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Forest Inventory and Analysis USDA Forest Service PNW Research Station Remote sensing; The world beyond aerial photos.

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Presentation on theme: "Forest Inventory and Analysis USDA Forest Service PNW Research Station Remote sensing; The world beyond aerial photos."— Presentation transcript:

1 Forest Inventory and Analysis USDA Forest Service PNW Research Station Remote sensing; The world beyond aerial photos

2 Forest Inventory and Analysis USDA Forest Service PNW Research Station 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

3 Forest Inventory and Analysis USDA Forest Service PNW Research Station  North American Forest Dynamics (NAFD) mapping forest disturbance and cause mapping forest disturbance and cause  Monitoring, Reporting, and Verification (MRV) accounting system current and historic baseline carbon stocks and trends current and historic baseline carbon stocks and trends  Landscape Change Monitoring System (LCMS) land use and land cover change mapping 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. this 30 meter nationwide (CONUS) map depicts tree canopy cover in 2011.  Image-based Change Estimation (ICE) land use and land cover change information land use and land cover change information National Assessments Monitoring Change, Carbon Assessments, land use, land cover

4 Forest Inventory and Analysis USDA Forest Service PNW Research Station Small Scale applications LiDAR individual tree species classification Brown: Hardwood Green: Conifer

5 Forest Inventory and Analysis USDA Forest Service PNW Research Station  Validation  Consolidation  Applications  Integration What is next?

6 Forest Inventory and Analysis USDA 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

7 Forest Inventory and Analysis USDA Forest Service PNW Research Station FROM:  Purpose Consolidation  Process Data Product 2  Process Data Data Product 1 Product 2 Purpose Purpose TO:  Process Data Product 1

8 Forest Inventory and Analysis USDA 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 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 Courtesy: Ray Koleser Acquiring accurate FIA plot locations using survey-grade GPS receiver on Kenai Peninsula (August, 2008) Application 2014 Tanana Pilot: High-accuracy GPS

9 Forest Inventory and Analysis USDA Forest Service PNW Research Station Integration

10 Forest Inventory and Analysis USDA Forest Service PNW Research Station

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