Estimation of annual harvested wood products based on remote sensing and TPO survey data
Author:
Affiliation:
1. Department of Geographical Sciences, University of Maryland, College Park, USA
2. MAXAR Technologies, Gaithersburg, USA
3. S&P Global Sustainable1, Washington, DC, USA
Funder
National Aeronautics and Space Administration
Pie-Australia
the Laboratory of Environmental Model and Data Optima
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/10095020.2024.2313329
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1. Data Gaps for Monitoring Forest Carbon in the United States: An Inventory Perspective
2. Bagging predictors
3. Lessons learned implementing an operational continuous United States national land change monitoring capability: The Land Change Monitoring, Assessment, and Projection (LCMAP) approach
4. Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors
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