Integrating Radio-Frequency Identification
(RFID) and Geomatics for Modeling and
Monitoring Forest Dynamics
Nathaniel C. Bantayan, PhD
Professor and Director
Makiling Center for Mountain Ecosystems UPLB
www.mountmakiling.org
Precision Agriculture
synonymous with
Conservation Agriculture
RFI
D
compu
ters
Data
bases
Space
Techno
logy
Smart
Phone
Internet
GIS
Wireless
Technolo
gy
Geoma
tics
Radio
TV
GPS
Remote
Sensing
Sustainable Agriculture
Precision Forestry
synonymous with
Conservation Forestry
RFI
D
compu
ters
Data
bases
Space
Techno
logy
Smart
Phone
Internet
GIS
Wireless
Technolo
gy
Geoma
tics
Radio
TV
GPS
Remote
Sensing
Sustainable Forestry
Presentation Outline
• INTRODUCTION
RFID Technology
• Geomatics
•
• RFID Applications in Forestry
•
RFID-assisted data collection
• Mt Makiling PERMANENT
LONG-TERM
ECOLOGICAL RESEARCH PLOTS
•
Geolocation of trees
• PROPOSED
RFID-enabled SYSTEM FOR
MODELING CLIMATE CHANGE IMPACTS ON THE
FOREST
RFID Technology Applications
Source: www.rfidjournal.com
Source: Timpe, 2006
RFID Tag
(with string, ring, label)
RFID Reader
Communication
(computer hardware/software)
(Bantayan, 2015)
• Automatic tracking, credit/debit cards, anti-theft,
employee ID; assets location; inventory systems;
library systems, logistics data processing; supply
chain information systems; mass transit; toll
collection system, etc.
RFID Technology Applications
Source: www.rfidjournal.com
Source: Timpe, 2006
RFID Tag
RFID Reader
(with string, ring, label)
Communication
(computer hardware/software)
(Bantayan, 2015)
Four common benefits:
• replacement of labor through automation, cycle time
reduction, enabling self- service, and loss prevention (Ferrer,
et al., 2010)
• Increased productivity by 20% and reduced cost by 10%
(Oghazi, 2013)
RFID in Forestry
TU Munich Germany : RFID-enabled
harvester
Germany : RFID-based log tracking
system
FOREST
Harvester
FELLING
AREA
Forwarder
LOG
LANDING
Truck
(Jung TW et al, 2009)
SAW
MILL
Wood supply chain (after Timpe, 2005)
(Wessel, 2006)
Korea : tested the reading capacity
between a clear and rainy day
Univ Washington USA : Tree Tour
(Timpe, 2006)
Mt Makiling Forest Reserve MMFR ASEAN Heritage Park
• As outdoor laboratory for forestry /
environmental education
• Demonstration site for technologies
on tropical forest science
• As a setting for floristic / faunal
studies in ASEAN and elsewhere
• As a venue for studies on the role of
forests in climate change
mitigation/adaptation, DRRM,
among others
8
Mt Makiling Forest Reserve MMFR ASEAN Heritage Park
We use
geomatics
Tigbi Plot
• Primary
forest
• ca. 600
masl
Sipit Plot
• Mossy
forest
• ca. 900
masl
Measure. . . Map . . . Monitor . . . Every Tree
MolawinDampalit Plot
• Secondary
forest
• ca. 400 masl
Cambantoc Plot
• Agroforest
• ca. 500 masl
Mt Makiling Forest Reserve MMFR ASEAN Heritage Park
Molawin-Dampalit 2-ha
Long-Term Plot
• 57 families
• 145 tree species
• 1315 trees (>10cm
DBH)
• Shannon Diversity
Index (SDI) is 3.57
which indicates high
species richness and
evenness
Mt Makiling Forest Reserve MMFR ASEAN Heritage Park
Systematic and
periodic
monitoring
provide insights
into the impact of
climate change
(eg. extreme
rainfall) on forests
(Bantayan, et al., 2014)
Mt Makiling Forest Reserve MMFR ASEAN Heritage Park
Systematic and
periodic
monitoring help
identify resilient
and vulnerable
species
Damage Assessment:
• 5% damage to trees
• Damage concentrated
on ridges
• Vulnerable species:
Diplodiscus paniculatus
and Microcos stylocarpa
BEFORE Super Typhoon GLENDA (RAMMASUN)
AFTER Super Typhoon GLENDA (RAMMASUN)
(Castillo, et al., 2015)
Mt Makiling Forest Reserve MMFR ASEAN Heritage Park
Given the amount of data that we
already have, we propose to
automate the assessment and
monitoring process by installing an
RFID system
Putra Jaya, Malaysia
operationalizes an RFIDbased urban forestry
management system
Will be installed to the forest
of FRIM (Forest Research
Institute of Malaysia)
They’re already doing it in Malaysia
Mt Makiling Forest Reserve MMFR ASEAN Heritage Park
The Mt Makiling RFID-enabled system
will provide the following benefits:
• Reduce time for
assessment and
monitoring
• Facilitate processing
and modeling
• Increase efficiency by
installing an
information system
• Decrease human error
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Acknowledgments