Study on shallow groundwater information extraction technology based on multi-spectral data and spatial data
文献类型：期刊论文
| 作者 | Yu DeHao1; Deng ZhengDong1; Long Fan2; Guan HongJun1; Wang DaQing1; Gou YiZheng1 |
| 刊名 | SCIENCE IN CHINA SERIES E-TECHNOLOGICAL SCIENCES
 |
| 出版日期 | 2009 |
| 卷号 | 52期号:5页码:1420-1428 |
| 关键词 | remote sensing shallow groundwater forecasting model multi-spectral data spatial data |
| ISSN号 | 1006-9321 |
| 其他题名 | Study on shallow groundwater information extraction technology based on multi-spectral data and spatial data |
| 英文摘要 | 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 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. |
| 语种 | 英语 |
| CSCD记录号 | CSCD:3591177 |
| 源URL | [http://ir.imr.ac.cn/handle/321006/157893]  |
| 专题 | 金属研究所_中国科学院金属研究所 |
| 作者单位 | 1.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 |
| 推荐引用方式 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. |
入库方式： OAI收割
来源：金属研究所
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