DocumentCode
1522526
Title
Invertible canopy reflectance modeling of vegetation structure in semiarid woodland
Author
Franklin, Janet ; Strahler, Alan H.
Author_Institution
Dept. of Geogr., California Univ., Santa Barbara, CA, USA
Volume
26
Issue
6
fYear
1988
fDate
11/1/1988 12:00:00 AM
Firstpage
809
Lastpage
825
Abstract
The Li-Strahler canopy reflectance model, driven by Landsat Thematic Mapper (TM) data, provided regional estimates of tree size and density in two bioclimatic zones in West Africa. This model exploits tree geometry in an inversion technique to predict average tree size and density from reflectance data using a few simple parameters measured in the field (spatial pattern, shape, and size distribution of trees) and in the imagery (spectral signatures of scene components). The model was tested in sparse woodland and wooded grassland in the Sahelian and Sudanian bioclimatic zones in West Africa
Keywords
forestry; geophysical techniques; remote sensing; Li-Strahler canopy reflectance model; Sahel; Sudan; West Africa; forest; inversion technique; invertible canopy reflectance model; land surface remote sensing; light reflectivity; multispectral; optical range; semiarid woodland; thermatic mapping; tree density; tree size; vegetation structure; Africa; Density measurement; Geometry; Predictive models; Reflectivity; Remote sensing; Satellites; Shape measurement; Solid modeling; Vegetation mapping;
fLanguage
English
Journal_Title
Geoscience and Remote Sensing, IEEE Transactions on
Publisher
ieee
ISSN
0196-2892
Type
jour
DOI
10.1109/36.7712
Filename
7712
Link To Document