The vegetation eco-environment is one of the import constituent elements for the human eco-environment. This article
assesses the vegetation ecol-environment quality(VEQ) over part of the Qingjiang region by using TM remote sensing
image and principal component analysis (PCA) method. There are various geographical and ecological features having
effect on eco-environment of Qingjiang region, Hubei province. The paper gives an evaluation index system of VEQ by
analyzing regional geographical and ecological features, which are composed of 5 factors on vegetation cover, topography & geomorphology, moisture, land cover and hydrothermal regime. These factors are extracted from the
TM remote sensed data. The PCA method is used to calculate the weight of every index. Based on these indices, an
integrated evaluation model of eco-environment quality is built. With the model, the study region is evaluated and
divided into five VEQ evaluation classified ranks. It is concluded that the VEQ in our study region is good as a whole
and the leading VEQ rank is II and III have occupied the proportion of 76.09%.
Vegetation cover is an important component and the best indication to the region ecological environment. The paper
adopts a new method of integrating remote sensing technology and composite index appraisal model based multiple
linear regression for quantitatively evaluating the regional vegetation ecological environment quality(VEEQ). This
method is different to the traditional ecological environment research methods. It fully utilizes the advantages of
quantitatively remote sensing technology, directly extracts the key influencing factors of VEEQ, such as vegetation
indices (RVI, NDVI, ARVI, TMG), humidity indices(NDMI, MI, TMW), soil and landform indices(NDSI, TMB,
GRABS) as the evaluating parameters from data the Landsat 5/TM remotely sensed images, and then puts these factors
mentioned above into the multiple linear regression evaluating model. Ultimately we obtain the VEEQ evaluation rank
figure of the experimental field-part of Qingjiang region. The handy multiple linear regression model, is proved to be
well fit the experimental field for the vegetation ecological environment evaluation research.
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