Transcript CMS

Remote sensing;
The world beyond aerial photos
USDA Forest Service PNW Research Station
Forest Inventory and Analysis
In the beginning:
Invention
New applications from large to small proliferate
Small: LiDAR for Harvest unit profiles 1990’s
Large: National mapping and estimation tools for carbon
USDA Forest Service PNW Research Station
Forest Inventory and Analysis
National Assessments
Monitoring Change, Carbon Assessments, land use,
land cover
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North American Forest Dynamics (NAFD)
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mapping forest disturbance and cause
Monitoring, Reporting, and Verification (MRV) accounting system
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current and historic baseline carbon stocks and trends
Landscape Change Monitoring System (LCMS)
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land use and land cover change mapping
National Land Cover Dataset (NLCD) – Tree Canopy Cover
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this 30 meter nationwide (CONUS) map depicts tree canopy
cover in 2011.
Image-based Change Estimation (ICE)
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land use and land cover change information
USDA Forest Service PNW Research Station
Forest Inventory and Analysis
Small Scale applications
LiDAR individual
tree species
classification
Brown: Hardwood
Green: Conifer
USDA Forest Service PNW Research Station
Forest Inventory and Analysis
What is next?
Validation
Consolidation
Applications
Integration
USDA Forest Service PNW Research Station
Forest Inventory and Analysis
Validation
Uncertainty Analyses: Compare biomass estimates
and precision from different frameworks and input
datasets
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Design-based with (1) inventory plots alone (current US NGHGI), (2) plots and
LiDAR, and (3) plots, LiDAR, and Landsat
Model-based with (4) plots and Landsat, and (5) plots, LiDAR, and Landsat
(6) Current v. (7) high-precision georeferenced plot locations
USFS (Cohen – PI, Andersen, Healey, Moisen, Schroeder, Woodall, Domke), OSU (Yang), SUNY (Stehman),
BU (Kennedy, Woodcock, Zhu), USGS (Vogelmann, Steinwand), UMD (Huang)
USDA Forest Service PNW Research Station
Forest Inventory and Analysis
Consolidation
FROM:
 Purpose
 Process
Product 1
Data
 Purpose
 Process
Data
TO:
 Process
Data
USDA Forest Service PNW Research Station
Product 2
Purpose
Purpose
Product 1
Product 2
Forest Inventory and Analysis
Application
2014 Tanana Pilot: High-accuracy GPS
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Accurate plot locations are critical for
matching high-res remote sensing &
field data
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In 2-phase sampling designs, error in
plot locations directly influences the
precision of parameter estimates
Dual-frequency GPS+GLONASS
receivers can acquire coordinates with
< 1 m error in all boreal forest
conditions
USDA Forest Service PNW Research Station
Acquiring accurate FIA plot locations using
survey-grade GPS receiver on Kenai Peninsula
(August, 2008)
Courtesy: Ray Koleser
Forest Inventory and Analysis
Integration
USDA Forest Service PNW Research Station
Forest Inventory and Analysis
USDA Forest Service PNW Research Station
Forest Inventory and Analysis