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基于遥感技术的县级区域环境质量评价模型研究
引用本文:刘瑞,王世新,周艺,姚尧,韩向娣.基于遥感技术的县级区域环境质量评价模型研究[J].中国环境科学,2012,32(1):181-186.
作者姓名:刘瑞  王世新  周艺  姚尧  韩向娣
作者单位:1. 中国科学院遥感应用研究所,遥感科学国家重点实验室,北京100101;中国科学院研究生院,北京100049
2. 中国科学院遥感应用研究所,遥感科学国家重点实验室,北京100101
基金项目:HJ-1卫星数据应用研究专题项目
摘    要:建立了一种完全基于遥感数据的县级区域生态环境状况评价模型,该模型利用支持向量机的方法对广西钦州市钦南区HJ-1星CCD数据进行分类,提取土地利用类型,同时建立了生物丰度指数、植被覆盖度指数、水资源密度指数、土壤侵蚀指数和人类活动指数5种评价指标,对这些指数加权求和得到区域生态环境状况指数,定量化评价实验区域生态环境质量.评价结果表明,该区域整体生态环境质量良好,生态环境状况为良的区域占总面积的64.105%,主要集中在钦南区的林地区域,生态环境状况为一般的区域占31.206%,主要分布在水资源丰富的区域,而生态环境状况为差的区域则占3.668%,主要集中在人类活动频繁的城区.

关 键 词:遥感  土地利用  县级区域  生态环境评价  
收稿时间:2011-04-13;

Ecological environment condition evaluation mode of county region based on remote sensing techniques.
LIU Rui , WANG Shi-xin , ZHOU Yi , YAO Yao , HAN Xiang-di.Ecological environment condition evaluation mode of county region based on remote sensing techniques.[J].China Environmental Science,2012,32(1):181-186.
Authors:LIU Rui  WANG Shi-xin  ZHOU Yi  YAO Yao  HAN Xiang-di
Institution:1,2(1.State Key Laboratory of Remote Sensing Science,Institute of Remote Sensing Application,Chinese Academy of Sciences,Beijing 100101,China;2.Graduate University of Chinese Academy of Sciences,Beijing 100049,China)
Abstract:A new ecological environment condition evaluation model of county region based on remote sensing techniques only was proposed.In this model,the classification method based on support vector machines with an HJ-1 CCD image of Qinnan district,Guangxi province was used for extraction of land use data.Indices of biodiversity,vegetation coverage,water density,soil erosion and human activities were extracted and the weighted sums of them were composed of regional ecological index which was used to evaluate the regional eco-environmental quality.Overall ecological environment was relatively good.Area in good land accounted for 64.105% of Qinnan district,which mainly distributed in forest area;31.206% of the whole district belonged to moderate grade which distributed in areas with rich water resources;poor land accounted for 3.668% which distributed in building areas.
Keywords:remote sensing  land use data  county region  ecological environment evaluation
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