DocumentCode :
1376185
Title :
Inversion of the Li-Strahler canopy reflectance model for mapping forest structure
Author :
Woodcock, Curtis E. ; Collins, John B. ; Jakabhazy, Vida D. ; Li, Xiaowen ; Macomber, Scott A. ; Wu, Yecheng
Author_Institution :
Dept. of Geogr., Boston Univ., MA, USA
Volume :
35
Issue :
2
fYear :
1997
fDate :
3/1/1997 12:00:00 AM
Firstpage :
405
Lastpage :
414
Abstract :
As part of a larger forest vegetation mapping process based on Landsat TM and digital terrain data, inversion of the Li-Strahler model provides estimates of tree size and cover for conifer stands. The vegetation maps are intended for use in natural resource management by the US Forest Service. Analysis of extensive field data in the form of “test” stands from four National Forests indicate the following about the Li-Strahler model: (1) the underlying assumptions of independence between tree size and crown shape are valid, (2) the means for tree geometry parameters vary between forest types, (3) estimates of forest cover are reliable, and (4) estimates of tree size are unreliable due to the breakdown in the relationship between image intra-stand variance and tree size. Improvements in estimates of tree size will require additional data beyond a single Landsat TM image, with multidirectional data a promising possibility
Keywords :
forestry; geophysical techniques; remote sensing; Landsat TM; Li-Strahler canopy reflectance model; Li-Strahler model; canopy; conifer stand; crown shape; forest; forest structure; forestry; geophysical measurement technique; inversion; optical imaging; remote sensing; tree size; vegetation mapping; Analysis of variance; Image analysis; Reflectivity; Remote sensing; Resource management; Satellites; Shape; Solid modeling; Terrain mapping; Vegetation mapping;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/36.563279
Filename :
563279
Link To Document :
بازگشت