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出 处:《山地学报》1999年第1期40-44,共5页Mountain Research
基 金:国家自然科学基金
摘 要:通过遥感数字图象统计分析与处理,确定了分类图、沟谷图、绿度指数图是评价山区土地荒漠化的有效图象,进行了沟谷指标、绿度指数分级,肯定了遥感技术应用于山区土地荒漠化评价的可能性。Land desertification is one of the serious problems to environment and economy in the world. Because of geographical condition,it′s difficult to get information of land desertification in mountainous regions. To gain the information related to monitoring and evaluating Land desertification from remote sensing image is the key of application and developing of remote sensing technology to prevention of land desertification. Principal component analysis to Landsat TM image data(except TM6),the first principal component indicates geomorphic character,and the second principal component (also called green index)indicates the regetation cover feature.Spatial fileer to the first principal component,gully image is got and gully criteria for evaluation land desertification are given. Combining the results of computer_assisted classification of multispectral data with the second principal component,the ralation between land types,lond desertification degree and green index is know. Classification image,gully image and green index image form a set of image for evaluating land desertificaeion. It′s feasible to apply remote sensing to the evaluation of land desertification in mountainous regions.
分 类 号:S288[农业科学—农业水土工程]
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