Abstract
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.
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Yu, D., Deng, Z., Long, F. et al. Study on shallow groundwater information extraction technology based on multi-spectral data and spatial data. Sci. China Ser. E-Technol. Sci. 52, 1420–1428 (2009). https://doi.org/10.1007/s11431-009-0147-8
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DOI: https://doi.org/10.1007/s11431-009-0147-8