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Eco-environment Quality Evaluation based on Remote Sensing overQingjiang, Hubei

机译:基于河北近江江的生态环境质量评价

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The vegetation eco-environment is one of the import constituent elements for the human eco-environment. This articleassesses 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 havingeffect on eco-environment of Qingjiang region, Hubei province. The paper gives an evaluation index system of VEQ byanalyzing 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 theTM remote sensed data. The PCA method is used to calculate the weight of every index. Based on these indices, anintegrated evaluation model of eco-environment quality is built. With the model, the study region is evaluated anddivided into five VEQ evaluation classified ranks. It is concluded that the VEQ in our study region is good as a wholeand the leading VEQ rank is II and III have occupied the proportion of 76.09%.
机译:植被生态环境是人类生态环境的进口组成部分之一。通过TM遥感图像和主成分分析(PCA)方法,这巧妙的是清江地区的一部分植被ECOL环境质量(VEQ)。湖北省青江地区生态环境有各种地理和生态特征。本文给出了VEQ的评估指标体系,由分析区域地理和生态特征,由5种植被覆盖,地形和地貌,水分,陆地覆盖和水热法规组成。这些因素是从遥感数据中提取的。 PCA方法用于计算每个索引的权重。基于这些指数,建立了生态环境质量的共谋评价模型。通过该模型,研究区域被评估为5个VEQ评估分类等级。得出结论认为,我们的研究区域的VEQ是良好的,前面的VEQ等级是II和III占据了76.09%的比例。

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