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Forest Inventory and Analysis USDA Forest Service PNW Research Station Remote sensing; The world...
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Transcript of Forest Inventory and Analysis USDA Forest Service PNW Research Station Remote sensing; The world...
Forest Inventory and AnalysisUSDA Forest Service PNW Research Station
Remote sensing;
The world beyond aerial photos
Forest Inventory and AnalysisUSDA Forest Service PNW Research Station
In the beginning:Invention
New applications from large to small proliferateSmall: LiDAR for Harvest unit profiles 1990’sLarge: National mapping and estimation tools for carbon
Forest Inventory and AnalysisUSDA Forest Service PNW Research Station
North American Forest Dynamics (NAFD) mapping forest disturbance and cause
Monitoring, Reporting, and Verification (MRV) accounting system current and historic baseline carbon stocks and trends
Landscape Change Monitoring System (LCMS) land use and land cover change mapping
National Land Cover Dataset (NLCD) – Tree Canopy Cover this 30 meter nationwide (CONUS) map depicts tree canopy
cover in 2011. Image-based Change Estimation (ICE)
land use and land cover change information
National Assessments Monitoring Change, Carbon Assessments, land use, land cover
Forest Inventory and AnalysisUSDA Forest Service PNW Research Station
Small Scale applications
LiDAR individual tree species classification
Brown: Hardwood
Green: Conifer
Forest Inventory and AnalysisUSDA Forest Service PNW Research Station
ValidationConsolidationApplicationsIntegration
What is next?
Forest Inventory and AnalysisUSDA Forest Service PNW Research Station
Validation
USFS (Cohen – PI, Andersen, Healey, Moisen, Schroeder, Woodall, Domke), OSU (Yang), SUNY (Stehman), BU (Kennedy, Woodcock, Zhu), USGS (Vogelmann, Steinwand), UMD (Huang)
Uncertainty Analyses: Compare biomass estimates and precision from different frameworks and input datasets• 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
Forest Inventory and AnalysisUSDA Forest Service PNW Research Station
FROM: Purpose
Purpose
Consolidation
ProcessData
Product 2
Process
Data
Product 1Product 2
PurposePurpose
TO:
ProcessData
Product 1
Forest Inventory and AnalysisUSDA Forest Service PNW Research Station
Accurate plot locations are critical for matching high-res remote sensing & field data
• 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
Courtesy: Ray Koleser
Acquiring accurate FIA plot locations using survey-grade GPS receiver on Kenai Peninsula
(August, 2008)
Application2014 Tanana Pilot: High-accuracy GPS
Forest Inventory and AnalysisUSDA Forest Service PNW Research Station
Integration
Forest Inventory and AnalysisUSDA Forest Service PNW Research Station