Mapping of Groundwater Potential Zone Based on Remote Sensing and GIS Techniques: A Case Study of Kalmykia, Russia
Author:
Publisher
Allerton Press
Subject
Electrical and Electronic Engineering,General Computer Science,Electronic, Optical and Magnetic Materials
Link
http://link.springer.com/content/pdf/10.3103/S1060992X1901003X.pdf
Reference11 articles.
1. Laishram Kanta Singh, Madan K. Jha, and Chowdary, V.M., Assessing the accuracy of GIS-based Multi-Criteria Decision Analysis approaches for mapping groundwater potential, Ecol. Indic., 2018, vol. 91, pp. 24–37.
2. Boori, M.S., Choudhary, K., Paringer, R.A., and Evers, M., Food vulnerability analysis in the central dry zone of Myanmar, Comput. Opt., 2017, vol. 41, no. 4, pp. 552–558. https://doi.org/10.18287/2412-6179-2017-41-4-552-558
3. Mogaji, K.A. and Lim, H.S., Application of a GIS-/remote sensing-based approach for predicting groundwater potential zones using a multi-criteria data mining methodology, Environ. Monit. Assess., 2017, vol. 189, p. 321.
4. Selvam, S., Dar, F.A., Magesh, N.S., et al., Application of remote sensing and GIS for delineating groundwater recharge potential zones of Kovilpatti Municipality, Tamil Nadu using IF technique, Earth Sci. Inf., 2016, vol. 9, p. 137.
5. Boori, M.S., Choudhary, K., Evers, M., and Paringer, R., A review of food security and flood risk dynamics in Central Dry Zone area of Myanmar, Procedia Eng., 2017, vol. 201, pp. 231–238. https://doi.org/10.1016/j.proeng.2017.09.600
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