Citations (11)
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S. Anbazhagan & A. Jothibasu. (2016) Geoinformatics in groundwater potential mapping and sustainable development: a case study from southern India. Hydrological Sciences Journal 61:6, pages 1109-1123.
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Articles from other publishers (10)
Pradeep Kamaraj, Muralitharan Jothimani, Banajarani Panda & Chidambaram Sabarathinam. (2023) Mapping of groundwater potential zones by integrating remote sensing, geophysics, GIS, and AHP in a hard rock terrain. Urban Climate 51, pages 101610.
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Naseem Akhtar, Muhammad Izzuddin Syakir, Mohd Talha Anees, Abdul Qadir & Mohamad Shaiful Yusuff. 2021. Groundwater Management and Resources. Groundwater Management and Resources.
Mathiazhagan Mookiah, Sanjeev Kumar Jha & Ashis Biswas. (2021) Assessment of groundwater mass balance and zone budget in the semi-arid region: A case study of Palar sub-basin, Tamil Nadu, India. Journal of Earth System Science 130:4.
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Alaa A. Ahmed & Ashraf R. Shabana. (2020) Integrating of remote sensing, GIS and geophysical data for recharge potentiality evaluation in Wadi El Tarfa, eastern desert, Egypt. Journal of African Earth Sciences 172, pages 103957.
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Jamilu Bala Ahmed II & Biswajeet Pradhan. (2019) Spatial assessment of termites interaction with groundwater potential conditioning parameters in Keffi, Nigeria. Journal of Hydrology 578, pages 124012.
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Jamilu Bala Ahmed II & Shattri Mansor. (2018) Overview of the application of geospatial technology to groundwater potential mapping in Nigeria. Arabian Journal of Geosciences 11:17.
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Seyed Amir Naghibi & Mostafa Moradi Dashtpagerdi. (2016) Evaluation of four supervised learning methods for groundwater spring potential mapping in Khalkhal region (Iran) using GIS-based featuresEvaluation de quatre méthodes d’apprentissage supervisé pour la cartographie du potentiel des sources d’eaux souterraines dans la région de Khalhal (Iran) à partir des fonctionnalités d’un SIGEvaluación de cuatro métodos de aprendizaje supervisado para el mapeo de potenciales manantiales de agua subterránea en la región Khalkhal (Irán) utilizando características basadas en GIS采用基于GIS特点评估(伊朗)Khalkhal地区地下水泉潜力绘图四种监管的学习方法Avaliação de quatro métodos de aprendizagem supervisionada para o mapeamento do potencial de nascentes de águas subterrâneas na região de Khalkhal (Irã) através de ferramentas baseadas em SIG. Hydrogeology Journal 25:1, pages 169-189.
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I. Jasmin & P. Mallikarjuna. (2014) Delineation of groundwater potential zones in Araniar River basin, Tamil Nadu, India: an integrated remote sensing and geographical information system approach. Environmental Earth Sciences 73:7, pages 3833-3847.
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Saro Lee, Kyo-Young Song, Yongsung Kim & Inhye Park. (2012) Regional groundwater productivity potential mapping using a geographic information system (GIS) based artificial neural network modelCartographie régionale du potentiel de productivité des aquifères à partir d’un système d’information géographique base sur un modèle de réseau de neurones artificielsMapeo de la productividad potencial de agua subterránea regional usando un sistema de información geográfica (SIG) basado en un modelo de redes neuronales artificiales基于人工神经网络模拟的GIS系统绘制区域地下水开采潜力图인공신경망 모델에 기반한 지리정보시스템(GIS)을 이용한 광역적 지하수 부존 가능성도 작성Mapeamento do potencial de produtividade regional de águas subterrâneas usando um modelo de rede neural artificial baseado num sistema de informação geográfica (SIG). Hydrogeology Journal 20:8, pages 1511-1527.
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Hyun-Joo Oh, Yong-Sung Kim, Jong-Kuk Choi, Eungyu Park & Saro Lee. (2011) GIS mapping of regional probabilistic groundwater potential in the area of Pohang City, Korea. Journal of Hydrology 399:3-4, pages 158-172.
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