ADVANCES IN RESEARCHES ON APPLICATION OF REMOTE SENSING METHOD TO ESTIMATING VEGETATION COVERAGE

doi:10.6046/gtzyyg.2008.01.02

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Abstract

Vegetation coverage is a very important ecological environment parameter, and remote sensing imagery can

provide the vegetation coverage information and variation trend on different spatial scales. Remote sensing is an

important means in obtaining vegetation coverage, and vegetation indices are indirect indices which can reflect

vegetation cover and biomass. The methods for estimating vegetation coverage based on vegetation indices include

experiential models, vegetation indices, pixel unmixing analysis and FCD (forest canopy density) mapping model, and

the methods for estimating vegetation coverage based on decision tree classification and artificial neural network

have made some progress as well. This paper has analyzed and discussed the present methods for estimating vegetation

coverage based on remote sensing imagery as well as their advantages and disadvantages. The future trend of

vegetation cover study based on remote sensing technology is also discussed in this paper.

Keywords Remote sensing Achievement

TP79

Issue Date: 13 July 2009

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Cite this article:

CHENG Hong-Fang, ZHANG Wen-BO, CHEN Feng. ADVANCES IN RESEARCHES ON APPLICATION OF REMOTE SENSING METHOD TO ESTIMATING VEGETATION COVERAGE[J]. REMOTE SENSING FOR LAND & RESOURCES,2008, 20(1): 13-18.

URL:

https://www.gtzyyg.com/EN/10.6046/gtzyyg.2008.01.02 OR https://www.gtzyyg.com/EN/Y2008/V20/I1/13

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