Detecting changes in forest condition at landscape scales using a Landsat-based harmonic modeling approach

Valerie J. Pasquarella; Randall Morin; Andrew M. Liebhold; Nathan W. Siegert; Clare A. Rodenberg; Kyle J. Haynes

doi:10.2737/SRS-GTR-273-Chap9

Treesearch

Detecting changes in forest condition at landscape scales using a Landsat-based harmonic modeling approach

Formally Refereed

Authors:

Valerie J. Pasquarella, Randall Morin, Andrew M. Liebhold, Nathan W. Siegert, Clare A. Rodenberg, Kyle J. Haynes

Year:

2023

Type:

Book Chapter

Station:

Southern Research Station

DOI:

https://doi.org/10.2737/SRS-GTR-273-Chap9

Download (PDF 2.04 MB)

Download (PDF 2.04 MB): https://research.fs.usda.gov/download/treesearch/66980.pdf

Parent Publication

Forest Health Monitoring: National Status, Trends and Analysis, 2022

Citation

Pasquarella, Valerie J.; Morin, Randall S.; Liebhold, Andrew M.; Siegert, Nathan W.; Rodenberg, Clare A.; Haynes, Kyle J. 2023. Detecting changes in forest condition at landscape scales using a Landsat-based harmonic modeling approach. In: Potter, Kevin M.; Conkling, Barbara L., eds. Forest Health Monitoring: national status, trends, and analysis 2022. Gen. Tech. Rep. SRS-273. Asheville, NC: U.S. Department of Agriculture, Forest Service, Southern Research Station: 149–162. Chapter 9. https://doi.org/10.2737/SRS-GTR-273-Chap9.