Study on shallow groundwater information extraction technology based on multi-spectral data and spatial data

作     者：YU DeHao DENG ZhengDong LONG Fan GUAN HongJun WANG DaQing GOU YiZheng 

作者机构：Engineering Institute of Engineering CorpsPLA University of Science and TechnologyNanjing 210007China Engineering Research Institute of Shenyang Military Area CommandShenyang 110162China 

出 版 物：《Science China(Technological Sciences)》 (中国科学（技术科学英文版）)

年 卷 期：2009年第52卷第5期

页      面：1420-1428页

核心收录：

学科分类：0810[工学-信息与通信工程] 081203[工学-计算机应用技术] 08[工学] 0805[工学-材料科学与工程（可授工学、理学学位）] 0835[工学-软件工程] 0702[理学-物理学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：remote sensing shallow groundwater forecasting model multi-spectral data spatial data 

摘      要：Aimed at solving the difficulties,such as low efficiency and limited exploration range encountered in finding groundwater with the traditional methods,a new method was presented by using remote sensing technology in this *** on multi-spectral data(ETM data) and spatial data(SRTM data),a forecasting model was built to produce a probability rating map for finding shallow groundwater in the arid and semi-arid *** to investigations,a conclusion is drawn that the results of the model are satisfied,which have been testified by the later geophysical exploration and ***,the model can serve as a guide for finding groundwater in the arid and semi-arid regions.