New vegetation index for extracting vegetation information from ALOS image

doi:10.6046/gtzyyg.2013.04.08

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Abstract

In view of the phenomenon that the existing vegetation indexes are not suitable for vegetation extraction of ALOS image, this paper, starting with an analysis of the spectral characteristics of the vegetation, puts forward a new vegetation index(vegetation sample-based vegetation index,VSVI) based on the analysis of vegetation samples and proves that this vegetation index is only associated with the spectral information of vegetation but not related to the soil background, thus having a certain capability of eliminating the soil background image with mathematical derivation. The vegetation of ALOS image is extracted by the vegetation index with the method of threshold segmentation and compared with the vegetation indexes(DVI, RVI, NDVI and SAVI). The results show that the vegetation index is capable of overcoming the shortcomings of other vegetation indexes, and the vegetation extraction accuracy can be raised by 21.7%, 27.5%, 14% and 9.5% respectively.

Keywords Pearl River Delta remote sensing survey coastline evolution analysis

TP75

Issue Date: 21 October 2013

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	ZHU Junfeng
	WANG Gengming
	ZHANG Jinlan
	HUANG Tielan

Cite this article:

ZHU Junfeng,WANG Gengming,ZHANG Jinlan, et al. New vegetation index for extracting vegetation information from ALOS image[J]. REMOTE SENSING FOR LAND & RESOURCES, 2013, 25(4): 48-52.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2013.04.08 OR https://www.gtzyyg.com/EN/Y2013/V25/I4/48

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