines. Full justification is provided in the project description. Detailed specifications for these workstations are provided in official bid ‐ see Supplementary Documents (3) Uninterruptable Power Supply ‐ This will support the continuity of the two servers and is a standard protection for high‐end computing equipment. (4) Three Catalyst distribution switches. ‐ These switches are required to upgrade the network to 1 Gb/s speed. One switch will connect the two servers and the other two switches will connect the workstations in the Digital Mapping Lab. (5) Six transceivers ‐ These items are required at each end of the 1Gb/s cable where it connects with the switches. Three switches that emanate from the buildings backbone cable thus require six transceivers. (6) Miscellaneous M&S – funds to cover extraneous costs associated with workstations and network upgrades. Current and Pending Support
(See GPG Section II.C.2.h for guidance on information to include on this form.)
The following information should be provided for each investigator and other senior personnel. Failure to provide this information may delay consideration of this proposal.
Other agencies (including NSF) to which this proposal has been/will be submitted.
Investigator: Benjamin Crosby
Support:
Current
Pending
Submission Planned in Near Future
*Transfer of Support
Project/Proposal Title: Hydrology of Big Creek
DeVlieg Foundation
Source of Support:
Total Award Amount: $
40,000 Total Award Period Covered: 01/01/08 - 12/31/09
Location of Project:
Idaho State University and surrounding areas
Person-Months Per Year Committed to the Project. Cal:0.00
Acad: 0.00 Sumr: 0.00
Support:
Current
Pending
Submission Planned in Near Future
*Transfer of Support
Project/Proposal Title: Spatial and Temporal Influenced of Themokarst Features on
Surface Processes in Arctic Landscapes
National Science Foundation
Source of Support:
Total Award Amount: $
251,570 Total Award Period Covered: 09/01/08 - 08/31/12
Location of Project:
Idaho State University and surrounding areas
Person-Months Per Year Committed to the Project. Cal:0.00
Acad: 0.00 Sumr: 1.00
Support:
Current
Pending
Submission Planned in Near Future
*Transfer of Support
Project/Proposal Title: NSF Idaho EPSCoR Research Infrastructure Improvement Grant -
Water Resources in a Changing Climate
NSF EPSCoR RII EPS-0814387
Source of Support:
Total Award Amount: $
539,174 Total Award Period Covered: 09/01/08 - 08/31/13
Location of Project:
Idaho State University and surrounding areas
Person-Months Per Year Committed to the Project. Cal:1.00
Acad: 0.00 Sumr: 1.00
Support:
Current
Pending
Submission Planned in Near Future
*Transfer of Support
Project/Proposal Title: INRA Water Resources Steering Committee
Inland Northwest Research Alliance (INRA)
Source of Support:
Total Award Amount: $
25,000 Total Award Period Covered: 09/01/08 - 12/31/09
Location of Project:
Idaho State University
Person-Months Per Year Committed to the Project. Cal:0.00
Acad: 0.00 Sumr: 0.50
Support:
Current
Pending
Submission Planned in Near Future
*Transfer of Support
Project/Proposal Title: Upgrade of Computing Equipment in the Digital Mapping
Laboratory, Idaho State University
National Science Foundation
Source of Support:
Total Award Amount: $
75,000 Total Award Period Covered: 07/01/09 - 06/30/10
Location of Project:
Idaho State University
Person-Months Per Year Committed to the Project. Cal:0.00
Acad: 0.00 Summ: 0.00
*If this project has previously been funded by another agency, please list and furnish information for immediately preceding funding period.
Page G-1
USE ADDITIONAL SHEETS AS NECESSARY
Current and Pending Support
(See GPG Section II.C.2.h for guidance on information to include on this form.)
The following information should be provided for each investigator and other senior personnel. Failure to provide this information may delay consideration of this proposal.
Other agencies (including NSF) to which this proposal has been/will be submitted.
Investigator: Benjamin Crosby
Support:
Current
Pending
Submission Planned in Near Future
*Transfer of Support
Project/Proposal Title: Tools for Monitoring Arctic River Processes and Fluxes
Inland Northwest Research Alliance (INRA)
Source of Support:
Total Award Amount: $
40,000 Total Award Period Covered: 01/01/09 - 05/03/10
Location of Project:
Idaho State University and surrounding areas
Person-Months Per Year Committed to the Project. Cal:0.00
Acad: 0.00 Sumr: 0.50
Support:
Current
Pending
Submission Planned in Near Future
*Transfer of Support
Project/Proposal Title: The Causes and Consequences of the Selawik Retrogressive
Thaw Slump, Northwest Alaska
US Fish and Wildlife Service
Source of Support:
Total Award Amount: $
150,000 Total Award Period Covered: 05/01/09 - 04/30/12
Location of Project:
Idaho State University and surrounding areas
Person-Months Per Year Committed to the Project. Cal:0.00
Acad: 0.00 Sumr: 0.00
Support:
Current
Pending
Submission Planned in Near Future
*Transfer of Support
Project/Proposal Title:
Source of Support:
Total Award Amount: $
Total Award Period Covered:
Location of Project:
Person-Months Per Year Committed to the Project. Cal:
Acad:
Support:
Current
Pending
Submission Planned in Near Future
Sumr:
*Transfer of Support
Project/Proposal Title:
Source of Support:
Total Award Amount: $
Total Award Period Covered:
Location of Project:
Person-Months Per Year Committed to the Project. Cal:
Acad:
Support:
Current
Pending
Submission Planned in Near Future
Sumr:
*Transfer of Support
Project/Proposal Title:
Source of Support:
Total Award Amount: $
Total Award Period Covered:
Location of Project:
Person-Months Per Year Committed to the Project. Cal:
Acad:
Summ:
*If this project has previously been funded by another agency, please list and furnish information for immediately preceding funding period.
Page G-2
USE ADDITIONAL SHEETS AS NECESSARY
Current and Pending Support
(See GPG Section II.C.2.h for guidance on information to include on this form.)
The following information should be provided for each investigator and other senior personnel. Failure to provide this information may delay consideration of this proposal.
Other agencies (including NSF) to which this proposal has been/will be submitted.
Investigator: Daniel Ames
Support:
Current
Pending
Submission Planned in Near Future
*Transfer of Support
Project/Proposal Title: Technical Support for BASINS and the Water Quality Standards
Program
Aqua Terra Consultants
Source of Support:
Total Award Amount: $
84,866 Total Award Period Covered: 03/05/08 - 03/31/11
Location of Project:
Idaho State University and surrounding areas
Person-Months Per Year Committed to the Project. Cal:0.00
Acad: 0.50 Sumr: 1.50
Support:
Current
Pending
Submission Planned in Near Future
*Transfer of Support
Project/Proposal Title: GIS Software Technical Support for DFIRM
Dewberry/FEMA
Source of Support:
Total Award Amount: $
80,111 Total Award Period Covered: 06/01/08 - 05/31/09
Location of Project:
Idaho State University and surrounding areas
Person-Months Per Year Committed to the Project. Cal:0.00
Acad: 0.50 Sumr: 1.50
Support:
Current
Pending
Submission Planned in Near Future
*Transfer of Support
Project/Proposal Title: Development of a GIS Based Fishing Support System
Strategic Fishing Systems
Source of Support:
Total Award Amount: $
20,000 Total Award Period Covered: 06/01/08 - 05/31/09
Location of Project:
Idaho State University and surrounding areas
Person-Months Per Year Committed to the Project. Cal:0.00
Acad: 0.00 Sumr: 0.00
Support:
Current
Pending
Submission Planned in Near Future
*Transfer of Support
Project/Proposal Title: NSF Idaho EPSCoR Research Infrastructure Improvement Grant
NSF EPSCoR RII EPS-0814387
Source of Support:
Total Award Amount: $
1,500 Total Award Period Covered: 09/01/08 - 08/31/09
Location of Project:
Idaho State University and surrounding areas
Person-Months Per Year Committed to the Project. Cal:0.00
Acad: 0.00 Sumr: 0.00
Support:
Current
Pending
Submission Planned in Near Future
*Transfer of Support
Project/Proposal Title: Idaho Water Resources Steering Committee
Inland Northwest Research Alliance (INRA)
Source of Support:
Total Award Amount: $
25,000 Total Award Period Covered: 09/01/08 - 12/31/09
Location of Project:
Idaho State University and surrounding areas
Person-Months Per Year Committed to the Project. Cal:0.00
Acad: 0.75 Summ: 0.00
*If this project has previously been funded by another agency, please list and furnish information for immediately preceding funding period.
Page G-3
USE ADDITIONAL SHEETS AS NECESSARY
Current and Pending Support
(See GPG Section II.C.2.h for guidance on information to include on this form.)
The following information should be provided for each investigator and other senior personnel. Failure to provide this information may delay consideration of this proposal.
Other agencies (including NSF) to which this proposal has been/will be submitted.
Investigator: Daniel Ames
Support:
Current
Pending
Submission Planned in Near Future
*Transfer of Support
Project/Proposal Title: Upgrade of Computing Equipment in the Digital Mapping
Laboratory, Idaho State University
National Science Foundation
Source of Support:
Total Award Amount: $
75,000 Total Award Period Covered: 07/01/09 - 06/30/10
Location of Project:
Idaho State University
Person-Months Per Year Committed to the Project. Cal:0.00
Acad: 0.00 Sumr: 0.00
Support:
Current
Pending
Submission Planned in Near Future
*Transfer of Support
Project/Proposal Title:
Source of Support:
Total Award Amount: $
Total Award Period Covered:
Location of Project:
Person-Months Per Year Committed to the Project. Cal:
Acad:
Support:
Current
Pending
Submission Planned in Near Future
Sumr:
*Transfer of Support
Project/Proposal Title:
Source of Support:
Total Award Amount: $
Total Award Period Covered:
Location of Project:
Person-Months Per Year Committed to the Project. Cal:
Acad:
Support:
Current
Pending
Submission Planned in Near Future
Sumr:
*Transfer of Support
Project/Proposal Title:
Source of Support:
Total Award Amount: $
Total Award Period Covered:
Location of Project:
Person-Months Per Year Committed to the Project. Cal:
Acad:
Support:
Current
Pending
Submission Planned in Near Future
Sumr:
*Transfer of Support
Project/Proposal Title:
Source of Support:
Total Award Amount: $
Total Award Period Covered:
Location of Project:
Person-Months Per Year Committed to the Project. Cal:
Acad:
Summ:
*If this project has previously been funded by another agency, please list and furnish information for immediately preceding funding period.
Page G-4
USE ADDITIONAL SHEETS AS NECESSARY
Current and Pending Support
(See GPG Section II.C.2.h for guidance on information to include on this form.)
The following information should be provided for each investigator and other senior personnel. Failure to provide this information may delay consideration of this proposal.
Other agencies (including NSF) to which this proposal has been/will be submitted.
Investigator: Nancy Glenn
Support:
Current
Pending
Submission Planned in Near Future
*Transfer of Support
Project/Proposal Title: Upgrade of Computing Equipment in the Digital Mapping
Laboratory, Idaho State University
National Science Foundation
Source of Support:
Total Award Amount: $
75,000 Total Award Period Covered: 07/01/09 - 06/30/10
Location of Project:
Idaho State University
Person-Months Per Year Committed to the Project. Cal:0.00
Acad: 0.00 Sumr: 0.00
Support:
Current
Pending
Submission Planned in Near Future
*Transfer of Support
Project/Proposal Title:
Source of Support:
Total Award Amount: $
Total Award Period Covered:
Location of Project:
Person-Months Per Year Committed to the Project. Cal:
Acad:
Support:
Current
Pending
Submission Planned in Near Future
Sumr:
*Transfer of Support
Project/Proposal Title:
Source of Support:
Total Award Amount: $
Total Award Period Covered:
Location of Project:
Person-Months Per Year Committed to the Project. Cal:
Acad:
Support:
Current
Pending
Submission Planned in Near Future
Sumr:
*Transfer of Support
Project/Proposal Title:
Source of Support:
Total Award Amount: $
Total Award Period Covered:
Location of Project:
Person-Months Per Year Committed to the Project. Cal:
Acad:
Support:
Current
Pending
Submission Planned in Near Future
Sumr:
*Transfer of Support
Project/Proposal Title:
Source of Support:
Total Award Amount: $
Total Award Period Covered:
Location of Project:
Person-Months Per Year Committed to the Project. Cal:
Acad:
Summ:
*If this project has previously been funded by another agency, please list and furnish information for immediately preceding funding period.
Page G-5
USE ADDITIONAL SHEETS AS NECESSARY
Current and Pending Support
(See GPG Section II.C.2.h for guidance on information to include on this form.)
The following information should be provided for each investigator and other senior personnel. Failure to provide this information may delay consideration of this proposal.
Other agencies (including NSF) to which this proposal has been/will be submitted.
Investigator: John Welhan
Support:
Current
Pending
Submission Planned in Near Future
*Transfer of Support
Project/Proposal Title: Evaluation of Septic Suitability With an Objective
Index-Based GIS Ranking Methodology
Idaho Department of Environmental Quality
Source of Support:
Total Award Amount: $
28,631 Total Award Period Covered: 01/01/09 - 02/28/10
Location of Project:
Idaho State University and surrounding areas
Person-Months Per Year Committed to the Project. Cal:0.00
Acad: 0.00 Sumr: 0.00
Support:
Current
Pending
Submission Planned in Near Future
*Transfer of Support
Project/Proposal Title: Upgrade of the Computing Equipment in the Digital Mapping
Laboratory, Idaho State University
National Science Foundation
Source of Support:
Total Award Amount: $
75,000 Total Award Period Covered: 07/01/09 - 06/30/10
Location of Project:
Idaho State University
Person-Months Per Year Committed to the Project. Cal:0.00
Acad: 0.00 Sumr: 0.00
Support:
Current
Pending
Submission Planned in Near Future
*Transfer of Support
Project/Proposal Title:
Source of Support:
Total Award Amount: $
Total Award Period Covered:
Location of Project:
Person-Months Per Year Committed to the Project. Cal:
Acad:
Support:
Current
Pending
Submission Planned in Near Future
Sumr:
*Transfer of Support
Project/Proposal Title:
Source of Support:
Total Award Amount: $
Total Award Period Covered:
Location of Project:
Person-Months Per Year Committed to the Project. Cal:
Acad:
Support:
Current
Pending
Submission Planned in Near Future
Sumr:
*Transfer of Support
Project/Proposal Title:
Source of Support:
Total Award Amount: $
Total Award Period Covered:
Location of Project:
Person-Months Per Year Committed to the Project. Cal:
Acad:
Summ:
*If this project has previously been funded by another agency, please list and furnish information for immediately preceding funding period.
Page G-6
USE ADDITIONAL SHEETS AS NECESSARY
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Department of Geosciences
College of Arts and Sciences
Campus Box 8072 * Pocatello, ID * 83209-8072 * (208) 282-3365 * Fax (208) 282-4414 * [email protected]
Letter of Support
Drs. Crosby, Glenn, Ames, and Welhan,
I write to indicate my strong support for the NSF EAR-IF proposal in which you request new
workstations, servers, and network upgrades for the ISU Department of Geosciences. The
department’s Digital Mapping Lab is the sole research computer facility on the Pocatello
campus. Keeping this lab equipped with state-of-the-art computing equipment is a critical step
in maintaining productivity amongst our faculty and graduate students. Currently, students and
faculty have access to only a handful of adequate workstations and sometimes stagger their work
schedules to gain access to them. Filling the DML with sufficient number of workstations will
eliminate the developing backlog. In addition, upgrading network connections to allow
instantaneous transfer between computers and server will markedly increase efficiency and
productivity. The DML capabilities that would result if this proposal succeeds will significantly
impact the type and amount of computationally intensive research we accomplish as a
department. It will help in retaining young faculty and help us to attract new faculty in the near
future. Given the impact this upgrade will have on our research faculty, graduate students, and
(through classroom instruction of research results) undergraduate students, I consider this
upgrade the most significant infrastructure improvement that could be made in the department.
I also write to say that the department is committed to doing its share to assist in the upgrade.
If this proposal is successful, we will commit to financing the ~$5,000 upgrade of the fiber optic
backbone cable to the Physical Sciences building, using funds from other sources than this grant.
This will benefit not only other network users in the Department of Geosciences but also two
other resident departments (Physics, Mathematics).
Sincerely,
David Rodgers
Professor and Chair
Department of Geosciences
Ben Nickell
1267 Fern Place, Pocatello, ID 83201; 208-317-4259
Email: [email protected]
Objective:
IT management position in which I can obtain personal growth, build a quality team, make a valuable
contribution to a dynamic organization.
Education:
Bachelors of Business Administration, Marketing, Idaho State University, May 1997. Concentrations
in Internet Marketing.
Post Graduate Certificate in Computer Information Systems, Idaho State University, May 2002.
Concentrations in information assurance and networking. Extensive coursework on the
implementation of information security concepts.
Completed coursework for the Post Graduate Certificate in Geographical Information Systems, December
2005. Concentrations in enterprise GIS systems, Remote Sensing, and databases.
Highlights:
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Able to manage multiple large scale projects and balance them with daily tasks.
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Specialize in aligning IT infrastructure with departmental goals to create competitive advantage.
Strong ability to manage technical staff due to the combination of technical background and
education and experience in business and finance.
Achieve consistent success in finishing projects on time and under budget.
Have instructed both groups and individuals on technical issues.
Skilled at advising executives on technical topics and their business impact.
Work Experience:
8/1998 – Present
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Systems Administrator
Idaho State University
Served as Technical Services Director and Systems and Security Architect.
Responsible for managing large scale IT projects and day to day operations for multiple departments
within the Physical Sciences at Idaho State University.
8+ years experience with systems administration on Linux and Windows.
Managed a team of 3-4 people to provide quality IT services with high uptimes on a limited budget.
Designed, built and maintain a heterogeneous network of 15 Unix/Linux servers and 300 client PC's
using Windows, UNIX, Linux, and Macintosh operating systems.
Responsible for email, web and file servers, remote access, and backups.
Familiar with all aspects of TCP/IP networking including firewalls and many security and forensics
tools.
Attended and participated in many IT conferences, workshops, and competitions in the fields of IT
in education and security.
1996-1998
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Web Developer
Idaho State University Department of Physics
Developed Interactive web sites and distance learning solutions for the Physics Department and the
Idaho Virtual Campus.
1992-Present Winter Sports School Supervisor
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Pebble Creek Ski Area
AASI Certified Level II Ski and Snowboard Instructor.
Lead trainer for snowboard instructors, taught weekly clinics.
Managed a staff of 25 instructors to provide quality lesson programs for up to 200 guests per day.
Worked with management to build clientele and increase guest satisfaction.
Independent Work Experience:
1997-Present
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Owner
Lighthouse Consulting, Pocatello, Idaho
Provide hardware and software support services on servers and Macintosh, OS2, Unix, Linux, and
Windows platforms for individuals and businesses in Pocatello and surrounding communities.
Provided support for servers for local banks and businesses.
Clients include the United States Senate, Key Bank, Washington Mutual, Wells Fargo, US Bank, and
Piper Jaffrey as well as individuals and small businesses.
Volunteer Service:
2002-2004
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Pocatello Community Charter School
Served a two-year term on the Governing Board, including 15 months as chair and the legal
representative of 200 student K-8 Charter School.
Started process of financing and real estate development that led to building of a new school that
opened in December 2005.
Developed and implemented training and evaluation programs for governing board.
Organized and led strategic planning sessions to determine organizational priorities and goals.
Formalized many processes and policies to ensure legal compliance.
1999-2006
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Chair, Governing Board
Chair, Technology Committee Pocatello Community Charter School
Led a team of volunteers and coordinated volunteer activities.
Served as testing coordinator.
Maintained all servers and Client PC's for K-8 charter School.
Designed and implemented networks, email services, and webpage.
Hobbies and Interests:
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Enjoy outdoor activities particularly skiing, snowboarding, hiking, and cycling.
Participate in the NASA RISE high altitude ballooning programs. Part of a team that engineers
power, communications, hardware, software systems, sensors, and scientific experiments for extreme
environments in near space. Provide outreach to K-12 and higher education.
Diana Lynn Boyack
Research Associate, Computer/Technology Specialist, Department of Geosciences, Idaho State University
Pocatello, Idaho 83209-8072, 208-282-3137 [email protected]
EDUCATION
Bachelor of Arts in Geology with High Honors, IDAHO STATE UNIVERSITY, 1990-1999.
Graduate Credits, IDAHO STATE UNIVERSITY, 2000-2007.
EMPLOYMENT
Computer Laboratory Specialist, Department of Geosciences, Idaho State University, Pocatello, ID,
1998-present. – GIS/computer specialist: digitize geologic maps (Kuntz 50k, Lava Hot Springs, Bonneville Peak,
Inkom, Howe Point, Circular Butte, etc.), web design and maintenance (Digital Geology of Idaho, BCAL, Digital
Atlas of Idaho, Planetary Geology, etc.), support faculty, students, staff with computer software and hardware,
teaching assistant for Remote Sensing and Earth in Space and Time, knowledge of UNIX .
GIS Internship, Bureau of Land Management, Pocatello, ID 1999. – Reviewed maps in paper and Mylar to
create database catalog for management, and to create a GIS for visual query of said maps for southeast Idaho.
PUBLICATIONS AND PRESENTATIONS
Straub, Kristen M., Link, Paul K., and Boyack, Diana, 2007, Combining Lecture, Lab, and Webcourse
Class Formats in a Regional Geology Course: The Digital Geology of Idaho. Geological Society of
America Abstracts with Programs, Vol 40.
Tapanila, Lori, Link, Paul K., and Boyack, Diana. 2006, Digital Geology of Idaho: Documenting
successful Student Learning in Freshman Geology Labs, Geological Society of America Abstracts
with Programs, Vol. 38, No. 7, p. 498.
Boyack, D., Link, P. K., DeGrey, L., Ames, D., Khan, S. D., 2005. Teaching Idaho Geology on the web
with GIS visualizations. Geological Society of America Abstracts with Programs, Vol. 37, No. 77.
Boyack, Diana, Link, Paul, DeGrey, Laura, Ames, D.P., 2005, Digital Geology of Idaho: Web-Based
Teaching using GIS Software for Visualizations. North West Section Meeting, National Association
of Geoscience Teachers.
Link, Paul K., Khan, Shuhab D., De Grey, Laura D., Boyack, Diana L., and Ames, D., P. 2005, Digital
Geology of Idaho: New web-based teaching tool. Geological Society of America Abstracts with
Programs, Vol. 37, No. 4.
Singh, Nagendra, Khan, Shuhab, Link, Paul, Boyack, Diana, and Glenn, Nancy F., 2004. Visualizing and
Teaching the Geology of the Boise Area Using the Digital Atlas of Idaho. Geological Society of
America Abstracts with Programs, Vol. 36, No. 4., p. 88.
Kuntz, Mel A., Geslin, J.K., Mark, L.E., Hodges, M.K.., Kauffman, M.E, Champion, D.E., Lanphere,
M.R., Rodgers, D.W., Anders, M.H., Link, P.K., and Boyack, D.L., 2003. Geoogic Map of the
Northern and Central Parts of the Idaho National Engineering and Environmental Laboratory, Eastern
Idaho, Idaho Geological Survey, Map #35.
Link, P.K., Winston, D. and Boyack, D., 2003. Stratigraphy of the Mesoproterozoic Belt Supergroup,
Salmon River Mountains, Lemhi County, Idaho; in Northwest Geology, v.32: 2003 Tobacco Root
Geological Society Field Conference at the Belt SymposiumIV, Missoula, MT and Salmon, ID,
August 7 – 12, 2003, pages 107 – 118, Lageson, D.R. and Christner, R.B., Editors, Montana State
University, Bozeman, Montana.
Harvey, Jacqueline, Boyack, Diana, Taube, Vita, and Hughes, Scott S., 2000, Idaho Virtual Campus Using the internet to discover new techniques in science education: Geological Society of America
Abstracts with Programs, v. 32.