Natural Resources

Natural Resources

ISSN Print: 2158-706X
ISSN Online: 2158-7086
www.scirp.net/journal/nr
E-mail: [email protected]
"Mapping of Potential Groundwater Recharge Zones in the Kolleru Lake Catchment, India, by Using Remote Sensing and GIS Techniques"
written by Meena Kumari Kolli, Christian Opp, Michael Groll,
published by Natural Resources, Vol.11 No.3, 2020
has been cited by the following article(s):
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[2] Sustainable groundwater recharge potential zone identification: An AHP-OWA approach integrating future rainfall and land-use projections
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[3] Identifying the groundwater potential zones in Jamsholaghat sub-basin by considering GIS and multi-criteria decision analysis
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[4] Mapping of Groundwater Recharge Zones in Hard Rock Aquifer through Analytic Hierarchy Process in Geospatial Platform
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[5] Integrating remote sensing, GIS-based, and AHP techniques to delineate groundwater potential zones in the Moulouya Basin, North-East Morocco
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[6] GIS based multi-criteria decision making to identify regional groundwater potential zones: a critical review
Sustainable Water Resources Management, 2024
[7] Geospatial Technology for Sustainable Agricultural Water Management in India—A Systematic Review. Geomatics 2024, 4, 91–123
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[8] Assessment of groundwater potential and determination of influencing factors using remote sensing and machine learning algorithms: A study of Nainital district of …
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[9] Delineation of groundwater potential zones in Singrauli coalfield using remote sensing, GIS and multi-influencing factor (MIF) techniques, India
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[10] Prediction of soil salinity in the Upputeru river estuary catchment, India, using machine learning techniques
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[11] Application of GIS, Multi-Criteria Decision-Making Techniques for Mapping Groundwater Potential Zones: A Case Study of Thalawa Division, Sri Lanka
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[12] Groundwater potential mapping in Jashore, Bangladesh
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[13] Delineation of groundwater potential zones of the transboundary aquifers within the semiarid Bulal catchment, Southern Ethiopia
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[14] Groundwater potential mapping using multi-criteria decision, bivariate statistic and machine learning algorithms: evidence from Chota Nagpur Plateau, India
Applied Water Science, 2022
[15] Deciphering artificial groundwater recharge suitability zones in the agricultural area of a river basin in Andhra Pradesh, India using geospatial techniques and …
Catena, 2022
[16] Delineating groundwater recharge potential through remote sensing and geographical information systems
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[17] Groundwater potential mapping of Tawi River basin of Jammu District, India, using geospatial techniques
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[18] Groundwater Potential Zone Mapping: Integration of Multi-Criteria Decision Analysis (MCDA) and GIS Techniques for the Al-Qalamoun Region in Syria
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[19] Identification of groundwater potential zones using remote sensing and GIS techniques: A case study of the Shatt Al-Arab Basin
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[20] Identification of Groundwater Potential Zones Using Remote Sensing and GIS Techniques: A Case Study of the Shatt Al-Arab Basin. Remote Sens. 2021, 13, 112
2020
[21] GROUNDWATER USE ZONING MAPPING USING GEOMORPHOLOGICAL APPROACH FOR HANDLING THE WATER CRISIS: STUDY CASE OF …
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[22] Mapping of Major Land-Use Changes in the Kolleru Lake Freshwater Ecosystem by Using Landsat Satellite Images in Google Earth Engine
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[23] Identification of Critical Diffuse Pollution Sources in an Ungauged Catchment by Using the Swat Model-A Case Study of Kolleru Lake, East Coast of India
2020
[24] Identification of groundwater potential zones using remote sensing and GIS techniques: a case study of the Shatt Al-Arab Basin. Remote Sens. 2021; 13 (1): 112
2020
[25] GROUNDWATER USE ZONING MAPPING USING GEOMORPHOLOGICAL APPROACH FOR HANDLING THE WATER CRISIS: STUDY CASE OF KECAMATAN …
Geographica: Science and …, 2020
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