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摘要

全文摘要次数: 3159 全文下载次数: 25
引用本文:

DOI:

10.11834/jrs.20020113

收稿日期:

2000-10-31

修改日期:

2001-01-11

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黄土地区高中低产农田成因及遥感分类方法研究——以山西省定襄县为例
山西省农业遥感应用研究所,山西太原030002
摘要:

利用空间遥感信息在地理信息系统支持下,以山西省定襄县为试验区,进行黄土地区高中低产农田监测时,选用与高中低产农田成因直接关系的盐碱程度、灌溉等级和地形坡度等专题信息与TM数据进行信息复合,采用先分枢分类最后合并的复合分层分类方法,改进了常规的遥感分类方法,大大提高了分类精度。

关键词:

遥感  GIS  农田  复合分层分类
Study on Remote Sensing Classification Method of Classifing High, Medium and Low Yield Croplands and Their Forming Factors in the Loess Plateau --Taking Dingxiang County of Shanxi Province as an Example
Abstract:

In loess plateau of China, the yield varies from cropland to cropland. It is very important for the agriculture of China that monitoring the changes of cropland in different years with RS information. The paper selects some themes that directly affect the yeild of cropland. Based on the comprehensive thematic information, a large region is divided into several small regions and the cropland from some different region in the remote sensing TM image are classified. The development of the method of divisional compound hierarchical classification has improved the accuracy of remote sensing classification greatly.

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