Land Cover Classification Using Landsat TM Imagery in the Tropical Highlands: The Influence of Anisotropic Reflectance

ASU Author/Contributor (non-ASU co-authors, if there are any, appear on document)
Jeff Colby Ph.D, Professor (Creator)
Institution
Appalachian State University (ASU )
Web Site: https://library.appstate.edu/

Abstract: Despite the tremendous attention given to conservation projects inthe Neotropics, few published studies have documented remote sensing studiesin tropical highland areas. Even fewer publications have addressed the use oftopographic normalization methods in these regions. This article discusses theinfluence of anisotropic reflectance patterns on land cover classification for twostudy areas characterized by very rugged terrain and high relief. Landsat ThematicMapper subscenes for sites in both Costa Rica and Ecuador were corrected usingboth Lambertian and non-Lambertian models. While use of the Lambertianmodel proved inappropriate for these mountainous areas, application of thenon-Lambertian model enhanced classification accuracies.

Additional Information

Publication
Colby, J.D., and Keating, P.L. (1998). Land Cover Classification Using Landsat TM Imagery in the Tropical Highlands: The Influence of Anisotropic Reflectance. International Journal of Remote Sensing, 19(8):1479-1500. (May 20, 1998) Published by Taylor & Francis (ISSN: 1366-590). DOI: 10.1080/014311698215306
Language: English
Date: 1998

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