{"id":"https://openalex.org/W4309651987","doi":"https://doi.org/10.1145/3557915.3560953","title":"TorchGeo","display_name":"TorchGeo","publication_year":2022,"publication_date":"2022-11-01","ids":{"openalex":"https://openalex.org/W4309651987","doi":"https://doi.org/10.1145/3557915.3560953"},"language":"en","primary_location":{"id":"doi:10.1145/3557915.3560953","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3557915.3560953","pdf_url":null,"source":{"id":"https://openalex.org/S4363608995","display_name":"Proceedings of the 30th International Conference on Advances in Geographic Information Systems","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"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":"Proceedings of the 30th International Conference on Advances in Geographic Information Systems","raw_type":"proceedings-article"},"type":"article","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/A5115452829","display_name":"Adam J. Stewart","orcid":"https://orcid.org/0000-0002-0468-5006"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Adam J. Stewart","raw_affiliation_strings":["University of Illinois at Urbana-Champaign"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066063583","display_name":"Caleb Robinson","orcid":null},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Caleb Robinson","raw_affiliation_strings":["Microsoft"],"affiliations":[{"raw_affiliation_string":"Microsoft","institution_ids":["https://openalex.org/I4210164937"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035385486","display_name":"Isaac Corley","orcid":"https://orcid.org/0000-0002-9273-7303"},"institutions":[{"id":"https://openalex.org/I45438204","display_name":"The University of Texas at San Antonio","ror":"https://ror.org/01kd65564","country_code":"US","type":"education","lineage":["https://openalex.org/I45438204"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Isaac A. Corley","raw_affiliation_strings":["University of Texas at San Antonio"],"affiliations":[{"raw_affiliation_string":"University of Texas at San Antonio","institution_ids":["https://openalex.org/I45438204"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101621929","display_name":"Anthony Ortiz","orcid":"https://orcid.org/0009-0001-5722-5273"},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Anthony Ortiz","raw_affiliation_strings":["Microsoft"],"affiliations":[{"raw_affiliation_string":"Microsoft","institution_ids":["https://openalex.org/I4210164937"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025368433","display_name":"Juan Lavista Ferres","orcid":"https://orcid.org/0000-0002-9654-3178"},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Juan M. Lavista Ferres","raw_affiliation_strings":["Microsoft"],"affiliations":[{"raw_affiliation_string":"Microsoft","institution_ids":["https://openalex.org/I4210164937"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084294555","display_name":"Arindam Banerjee","orcid":"https://orcid.org/0000-0002-1309-921X"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Arindam Banerjee","raw_affiliation_strings":["University of Illinois at Urbana-Champaign"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5115452829"],"corresponding_institution_ids":["https://openalex.org/I157725225"],"apc_list":null,"apc_paid":null,"fwci":11.4175,"has_fulltext":false,"cited_by_count":54,"citation_normalized_percentile":{"value":0.98979118,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9915000200271606,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"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/T13282","display_name":"Automated Road and Building Extraction","score":0.9625999927520752,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/geospatial-analysis","display_name":"Geospatial analysis","score":0.8521496057510376},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7744529843330383},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6319590210914612},{"id":"https://openalex.org/keywords/python","display_name":"Python (programming language)","score":0.6160374879837036},{"id":"https://openalex.org/keywords/satellite-imagery","display_name":"Satellite imagery","score":0.508192777633667},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.4990527629852295},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.48581409454345703},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4775172770023346},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.46515804529190063},{"id":"https://openalex.org/keywords/metadata","display_name":"Metadata","score":0.44848570227622986},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34060192108154297},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3256175220012665},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.32169634103775024},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1631421148777008},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.161253422498703},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09744581580162048}],"concepts":[{"id":"https://openalex.org/C9770341","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Geospatial analysis","level":2,"score":0.8521496057510376},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7744529843330383},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6319590210914612},{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.6160374879837036},{"id":"https://openalex.org/C2778102629","wikidata":"https://www.wikidata.org/wiki/Q725252","display_name":"Satellite imagery","level":2,"score":0.508192777633667},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.4990527629852295},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.48581409454345703},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4775172770023346},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.46515804529190063},{"id":"https://openalex.org/C93518851","wikidata":"https://www.wikidata.org/wiki/Q180160","display_name":"Metadata","level":2,"score":0.44848570227622986},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34060192108154297},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3256175220012665},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.32169634103775024},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1631421148777008},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.161253422498703},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09744581580162048},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3557915.3560953","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3557915.3560953","pdf_url":null,"source":{"id":"https://openalex.org/S4363608995","display_name":"Proceedings of the 30th International Conference on Advances in Geographic Information Systems","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"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":"Proceedings of the 30th International Conference on Advances in Geographic Information Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.6399999856948853,"display_name":"Climate action"}],"awards":[{"id":"https://openalex.org/G7297663584","display_name":null,"funder_award_id":"OCI-0725070, ACI-1238993, IS 21-31335, OAC 21-30835, DBI 20-21898","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1976044762","https://openalex.org/W1978034823","https://openalex.org/W1980038761","https://openalex.org/W2005368619","https://openalex.org/W2008085934","https://openalex.org/W2012519352","https://openalex.org/W2038782607","https://openalex.org/W2108598243","https://openalex.org/W2128686953","https://openalex.org/W2139709933","https://openalex.org/W2592962403","https://openalex.org/W2619383789","https://openalex.org/W2626107033","https://openalex.org/W2793461576","https://openalex.org/W2891248708","https://openalex.org/W2896365540","https://openalex.org/W2906822812","https://openalex.org/W2919352650","https://openalex.org/W2936216985","https://openalex.org/W2951446574","https://openalex.org/W2963499661","https://openalex.org/W2963821229","https://openalex.org/W2964194231","https://openalex.org/W2964246847","https://openalex.org/W2982507557","https://openalex.org/W2986943971","https://openalex.org/W2991488782","https://openalex.org/W3015526299","https://openalex.org/W3025573667","https://openalex.org/W3109212767","https://openalex.org/W3176270344","https://openalex.org/W3184566187","https://openalex.org/W3188828252","https://openalex.org/W3207200417","https://openalex.org/W4214644404","https://openalex.org/W4226456028","https://openalex.org/W6889700121","https://openalex.org/W6912515347","https://openalex.org/W6946456370","https://openalex.org/W6950175931","https://openalex.org/W6965025179"],"related_works":["https://openalex.org/W4318664220","https://openalex.org/W2771047279","https://openalex.org/W4388409104","https://openalex.org/W2058118494","https://openalex.org/W2392768766","https://openalex.org/W2124951708","https://openalex.org/W1544811710","https://openalex.org/W172072032","https://openalex.org/W2006066416","https://openalex.org/W2382021449"],"abstract_inverted_index":{"Remotely":[0],"sensed":[1,53,77],"geospatial":[2,66,100,132,154,159,225],"data":[3,60,78,101,133,142,155],"are":[4,26],"critical":[5],"for":[6,29,120,130,144,152,158,178,193,223],"applications":[7],"including":[8],"precision":[9],"agriculture,":[10],"urban":[11],"planning,":[12],"disaster":[13],"monitoring":[14],"and":[15,17,47,63,92,94,110,161,218,234],"response,":[16],"climate":[18],"change":[19],"research,":[20],"among":[21],"others.":[22],"Deep":[23],"learning":[24,73,119,138,197],"methods":[25,62],"particularly":[27],"promising":[28],"modeling":[30],"many":[31],"remote":[32,121,200],"sensing":[33,122,201],"tasks":[34,46,202],"given":[35],"the":[36,48,57,69,115,135,171,189,228],"success":[37],"of":[38,51,65,71,117,147],"deep":[39,72,118,137],"neural":[40],"networks":[41],"in":[42,59,195],"similar":[43],"computer":[44],"vision":[45],"sheer":[49],"volume":[50],"remotely":[52,76],"imagery":[54,83,181,226],"available.":[55],"However,":[56],"variance":[58],"collection":[61],"handling":[64],"metadata":[67],"make":[68],"application":[70],"methodology":[74],"to":[75,98,174,210],"nontrivial.":[79],"For":[80],"example,":[81],"satellite":[82,180],"often":[84],"includes":[85],"additional":[86],"spectral":[87],"bands":[88,187],"beyond":[89],"red,":[90],"green,":[91],"blue":[93],"must":[95],"be":[96],"joined":[97],"other":[99],"sources":[102],"that":[103,163,184],"can":[104],"have":[105],"differing":[106],"coordinate":[107],"systems,":[108],"bounds,":[109],"resolutions.":[111],"To":[112],"help":[113],"realize":[114],"potential":[116],"applications,":[123],"we":[124],"introduce":[125],"TorchGeo,":[126],"a":[127,145],"Python":[128],"library":[129,173],"integrating":[131],"into":[134],"PyTorch":[136],"ecosystem.":[139],"TorchGeo":[140,168,209,230],"provides":[141],"loaders":[143],"variety":[146],"benchmark":[148,213,219],"datasets,":[149],"composable":[150],"datasets":[151,217],"generic":[153],"sources,":[156],"samplers":[157],"data,":[160],"transforms":[162],"work":[164],"with":[165,203],"multispectral":[166,179],"imagery.":[167],"is":[169,231],"also":[170],"first":[172],"provide":[175],"pre-trained":[176],"models":[177,183],"(e.g.,":[182],"use":[185,208],"all":[186],"from":[188],"Sentinel-2":[190],"satellites),":[191],"allowing":[192],"advances":[194],"transfer":[196],"on":[198,215,227,236],"downstream":[199],"limited":[204],"labeled":[205],"data.":[206],"We":[207],"create":[211],"reproducible":[212],"results":[214],"existing":[216],"our":[220],"proposed":[221],"method":[222],"preprocessing":[224],"fly.":[229],"open":[232],"source":[233],"available":[235],"GitHub:":[237],"https://github.com/microsoft/torchgeo.":[238]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":22},{"year":2023,"cited_by_count":12}],"updated_date":"2026-04-15T08:11:43.952461","created_date":"2022-11-29T00:00:00"}