A new approach for estimating the vegetation fraction in mountainous area

Yan Yang; Qingjiu Tian; Liang Xu

doi:10.1117/12.760492

26 July 2007 A new approach for estimating the vegetation fraction in mountainous area

Yan Yang, Qingjiu Tian, Liang Xu

Proceedings Volume 6752, Geoinformatics 2007: Remotely Sensed Data and Information; 67521I (2007) https://doi.org/10.1117/12.760492
Event: Geoinformatics 2007, 2007, Nanjing, China

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.

Citation Download Citation

Yan Yang, Qingjiu Tian, and Liang Xu "A new approach for estimating the vegetation fraction in mountainous area", Proc. SPIE 6752, Geoinformatics 2007: Remotely Sensed Data and Information, 67521I (26 July 2007); https://doi.org/10.1117/12.760492

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KEYWORDS

Vegetation

Bismuth

Earth observing sensors

Near infrared

Remote sensing

Data centers

Landsat

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