摘要
遥感监测土地覆盖是对流域综合开发所引起的有关土地利用状况改变的有效监督控制手段,土地覆盖分类专题信息提取是遥感监测研究的重要内容之一。针对澜沧江流域遥感监测项目,探讨基于地物光谱响应曲线分析提取山区土地覆盖的多级遥感分类方法应用研究。结果表明,基于具体研究区域的典型地物样点光谱响应曲线分析,在多波段间组织设计有关提取具体研究区域土地覆盖类间可分离性明显的算法,分离并提取特定研究区域土地覆盖主要类型,然后再通过结合多级遥感分类方法的应用,可较之单一依靠自动模式识别方法或单一利用目视解译方法获得诸多优越之处和更符合实际的分类效果,是一种适合于山区土地覆盖监测的有效、可行而又相对操作简单的方法。
Land cover monitoring based on remote sensing is an effective way to supervise land use condition and itschange in basin-wide comprehensive development. Acquisition of thematic information is important content ofbasin land cover remote sensing monitoring. In order to completely monitor Lancang River basin land coverchanging condition by remote sensing technique in its integrated development, we choosed Puer county as atypical studing sample in Lancang River basin.During the process of sample study, by measuring and drawing multispectral response curve of samplecounty and analysing this multispectral response curve, we can find the responsed differance between themain land cover classification. Based on this, an organizational comprehensive way of monitoring land coverby multistep classification of remote sensing is used. Through all this study, the sample county's land coverclassification is aquired. Combined with GIS analysis function, more complicated application is possible,such as statistics, query, mapper, dynamic analysis and etc.A number of conclusions can be drawn from this study. But as a sample study, preliminary results indi-cate that, compared with simple pattera recognition such as supervised classification and unsupervised classi-fication , or only completel manual interpretation, the classification outcome in this way has many advantagesand much better classification precision. Especially in mountain area of Lancang River basin, the way ofmonitoring land cover by remote sensing multistep classification based on analysis of multispectral responsecurve is one of the practicable, easy method.
出处
《地理学报》
EI
CSCD
北大核心
1999年第B06期133-138,共6页
Acta Geographica Sinica
基金
国家自然科学基金"九五"重点项目 (49631020) (Supported by the Key Project of the National National Science Foundation of China
No.49631020)
云南省自然科学基金"九五"重点项目 (96D012Z) (Supported by me key Project of the Provincial Natural Science Foun
