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基于RS流域枯水资源的判读识别
引用本文:贺中华,梁虹,杨胜天,焦树林,赵芳. 基于RS流域枯水资源的判读识别[J]. 贵州师范大学学报(自然科学版), 2004, 22(2): 36-39
作者姓名:贺中华  梁虹  杨胜天  焦树林  赵芳
作者单位:贵州师范大学,地理与生物科学院,贵州,贵阳,550001;北京师范大学,环境学院,北京,100875;白云区南湖中学,贵州,贵阳,550003
基金项目:国家自然科学基金资助项目(40061001),国家资源科学基金资助(40271055)
摘    要:在GIS和RS技术的支持下,以单个水文站所控制的流域为统计单元,借助于ArcView软件强大的计算功能、ERDARSIMAGE软件强大的图象处理功能,在TM影像确定单个水文站所控制的流域面并数字化,通过SPSS软件进行多元回归分析,提出从TM影像判读枯水资源的多元回归方程。

关 键 词:GIS和RS技术  流域  TM影像  枯水资源  多元回归方程
文章编号:1004-5570(2004)02-0036-04
修稿时间:2004-03-03

The identification of the drainage basin low-flow resources on RS
HE Zhong-hua,LIANG Hong,YANG Sheng-tian,JIAO Shu-lin,ZHAO Fang. The identification of the drainage basin low-flow resources on RS[J]. Journal of Guizhou Normal University(Natural Sciences), 2004, 22(2): 36-39
Authors:HE Zhong-hua  LIANG Hong  YANG Sheng-tian  JIAO Shu-lin  ZHAO Fang
Affiliation:HE Zhong-hua~1,LIANG Hong~1,YANG Sheng-tian~2,JIAO Shu-lin~1,ZHAO Fang~3
Abstract:With the support of the GIS and RS technology,the single hydrologic station controling drainage area is taken as the statistic unit.By means of the powerful calculating function of the ArcView and the powerful graph management function of the ERDAS image,the controlled drainage area of the single hydrologic station on TM image is identified and digitized.Using SPSS software for the multivariate regression analysis,the multivariate regression equation of the low-flow resources identification is provided.
Keywords:GIS and RS technology  drainage basin  TM image  Low-flow resources  multivariate regression equation
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