IMR OpenIR
Study on shallow groundwater information extraction technology based on multi-spectral data and spatial data
Alternative TitleStudy on shallow groundwater information extraction technology based on multi-spectral data and spatial data
Yu DeHao1; Deng ZhengDong1; Long Fan2; Guan HongJun1; Wang DaQing1; Gou YiZheng1
2009
Source PublicationSCIENCE IN CHINA SERIES E-TECHNOLOGICAL SCIENCES
ISSN1006-9321
Volume52Issue:5Pages:1420-1428
AbstractAimed 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 paper. Based 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 areas. According to investigations, a conclusion is drawn that the results of the model are satisfied, which have been testified by the later geophysical exploration and drilling. Thus, the model can serve as a guide for finding groundwater in the arid and semi-arid regions.
Other AbstractAimed 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 paper. Based 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 areas. According to investigations, a conclusion is drawn that the results of the model are satisfied, which have been testified by the later geophysical exploration and drilling. Thus,the model can serve as a guide for finding groundwater in the arid and semi-arid regions.
Keywordremote sensing shallow groundwater forecasting model multi-spectral data spatial data
Indexed ByCSCD
Language英语
CSCD IDCSCD:3591177
Citation statistics
Document Type期刊论文
Identifierhttp://ir.imr.ac.cn/handle/321006/157894
Collection中国科学院金属研究所
Affiliation1.中国科学院南京地理与湖泊研究所
2.中国科学院金属研究所
Recommended Citation
GB/T 7714
Yu DeHao,Deng ZhengDong,Long Fan,et al. Study on shallow groundwater information extraction technology based on multi-spectral data and spatial data[J]. SCIENCE IN CHINA SERIES E-TECHNOLOGICAL SCIENCES,2009,52(5):1420-1428.
APA Yu DeHao,Deng ZhengDong,Long Fan,Guan HongJun,Wang DaQing,&Gou YiZheng.(2009).Study on shallow groundwater information extraction technology based on multi-spectral data and spatial data.SCIENCE IN CHINA SERIES E-TECHNOLOGICAL SCIENCES,52(5),1420-1428.
MLA Yu DeHao,et al."Study on shallow groundwater information extraction technology based on multi-spectral data and spatial data".SCIENCE IN CHINA SERIES E-TECHNOLOGICAL SCIENCES 52.5(2009):1420-1428.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Yu DeHao]'s Articles
[Deng ZhengDong]'s Articles
[Long Fan]'s Articles
Baidu academic
Similar articles in Baidu academic
[Yu DeHao]'s Articles
[Deng ZhengDong]'s Articles
[Long Fan]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Yu DeHao]'s Articles
[Deng ZhengDong]'s Articles
[Long Fan]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.