{"id":"https://openalex.org/W3207635303","doi":"https://doi.org/10.1109/igarss47720.2021.9554784","title":"Estimating Local-Scale Groundwater Withdrawals Using Integrated Remote Sensing Products and Deep Learning","display_name":"Estimating Local-Scale Groundwater Withdrawals Using Integrated Remote Sensing Products and Deep Learning","publication_year":2021,"publication_date":"2021-07-11","ids":{"openalex":"https://openalex.org/W3207635303","doi":"https://doi.org/10.1109/igarss47720.2021.9554784","mag":"3207635303"},"language":"en","primary_location":{"id":"doi:10.1109/igarss47720.2021.9554784","doi":"https://doi.org/10.1109/igarss47720.2021.9554784","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss47720.2021.9554784","pdf_url":null,"source":{"id":"https://openalex.org/S4363604196","display_name":"IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042570237","display_name":"Sayantan Majumdar","orcid":"https://orcid.org/0000-0002-3539-0147","observed_orcids":["https://orcid.org/0000-0002-3539-0147"]},"institutions":[{"id":"https://openalex.org/I20382870","display_name":"Missouri University of Science and Technology","ror":"https://ror.org/00scwqd12","country_code":"US","type":"education","lineage":["https://openalex.org/I20382870"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sayantan Majumdar","raw_affiliation_strings":["Missouri University of Science and Technology, Rolla, MO, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Missouri University of Science and Technology, Rolla, MO, USA","institution_ids":["https://openalex.org/I20382870"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088548023","display_name":"Ryan Smith","orcid":"https://orcid.org/0000-0002-3747-6868","observed_orcids":["https://orcid.org/0000-0002-3747-6868"]},"institutions":[{"id":"https://openalex.org/I20382870","display_name":"Missouri University of Science and Technology","ror":"https://ror.org/00scwqd12","country_code":"US","type":"education","lineage":["https://openalex.org/I20382870"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ryan Smith","raw_affiliation_strings":["Missouri University of Science and Technology, Rolla, MO, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Missouri University of Science and Technology, Rolla, MO, USA","institution_ids":["https://openalex.org/I20382870"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019534575","display_name":"Brian D. Conway","orcid":"https://orcid.org/0009-0004-4639-6482","observed_orcids":["https://orcid.org/0009-0004-4639-6482"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Brian D. Conway","raw_affiliation_strings":["Arizona Department of Water Resources,Phoenix,AZ,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Arizona Department of Water Resources,Phoenix,AZ,USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040237188","display_name":"James J. Butler","orcid":"https://orcid.org/0000-0002-6682-266X","observed_orcids":["https://orcid.org/0000-0002-6682-266X"]},"institutions":[{"id":"https://openalex.org/I146416000","display_name":"University of Kansas","ror":"https://ror.org/001tmjg57","country_code":"US","type":"education","lineage":["https://openalex.org/I146416000"]},{"id":"https://openalex.org/I4402554214","display_name":"Kansas Geological Survey","ror":"https://ror.org/04mxhn923","country_code":"US","type":"facility","lineage":["https://openalex.org/I146416000","https://openalex.org/I4402554214"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"James J. Butler","raw_affiliation_strings":["Kansas Geological Survey, University of Kansas, Lawrence, KS, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kansas Geological Survey, University of Kansas, Lawrence, KS, USA","institution_ids":["https://openalex.org/I146416000","https://openalex.org/I4402554214"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075390584","display_name":"V. Lakshmi","orcid":"https://orcid.org/0000-0001-7431-9004","observed_orcids":["https://orcid.org/0000-0001-7431-9004"]},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Venkataraman Lakshmi","raw_affiliation_strings":["University of Virginia, Charlottesville, VA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Virginia, Charlottesville, VA, USA","institution_ids":["https://openalex.org/I51556381"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005856894","display_name":"Ci\u0307han H. Da\u011fli","orcid":"https://orcid.org/0000-0003-4919-1699","observed_orcids":["https://orcid.org/0000-0003-4919-1699"]},"institutions":[{"id":"https://openalex.org/I20382870","display_name":"Missouri University of Science and Technology","ror":"https://ror.org/00scwqd12","country_code":"US","type":"education","lineage":["https://openalex.org/I20382870"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Cihan H. Dagli","raw_affiliation_strings":["Missouri University of Science and Technology, Rolla, MO, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Missouri University of Science and Technology, Rolla, MO, USA","institution_ids":["https://openalex.org/I20382870"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.1219,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.860587,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"4304","last_page":"4307"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11490","display_name":"Hydrological Forecasting Using AI","score":0.5859000086784363,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11490","display_name":"Hydrological Forecasting Using AI","score":0.5859000086784363,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11312","display_name":"Soil Moisture and Remote Sensing","score":0.12120000272989273,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10398","display_name":"Groundwater and Isotope Geochemistry","score":0.08259999752044678,"subfield":{"id":"https://openalex.org/subfields/1906","display_name":"Geochemistry and Petrology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/groundwater-extraction","display_name":"groundwater pumping","score":0.9110000133514404},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"remote sensing","score":0.5979999899864197},{"id":"https://openalex.org/keywords/deep-learning","display_name":"deep learning","score":0.9919999837875366},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"ensemble learning","score":0.9419999718666077},{"id":"https://openalex.org/keywords/groundwater-management","display_name":"groundwater management","score":0.6019999980926514},{"id":"https://openalex.org/keywords/arizona","display_name":"Arizona","score":0.6019999980926514},{"id":"https://openalex.org/keywords/kansas","display_name":"Kansas","score":0.9829999804496765},{"id":"https://openalex.org/keywords/arid-and-semi-arid-regions","display_name":"arid and semi-arid regions","score":0.8190000057220459},{"id":"https://openalex.org/keywords/water-energy-food-nexus","display_name":"water-energy-food nexus","score":0.7239999771118164}],"concepts":[{"id":"https://openalex.org/C76177295","wikidata":"https://www.wikidata.org/wiki/Q161598","display_name":"Groundwater","level":2,"score":0.8077301979064941},{"id":"https://openalex.org/C150772632","wikidata":"https://www.wikidata.org/wiki/Q1330709","display_name":"Arid","level":2,"score":0.6100311279296875},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.6093589067459106},{"id":"https://openalex.org/C75622301","wikidata":"https://www.wikidata.org/wiki/Q208791","display_name":"Aquifer","level":3,"score":0.6002272367477417},{"id":"https://openalex.org/C153823671","wikidata":"https://www.wikidata.org/wiki/Q1049799","display_name":"Water resources","level":2,"score":0.42330485582351685},{"id":"https://openalex.org/C524765639","wikidata":"https://www.wikidata.org/wiki/Q1501619","display_name":"Water resource management","level":1,"score":0.39328262209892273},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3795275092124939},{"id":"https://openalex.org/C76886044","wikidata":"https://www.wikidata.org/wiki/Q2883300","display_name":"Hydrology (agriculture)","level":2,"score":0.3783343732357025},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.16244372725486755},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C187320778","wikidata":"https://www.wikidata.org/wiki/Q1349130","display_name":"Geotechnical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss47720.2021.9554784","doi":"https://doi.org/10.1109/igarss47720.2021.9554784","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss47720.2021.9554784","pdf_url":null,"source":{"id":"https://openalex.org/S4363604196","display_name":"IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Clean water and sanitation","id":"https://metadata.un.org/sdg/6","score":0.9085000157356262},{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.5351999998092651}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1594031697","https://openalex.org/W1981509981","https://openalex.org/W2056132907","https://openalex.org/W2228786559","https://openalex.org/W2295598076","https://openalex.org/W2402144811","https://openalex.org/W2557283755","https://openalex.org/W2807141051","https://openalex.org/W2988774311","https://openalex.org/W2992734825","https://openalex.org/W3033607704","https://openalex.org/W3094122424","https://openalex.org/W3102476541"],"related_works":["https://openalex.org/W3094122424","https://openalex.org/W6922586171","https://openalex.org/W7220962574","https://openalex.org/W7168038897","https://openalex.org/W6922639655","https://openalex.org/W4412798209","https://openalex.org/W4394620604","https://openalex.org/W2103582603","https://openalex.org/W2075888454","https://openalex.org/W3182884029"],"abstract_inverted_index":{"Groundwater":[0],"plays":[1],"a":[2,62],"critical":[3],"role":[4],"in":[5,32,82,105],"the":[6,20,76,83,116],"water-":[7],"food-energy":[8],"nexus":[9],"and":[10,16,80,90,107,110,118,134,144],"extensively":[11],"supports":[12],"global":[13],"drinking":[14],"water":[15],"food":[17],"production.":[18],"Despite":[19],"pressing":[21],"demands":[22],"for":[23,47,66],"groundwater":[24,26,50,68,95,138],"resources,":[25],"withdrawals":[27,42,69,139],"are":[28,38],"not":[29],"actively":[30],"monitored":[31],"most":[33],"regions.":[34],"Thus,":[35],"reliable":[36],"methods":[37],"required":[39],"to":[40],"estimate":[41,136],"at":[43,70],"local":[44],"scales":[45],"suitable":[46],"implementing":[48],"sustainable":[49],"management":[51],"practices.":[52],"Here,":[53],"we":[54,131],"combine":[55],"publicly":[56],"available":[57],"remote":[58],"sensing":[59],"datasets":[60],"into":[61],"deep":[63,91],"learning":[64,89,92],"framework":[65],"estimating":[67],"high":[71],"resolution":[72],"(5":[73],"km)":[74],"over":[75],"states":[77],"of":[78,120,126],"Arizona":[79],"Kansas":[81],"USA.":[84],"We":[85],"compare":[86],"ensemble":[87],"machine":[88],"algorithms":[93],"using":[94],"pumping":[96],"data":[97],"from":[98],"2002\u20132019.":[99],"Our":[100],"research":[101],"shows":[102],"promising":[103],"results":[104],"sub-humid":[106],"semi-arid":[108],"(Kansas)":[109],"arid":[111],"(Arizona)":[112],"regions,":[113],"which":[114],"demonstrates":[115],"robustness":[117],"extensibility":[119],"this":[121,127],"integrated":[122],"approach.":[123],"The":[124],"success":[125],"method":[128],"indicates":[129],"that":[130],"can":[132],"effectively":[133],"accurately":[135],"local-scale":[137],"under":[140],"different":[141],"climatic":[142],"conditions":[143],"aquifer":[145],"properties.":[146]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2026-10-27T15:51:10.671819","created_date":"2021-10-25T00:00:00"}
