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Proceedings Paper

A new approach for estimating the vegetation fraction in mountainous area
Author(s): Yan Yang; Qingjiu Tian; Liang Xu
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Paper Abstract

Vegetation fraction is an input parameter to some vegetation modes for analysis. Based on the analysis on the methods of measuring forest fraction, an improved method was developed to estimate vegetation fraction from a complex vegetation index PI, which multiply Advanced Vegetation Index (AVI) by shadow index (SI), derived from Landsat TM image. In the mountainous areas, the hill can make the sunlit and shadow of the hill different though they are same value in the plane. Through compare the PI before topographic correction to the PI after topographic correction, we find that this complex vegetation index can make up the topographic affect, so it can be better for estimating vegetation fraction in mountainous areas. In the paper, the vegetation fraction data have been estimate using the improved method in the study area, which most terrain features are mountains in Liping county of Guizhou province, and been validated by survey data. The result shows that the new method can reduce the affect of the shadow of mountain and can better estimate the vegetation fraction, especially in the mountainous areas.

Paper Details

Date Published: 26 July 2007
PDF: 9 pages
Proc. SPIE 6752, Geoinformatics 2007: Remotely Sensed Data and Information, 67521I (26 July 2007); doi: 10.1117/12.760492
Show Author Affiliations
Yan Yang, Nanjing Univ. (China)
Qingjiu Tian, Nanjing Univ. (China)
Liang Xu, State Oceanic Administration (China)

Published in SPIE Proceedings Vol. 6752:
Geoinformatics 2007: Remotely Sensed Data and Information
Weimin Ju; Shuhe Zhao, Editor(s)

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