Evaluating statewide NAIP photogrammetric point clouds for operational improvement of forest inventory estimates in the southeastern U.S.

Todd A. Schroeder; Shingo Obata; Monica Papeş; Benjamin Branoff

doi:10.3390/rs14174386

Treesearch

Evaluating statewide NAIP photogrammetric point clouds for operational improvement of forest inventory estimates in the southeastern U.S.

Formally Refereed

Authors:

Todd A. Schroeder, Shingo Obata, Monica Papeş, Benjamin Branoff

Year:

2022

Type:

Scientific Journal

Station:

Southern Research Station

DOI:

https://doi.org/10.3390/rs14174386

Source:

Journal

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Download (PDF 4.05 MB): https://research.fs.usda.gov/download/treesearch/66768.pdf

Keywords

Digital Aerial Photogrammetry (DAP), Forest Inventory and Analysis (FIA), National Forest Inventory (NFI), design-based estimation, post-stratification, Canopy Height Model (CHM), forest volume

Citation

Schroeder, T.A., Obata, S., Papeş, M., and Branoff, B. 2022. Evaluating statewide NAIP photogrammetric point clouds for operational improvement of forest inventory estimates in the southeastern U.S. Remote Sensing. 14:4386. doi:10.3390/rs14174386.