{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,16]],"date-time":"2026-05-16T13:09:14Z","timestamp":1778936954402,"version":"3.51.4"},"reference-count":73,"publisher":"MDPI AG","issue":"22","license":[{"start":{"date-parts":[[2021,11,19]],"date-time":"2021-11-19T00:00:00Z","timestamp":1637280000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["42074176"],"award-info":[{"award-number":["42074176"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["41874169"],"award-info":[{"award-number":["41874169"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U1939204"],"award-info":[{"award-number":["U1939204"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Key R&amp;D Program of China","award":["2020YFC1512401"],"award-info":[{"award-number":["2020YFC1512401"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Mianyang City is located in the varied topographic areas of Sichuan Province in southwestern China and is characterized by a complex geological background. This area is prone to disasters and its varied topography is inconvenient for emergency water storage and supply. Groundwater is essential for alleviating the demand for water and post-disaster emergency water supply in this area. This study applied AHP to integrate remote sensing, geological and hydrological data into GIS for the assessment of groundwater potential, providing a plan for the rational exploitation of groundwater and post-disaster emergency water supply in the area. Nine factors, including the spring calibration related to groundwater, were integrated by AHP after multicollinear checks. As a result, the geology-controlled groundwater potential map was classified into five levels with equal intervals. All the results were validated using borehole data, indicating the following: the areas with yield rates of &lt;1t\/d\u00b7m, 1\u201320 t\/d\u00b7m, and 20\u2013400 t\/d\u00b7m accounted for 2.66%, 36.1%, and 39.62%, respectively, whereas the areas with yield rates of 400\u20134000 t\/d\u00b7m and &gt;4000t\/d\u00b7m accounted for only 20.88% and 0.75% of the overall area. The flexibility of this quick and efficient method enables its application in other regions with a similar geological background.<\/jats:p>","DOI":"10.3390\/rs13224684","type":"journal-article","created":{"date-parts":[[2021,11,21]],"date-time":"2021-11-21T21:00:50Z","timestamp":1637528450000},"page":"4684","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":18,"title":["GIS-Based Groundwater Potential Assessment in Varied Topographic Areas of Mianyang City, Southwestern China, Using AHP"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9945-4840","authenticated-orcid":false,"given":"Qing","family":"Zhang","sequence":"first","affiliation":[{"name":"School of Geodesy and Geomatics, Collaborative Innovation Center for Geospatial Technology, Wuhan University, Wuhan 430079, China"},{"name":"Key Laboratory of Geospace Environment and Geodesy, Ministry of Education, Wuhan 430079, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shuangxi","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Geodesy and Geomatics, Collaborative Innovation Center for Geospatial Technology, Wuhan University, Wuhan 430079, China"},{"name":"Key Laboratory of Geospace Environment and Geodesy, Ministry of Education, Wuhan 430079, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8528-7746","authenticated-orcid":false,"given":"Yu","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Geodesy and Geomatics, Collaborative Innovation Center for Geospatial Technology, Wuhan University, Wuhan 430079, China"},{"name":"Key Laboratory of Geospace Environment and Geodesy, Ministry of Education, Wuhan 430079, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mengkui","family":"Li","sequence":"additional","affiliation":[{"name":"School of Geodesy and Geomatics, Collaborative Innovation Center for Geospatial Technology, Wuhan University, Wuhan 430079, China"},{"name":"Key Laboratory of Geospace Environment and Geodesy, Ministry of Education, Wuhan 430079, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yu","family":"Wei","sequence":"additional","affiliation":[{"name":"School of Geodesy and Geomatics, Collaborative Innovation Center for Geospatial Technology, Wuhan University, Wuhan 430079, China"},{"name":"Key Laboratory of Geospace Environment and Geodesy, Ministry of Education, Wuhan 430079, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Meng","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Geodesy and Geomatics, Collaborative Innovation Center for Geospatial Technology, Wuhan University, Wuhan 430079, China"},{"name":"Key Laboratory of Geospace Environment and Geodesy, Ministry of Education, Wuhan 430079, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-3358-3125","authenticated-orcid":false,"given":"Zeyi","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Geodesy and Geomatics, Collaborative Innovation Center for Geospatial Technology, Wuhan University, Wuhan 430079, China"},{"name":"Key Laboratory of Geospace Environment and Geodesy, Ministry of Education, Wuhan 430079, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhouqing","family":"Dai","sequence":"additional","affiliation":[{"name":"School of Geodesy and Geomatics, Collaborative Innovation Center for Geospatial Technology, Wuhan University, Wuhan 430079, China"},{"name":"Key Laboratory of Geospace Environment and Geodesy, Ministry of Education, Wuhan 430079, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2021,11,19]]},"reference":[{"key":"ref_1","unstructured":"Watto, M.A. (2015). The Economics of Groundwater Irrigation in the Indus Basin, Pakistan: Tube-Well Adoption, Technical and Ir-rigation Water Efficiency and Optimal Allocation. [Ph.D. Thesis, University of Western Australia]."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"168","DOI":"10.1016\/j.gsd.2017.06.007","article-title":"Guidelines to groundwater vulnerability mapping for Sub-Saharan Africa","volume":"5","author":"Oke","year":"2017","journal-title":"Groundw. Sustain. Dev."},{"key":"ref_3","first-page":"14","article-title":"AHP-based evaluation of occurrence easiness of geological disasters in Mianyang City","volume":"18","author":"Wang","year":"2009","journal-title":"J. Nat. Disasters"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"255","DOI":"10.1016\/j.jenvman.2016.09.082","article-title":"A fuzzy-logic based decision-making approach for identification of groundwater quality based on groundwater quality indices","volume":"184","author":"Vadiati","year":"2016","journal-title":"J. Environ. Manag."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"2365","DOI":"10.1007\/s12665-014-3586-x","article-title":"Schemes of groundwater exploitation for emergency water supply and their environmental impacts on Jiujiang City, China","volume":"73","author":"Lan","year":"2014","journal-title":"Environ. Earth Sci."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"471","DOI":"10.1016\/j.jhydrol.2017.03.020","article-title":"A comparative assessment of GIS-based data mining models and a novel ensemble model in groundwater well potential mapping","volume":"548","author":"Naghibi","year":"2017","journal-title":"J. Hydrol."},{"key":"ref_7","unstructured":"Sichuan Hydrology and Water Resources Survey Bureau (2019). Water Resources Bulletin of Sichuan Province, China, Sichuan Provincial Water Resources Department."},{"key":"ref_8","unstructured":"Russoniello, C.J., Michael, H.A., Fernandez, C., Andres, A.S., He, C., and Madsen, J.A. (2017). Investigation of Submarine Groundwater Discharge at Holts Landing State Park, Delaware: Hydrogeologic Framework, Groundwater Level and Salinity Observations, Delaware Geological Survey, University of Delaware."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"408","DOI":"10.1016\/j.nrjag.2017.09.003","article-title":"Assessment of groundwater potentiality using geophysical techniques in Wadi Allaqi basin, Eastern Desert, Egypt\u2014Case study","volume":"6","author":"Helaly","year":"2017","journal-title":"NRIAG J. Astron. Geophys."},{"key":"ref_10","unstructured":"Moss, R., and Moss, G.E. (1990). Handbook of Ground Water Development, Wiley-Interscience."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"2485","DOI":"10.1016\/j.jclepro.2017.11.161","article-title":"Delineation of groundwater potential zone for sustainable development: A case study from Ganga Alluvial Plain covering Hooghly district of India using remote sensing, geographic information system and analytic hierarchy process","volume":"172","author":"Patra","year":"2018","journal-title":"J. Clean. Prod."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"283","DOI":"10.1016\/j.jhydrol.2014.02.053","article-title":"Application of GIS based data driven evidential belief function model to predict groundwater potential zonation","volume":"513","author":"Nampak","year":"2014","journal-title":"J. Hydrol."},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Lee, S., Lee, C.-W., and Kim, J.-C. (2019). Groundwater productivity potential mapping using logistic regression and boosted tree models: The case of Okcheon City in Korea. Arab. J. Geosci., 305\u2013307.","DOI":"10.1007\/978-3-030-01440-7_69"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"1488","DOI":"10.1016\/j.asr.2017.06.054","article-title":"A quantitative method to evaluate the performance of topographic correction models used to improve land cover identification","volume":"60","author":"Park","year":"2017","journal-title":"Adv. Space Res."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"406","DOI":"10.1080\/12265934.2018.1468275","article-title":"Ground subsidence observation of solid waste landfill park using multi-temporal radar interferometry","volume":"23","author":"Baek","year":"2019","journal-title":"Int. J. Urban Sci."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"341","DOI":"10.7780\/kjrs.2014.30.3.1","article-title":"Application of Landsat images to Snow Cover Changes by volcanic activities at Mt. Villarrica and Mt. Llaima, Chile","volume":"30","author":"Kim","year":"2014","journal-title":"Korean J. Remote. Sens."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"75","DOI":"10.1007\/s10040-006-0129-x","article-title":"Remote sensing and GIS for mapping groundwater recharge and discharge areas in salinity prone catchments, southeastern Australia","volume":"15","author":"Tweed","year":"2006","journal-title":"Hydrogeol. J."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"240","DOI":"10.1007\/s12665-017-6557-1","article-title":"An integrated geomatics approach to groundwater potential delineation in the Akoko-Edo Area, Nigeria","volume":"76","author":"Aluko","year":"2017","journal-title":"Environ. Earth Sci."},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Goodchild, M.F. (2012). Geographic information systems. Encyclopedia of Theoretical Ecology, University of California Press.","DOI":"10.4135\/9781412994231.n84"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"587","DOI":"10.1007\/s10816-017-9347-x","article-title":"Monitoring the environmental risks around Medinet Habu and Ramesseum Temple at West Luxor, Egypt, using remote sensing and GIS techniques","volume":"25","author":"Elfadaly","year":"2017","journal-title":"J. Archaeol. Method Theory"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1080\/10106049.2014.883433","article-title":"Automatic detection of near surface geological and hydrological features and investigating their influence on groundwater accumulation and salinity in southwest Egypt using remote sensing and GIS","volume":"30","author":"Elmahdy","year":"2014","journal-title":"Geocarto Int."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"931","DOI":"10.1007\/s10668-018-0227-7","article-title":"Application of multi-criteria decision making technique for the assessment of groundwater potential zones: A study on Birbhum district, West Bengal, India","volume":"22","author":"Das","year":"2018","journal-title":"Environ. Dev. Sustain."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"317","DOI":"10.1007\/s12145-019-00426-8","article-title":"Multi-influencing factor method for delineation of groundwater potential zones using remote sensing and GIS techniques in the western part of Perambalur district, southern India","volume":"13","author":"Anbarasu","year":"2019","journal-title":"Earth Sci. Inform."},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Lee, S., Hyun, Y., and Lee, M.-J. (2019). Groundwater potential mapping using data mining models of big data analysis in Goyang-si, South Korea. Sustainability, 11.","DOI":"10.3390\/su11061678"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"699","DOI":"10.1007\/s13201-015-0283-1","article-title":"Modeling of groundwater productivity in northeastern Wasit Governorate, Iraq using frequency ratio and Shannon\u2019s entropy models","volume":"7","year":"2017","journal-title":"Appl. Water Sci."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"360","DOI":"10.1016\/j.catena.2015.10.010","article-title":"Application of GIS-based data driven random forest and maximum entropy models for groundwater potential mapping: A case study at Mehran Region, Iran","volume":"137","author":"Rahmati","year":"2016","journal-title":"Catena"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1007\/s10661-018-6507-8","article-title":"Groundwater potential mapping using C5.0, random forest, and multivariate adaptive regression spline models in GIS","volume":"190","author":"Golkarian","year":"2018","journal-title":"Environ. Monit. Assess."},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Park, S., Hamm, S.-Y., Jeon, H.-T., and Kim, J. (2017). Evaluation of logistic regression and multivariate adaptive regression spline models for groundwater potential mapping using R and GIS. Sustainability, 9.","DOI":"10.3390\/su9071157"},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Kim, J.-C., Jung, H.-S., and Lee, S. (2019). Spatial mapping of the groundwater potential of the geum river basin using ensemble models based on remote sensing images. Remote Sens., 11.","DOI":"10.3390\/rs11192285"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"125033","DOI":"10.1016\/j.jhydrol.2020.125033","article-title":"Spatial prediction of groundwater potential mapping based on convolutional neural network (CNN) and support vector regression (SVR)","volume":"588","author":"Panahi","year":"2020","journal-title":"J. Hydrol."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"18501","DOI":"10.1007\/s11356-020-10646-x","article-title":"Application of deep neural network to capture groundwater potential zone in mountainous terrain, Nepal Himalaya","volume":"28","author":"Pradhan","year":"2021","journal-title":"Environ. Sci. Pollut. Res."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"129","DOI":"10.1016\/j.jksus.2013.09.004","article-title":"Spatial analysis of Ardabil plain aquifer potable groundwater using fuzzy logic","volume":"26","author":"Kord","year":"2014","journal-title":"J. King Saud Univ. Sci."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"194","DOI":"10.1080\/19475705.2016.1181676","article-title":"Groundwater potential of Middle Atlas plateaus, Morocco, using fuzzy logic approach, GIS and remote sensing","volume":"8","author":"Aouragh","year":"2017","journal-title":"Geomat. Nat. Hazards Risk"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"617","DOI":"10.1016\/j.gsd.2019.03.003","article-title":"Comparison among influencing factor, frequency ratio, and analytical hierarchy process techniques for groundwater potential zonation in Vaitarna basin, Maharashtra, India","volume":"8","author":"Das","year":"2019","journal-title":"Groundw. Sustain. Dev."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"1258","DOI":"10.1007\/s12205-012-1242-0","article-title":"GIS-based landslide susceptibility mapping using analytic hierarchy process and artificial neural network in Jeju (Korea)","volume":"16","author":"Quan","year":"2012","journal-title":"KSCE J. Civ. Eng."},{"key":"ref_36","unstructured":"Lu, Z., Deng, Z., Wang, D., Zhao, H., Wang, G., and Xu, H. (2021). Overview of the research progress of groundwater resources assessment technology based on remote sensing. Geol. Surv. China, 114\u2013124."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s11518-006-0151-5","article-title":"Decision making\u2014The analytic hierarchy and network processes (AHP\/ANP)","volume":"13","author":"Saaty","year":"2004","journal-title":"J. Syst. Sci. Syst. Eng."},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"Brunelli, M. (2015). Introduction to the Analytic Hierarchy Process, Springer.","DOI":"10.1007\/978-3-319-12502-2"},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"161","DOI":"10.1016\/0270-0255(87)90473-8","article-title":"The analytic hierarchy process\u2014What it is and how it is used","volume":"9","author":"Saaty","year":"1987","journal-title":"Math. Model."},{"key":"ref_40","doi-asserted-by":"crossref","unstructured":"Mu, E., and Pereyra-Rojas, M. (2017). Understanding the analytic hierarchy process. Practical Decision Making, Springer.","DOI":"10.1007\/978-3-319-33861-3"},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"100239","DOI":"10.1016\/j.gsd.2019.100239","article-title":"Delineation of groundwater potential zones using geospatial techniques and analytical hierarchy process in Dumka district, Jharkhand, India","volume":"9","author":"Murmu","year":"2019","journal-title":"Groundw. Sustain. Dev."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"497","DOI":"10.1007\/s12524-019-01086-3","article-title":"Identification of groundwater potential zones using RS, GIS and AHP techniques: A case study in a part of Deccan Volcanic Province (DVP), Maharashtra, India","volume":"48","author":"Kumar","year":"2020","journal-title":"J. Indian Soc. Remote Sens."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"100610","DOI":"10.1016\/j.ejrh.2019.100610","article-title":"Groundwater potential assessment using GIS and remote sensing: A case study of Guna tana landscape, upper blue Nile Basin, Ethiopia","volume":"24","author":"Andualem","year":"2019","journal-title":"J. Hydrol. Reg. Stud."},{"key":"ref_44","doi-asserted-by":"crossref","unstructured":"Dar, T., Rai, N., and Bhat, A. (2020). Delineation of potential groundwater recharge zones using analytical hierarchy process (AHP). Geol. Ecol. Landsc., 1\u201316.","DOI":"10.1080\/24749508.2020.1726562"},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"1511","DOI":"10.1007\/s10040-012-0894-7","article-title":"Regional groundwater productivity potential mapping using a geographic information system (GIS) based artificial neural network model","volume":"20","author":"Lee","year":"2012","journal-title":"Hydrogeol. J."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"503","DOI":"10.1007\/s13201-015-0270-6","article-title":"Delineation of groundwater potential zones in the Comoro watershed, Timor Leste using GIS, remote sensing and analytic hierarchy process (AHP) technique","volume":"7","author":"Pinto","year":"2017","journal-title":"Appl. Water Sci."},{"key":"ref_47","first-page":"1181","article-title":"Segmentation characteristics of the Longmenshan fault\u2014Constrained from dense focal mechanism data","volume":"64","author":"Yang","year":"2021","journal-title":"Chin. J. Geophys."},{"key":"ref_48","first-page":"124","article-title":"China national digital hydrogeological map (At 1:200,000 Scale) spatial database","volume":"48","author":"Mu","year":"2021","journal-title":"Geol. China"},{"key":"ref_49","doi-asserted-by":"crossref","unstructured":"Ishizaka, A., and Nemery, P. (2013). Multi-Criteria Decision Analysis: Methods and Software, Wiley.","DOI":"10.1002\/9781118644898"},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"105850","DOI":"10.1016\/j.ecolind.2019.105850","article-title":"Groundwater potential assessment of an alluvial aquifer in Yamuna sub-basin (Panipat region) using remote sensing and GIS techniques in conjunction with analytical hierarchy process (AHP) and catastrophe theory (CT)","volume":"110","author":"Kaur","year":"2020","journal-title":"Ecol. Indic."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"1805","DOI":"10.1016\/j.gsf.2019.12.013","article-title":"Mapping favorable groundwater potential recharge zones using a GIS-based analytical hierarchical process and probability frequency ratio model: A case study from an agro-urban region of Pakistan","volume":"11","author":"Arshad","year":"2020","journal-title":"Geosci. Front."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"104681","DOI":"10.1016\/j.catena.2020.104681","article-title":"Delineation of groundwater potential zones in a drought-prone semi-arid region of east India using GIS and analytical hierarchical process techniques","volume":"194","author":"Mukherjee","year":"2020","journal-title":"Catena"},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"615","DOI":"10.1007\/s41324-017-0127-1","article-title":"Groundwater potential mapping using analytical hierarchical process: A study on Md. Bazar Block of Birbhum District, West Bengal","volume":"25","author":"Saha","year":"2017","journal-title":"Spat. Inf. Res."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"431","DOI":"10.1007\/s10898-018-0713-3","article-title":"Mixed integer quadratic optimization formulations for eliminating multicollinearity based on variance inflation factor","volume":"73","author":"Tamura","year":"2018","journal-title":"J. Glob. Optim."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"27","DOI":"10.1111\/j.1600-0587.2012.07348.x","article-title":"Collinearity: A review of methods to deal with it and a simulation study evaluating their performance","volume":"36","author":"Dormann","year":"2013","journal-title":"Ecography"},{"key":"ref_56","first-page":"1","article-title":"China national digital geological map (Public Version at 1:200,000 Scale) spatial database","volume":"46","author":"Li","year":"2019","journal-title":"Geol. China"},{"key":"ref_57","unstructured":"(2021, March 03). Geospatial Data Cloud. Available online: www.gscloud.cn."},{"key":"ref_58","unstructured":"(2021, March 03). Earthdata, Available online: Search.earthdata.nasa.gov\/search."},{"key":"ref_59","unstructured":"(2021, May 06). GSMaP Global Satellite Mapping of Precipitation. Available online: Sharaku.eorc.jaxa.jp\/GSMaP\/index.htm."},{"key":"ref_60","unstructured":"(2021, May 03). OpenStreetMap. Available online: Download.geofabrik.de."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"197","DOI":"10.1016\/j.jhydrol.2015.03.056","article-title":"A GIS\/Remote Sensing-based methodology for groundwater potentiality assessment in Tirnavos area, Greece","volume":"525","author":"Oikonomidis","year":"2015","journal-title":"J. Hydrol."},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"104868","DOI":"10.1016\/j.envsoft.2020.104868","article-title":"Integrated remote sensing and GIS approach using Fuzzy-AHP to delineate and identify groundwater potential zones in semi-arid Shanxi Province, China","volume":"134","author":"Shao","year":"2020","journal-title":"Environ. Model. Softw."},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"1403","DOI":"10.1016\/j.gsf.2019.11.012","article-title":"Mapping of groundwater potential zones in the drought-prone areas of south Madagascar using geospatial techniques","volume":"11","author":"Serele","year":"2020","journal-title":"Geosci. Front."},{"key":"ref_64","doi-asserted-by":"crossref","unstructured":"Lee, S., Hyun, Y., Lee, S., and Lee, M.-J. (2020). Groundwater potential mapping using remote sensing and GIS-based machine learning techniques. Remote Sens., 12.","DOI":"10.3390\/rs12071200"},{"key":"ref_65","doi-asserted-by":"crossref","unstructured":"Yang, J., Zhang, H., Ren, C., Nan, Z., Wei, X., and Li, C. (2019). A cross-reconstruction method for step-changed runoff series to implement frequency analysis under changing environment. Int. J. Environ. Res. Public Health, 16.","DOI":"10.3390\/ijerph16224345"},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"125197","DOI":"10.1016\/j.jhydrol.2020.125197","article-title":"Application of extreme gradient boosting and parallel random forest algorithms for assessing groundwater spring potential using DEM-derived factors","volume":"589","author":"Naghibi","year":"2020","journal-title":"J. Hydrol."},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1016\/j.geomorph.2014.09.020","article-title":"Assessment of susceptibility to earth-flow landslide using logistic regression and multivariate adaptive regression splines: A case of the Belice River basin (western Sicily, Italy)","volume":"242","author":"Conoscenti","year":"2015","journal-title":"Geomorphology"},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"1991","DOI":"10.5194\/gmd-8-1991-2015","article-title":"System for automated geoscientific analyses (SAGA) v. 2.1.4","volume":"8","author":"Conrad","year":"2015","journal-title":"Geosci. Model. Dev."},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1016\/j.jaridenv.2015.02.009","article-title":"Groundwater recharge via infiltration through an ephemeral riverbed, central Australia","volume":"117","author":"Villeneuve","year":"2015","journal-title":"J. Arid. Environ."},{"key":"ref_70","doi-asserted-by":"crossref","first-page":"1110","DOI":"10.1016\/j.scitotenv.2016.06.176","article-title":"Application of Dempster\u2013Shafer theory, spatial analysis and remote sensing for groundwater potentiality and nitrate pollution analysis in the semi-arid region of Khuzestan, Iran","volume":"568","author":"Rahmati","year":"2016","journal-title":"Sci. Total Environ."},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"350","DOI":"10.1029\/TR013i001p00350","article-title":"Drainage-basin characteristics","volume":"13","author":"Horton","year":"1932","journal-title":"Trans. Am. Geophys. Union"},{"key":"ref_72","doi-asserted-by":"crossref","first-page":"103024","DOI":"10.1016\/j.pce.2021.103024","article-title":"Spatiotemporal variation of enhanced vegetation index in the Amazon Basin and its response to climate change","volume":"123","author":"Zhong","year":"2021","journal-title":"Phys. Chem. Earth Parts ABC"},{"key":"ref_73","doi-asserted-by":"crossref","first-page":"1881","DOI":"10.1007\/s10708-020-10160-0","article-title":"Delineating of groundwater potential zones based on remote sensing, GIS and analytical hierarchical process: A case of Waddai, eastern Chad","volume":"86","author":"Elmorabiti","year":"2021","journal-title":"Geojournal"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/22\/4684\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T07:33:06Z","timestamp":1760167986000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/22\/4684"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,11,19]]},"references-count":73,"journal-issue":{"issue":"22","published-online":{"date-parts":[[2021,11]]}},"alternative-id":["rs13224684"],"URL":"https:\/\/doi.org\/10.3390\/rs13224684","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,11,19]]}}}