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三峡库区土地资源的多源信息综合制图法
引用本文:曹锦铎,陈鸿昭,陈斌飞,曾志远,潘贤章.三峡库区土地资源的多源信息综合制图法[J].山地学报,1992(2).
作者姓名:曹锦铎  陈鸿昭  陈斌飞  曾志远  潘贤章
作者单位:中国科学院南京土壤研究所 (曹锦铎,陈鸿昭,陈斌飞,曾志远),中国科学院南京土壤研究所(潘贤章)
基金项目:“七五”国家重点科技攻关课题
摘    要:本方法用来编制1:10万长江三峡库区土地资源评价图,以卫星数据计算机监督分类为基础,配合以野外调查和遥感、非遥感的资料。把这些资料作为多源信息,加以综合后,编制出的土地资源评价图,经实地校核,与SPOT卫星像片、卫星数据计算机监督分类图相套合,准确率分别为88,91,93(%)。

关 键 词:长江三峡库区  土地资源  多源信息综合制图法

MULTI-SOURCE INFORMATION COMPREHENSIVE MAPPING METHOD OF LAND RESOURCE IN THE THREE GORGES RESERVOIR AREA OF THE CHANGJIANG RIVER
Cao Jinduo Chen Hongzhao Chen Binfei Zeng Zhiyuan Pan Xianzhang.MULTI-SOURCE INFORMATION COMPREHENSIVE MAPPING METHOD OF LAND RESOURCE IN THE THREE GORGES RESERVOIR AREA OF THE CHANGJIANG RIVER[J].Journal of Mountain Research,1992(2).
Authors:Cao Jinduo Chen Hongzhao Chen Binfei Zeng Zhiyuan Pan Xianzhang
Abstract:This method is to draw up 1:100,000 map of land resource evaluation. Multi-source information comprehensive mapping method refers to one that chooses aerial and space remote sensing and surface materials for analysis and evaluation under the computersupervised classification of data, and is supplimented by relevant materials and referencesources.This method may employ aerial photographs, as well as SPOT satellite pictures and remote sensing data computer supervised classification graphs, depending on the demands and possibilities of drawing a land resource evaluation map. For maps of the provincial level, it is proved to be more accurate and convenient to use computer supervised classification of remote sensing data. In order to get the expected result from multi-source, information comprehensive mapping method, it necessary to make good use of the information from computer supervised classification and other relevant remote sensing and non-remote sensing information, solve the components of map delineation in a scientific way, standardize the boundary shape. Finally, field check of the map should be done carefully.1:100,000 map of land resource evaluation compiled by this method has had a check field and has been registered with SPOT satellite pictures and remote sensing data comoputer supervised classification graphs. Its accuracy rates are 88, 91 and 93(%) respectively.
Keywords:Three Gorges Reservoir Area of the Changjiang River  land resource  multi- source information comprehensive mapping
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