Skip to Main Content
Optical remote sensing for forest area estimationAuthor(s): Randolph H. Wynne; Richard G. Oderwald; Gregory A. Reams; John A. Scrivani
Source: Journal of Forestry. 98(5): 31-36.
Publication Series: Miscellaneous Publication
PDF: View PDF (1.5 MB)
DescriptionThe air photo dot-count method is now widely and successfully used for estimating operational forest area in the USDA Forest Inventory and Analysis (FIA) program. Possible alternatives that would provide for more frequent updates, spectral change detection, and maps of forest area include the AVHRR calibration center technique and various Landsat TM classification algorithms. Should a switch from proven technology be advised, our general recommendation is to conduct several pilot studies that would focus on developing or refining tools and methodologies to allow objective, repeatable, and accurate forest areas estimation using multispectral earth resource satellite data.
- You may send email to firstname.lastname@example.org to request a hard copy of this publication.
- (Please specify exactly which publication you are requesting and your mailing address.)
- We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
- This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.
CitationWynne, Randolph H.; Oderwald, Richard G.; Reams, Gregory A.; Scrivani, John A. 2000. Optical remote sensing for forest area estimation. Journal of Forestry. 98(5): 31-36.
- Climate change and California: potential implications for vegetation, carbon, and fire.
- Identifying grain-size dependent errors on global forest area estimates and carbon studies
- Estimation for inaccessbile and non-sampled forest areas using model-based inference and remotely sense auxiliary information.
XML: View XML