{"id":"https://openalex.org/W4394034959","doi":"https://doi.org/10.5281/zenodo.8092947","title":"M3CropSeg: A Multi-platform, Multi-temporal, and Multi-resolution Remote Sensing Dataset for Crop Semantic to Instance and Dynamic Segmentation.","display_name":"M3CropSeg: A Multi-platform, Multi-temporal, and Multi-resolution Remote Sensing Dataset for Crop Semantic to Instance and Dynamic Segmentation.","publication_year":2023,"publication_date":"2023-06-01","ids":{"openalex":"https://openalex.org/W4394034959","doi":"https://doi.org/10.5281/zenodo.8092947"},"language":"en","primary_location":{"id":"doi:10.5281/zenodo.8092947","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.8092947","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dataset"},"type":"dataset","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.5281/zenodo.8092947","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5114626718","display_name":"Yang Pan","orcid":"https://orcid.org/0000-0002-6190-4340"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pan, Yang","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University 430074, China"],"raw_orcid":"https://orcid.org/0000-0002-6190-4340","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University 430074, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100352781","display_name":"Xinyu Wang","orcid":"https://orcid.org/0000-0002-0493-3954"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wang, Xinyu","raw_affiliation_strings":["School of Remote Sensing and Information Engineering, Wuhan University 430074, China"],"raw_orcid":"https://orcid.org/0000-0002-0493-3954","affiliations":[{"raw_affiliation_string":"School of Remote Sensing and Information Engineering, Wuhan University 430074, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100754351","display_name":"Yanfei Zhong","orcid":"https://orcid.org/0000-0001-9446-5850"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I4210118728","display_name":"State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing","ror":"https://ror.org/02bpap860","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210118728"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhong, Yanfei","raw_affiliation_strings":["State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University 430074, China"],"raw_orcid":"https://orcid.org/0000-0001-9446-5850","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University 430074, China","institution_ids":["https://openalex.org/I4210118728","https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.8398000001907349,"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"}},"topics":[{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.8398000001907349,"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/T10616","display_name":"Smart Agriculture and AI","score":0.8133000135421753,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T13058","display_name":"Soil and Land Suitability Analysis","score":0.758400022983551,"subfield":{"id":"https://openalex.org/subfields/2308","display_name":"Management, Monitoring, Policy and Law"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7040166854858398},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6815260052680969},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4913312494754791},{"id":"https://openalex.org/keywords/high-resolution","display_name":"High resolution","score":0.43080925941467285},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3645815849304199},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3349173665046692},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1975744664669037}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7040166854858398},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6815260052680969},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4913312494754791},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.43080925941467285},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3645815849304199},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3349173665046692},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1975744664669037}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5281/zenodo.8092947","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.8092947","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Dataset"}],"best_oa_location":{"id":"doi:10.5281/zenodo.8092947","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.8092947","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Dataset"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2121524756","https://openalex.org/W782553550","https://openalex.org/W4379231730","https://openalex.org/W1987967678","https://openalex.org/W4389858081","https://openalex.org/W2633218168","https://openalex.org/W4235897794","https://openalex.org/W2059707233","https://openalex.org/W2095126257","https://openalex.org/W2085738998"],"abstract_inverted_index":{"Earth":[0],"observation":[1],"(EO)":[2],"provides":[3],"various":[4,172],"multi-platform,":[5,108],"multi-temporal,":[6,109],"and":[7,41,56,82,98,110,134,147,156,182,198,207],"multiresolution":[8],"remote":[9,113],"sensing":[10,114],"imagery":[11],"for":[12,121,189],"dynamic":[13,42,84,135,200],"monitoring":[14,25],"of":[15,22,34,37,52,65,86,101,142,165,227],"planet":[16],"Earth,":[17],"with":[18,152,224],"a":[19,27,107,161,225],"wide":[20],"variety":[21,226],"uses.":[23],"Crop":[24],"is":[26,119],"typical":[28],"application,":[29],"which":[30],"involves":[31],"timely":[32],"gathering":[33],"the":[35,45,53,66,78,83,87,94,99,168,220],"information":[36],"crop":[38,47,68,88,115,128,154,209],"types,":[39,210],"boundaries,":[40],"changes":[43,85],"during":[44],"whole":[46],"growth":[48],"period.":[49],"However,":[50],"most":[51],"existing":[54],"datasets":[55],"benchmarks":[57,214],"focus":[58],"on":[59],"medium-resolution":[60],"(\u2265":[61],"10":[62],"m)":[63,127,146,150],"classification":[64],"main":[67],"type":[69],"by":[70],"using":[71],"satellite":[72],"image":[73],"time":[74],"series":[75],"(SITS),":[76],"where":[77],"individual":[79],"boundaries":[80],"(parcels)":[81],"cannot":[89],"be":[90],"obtained,":[91],"due":[92],"to":[93,131,202,218],"limited":[95],"spatial":[96],"resolution":[97,124],"lack":[100],"multi-season":[102,208],"annotation.":[103],"In":[104],"this":[105],"paper,":[106],"multi-resolution":[111],"(M3)":[112],"segmentation":[116,130,133],"dataset":[117],"(M3CropSeg)":[118],"introduced":[120],"very":[122],"high":[123],"(VHR,":[125],"1":[126],"semantic":[129,193],"instance":[132,158,196],"segmentation.":[136],"Specifically,":[137],"M3CropSeg":[138,170],"contains":[139],"16311":[140],"pairs":[141],"airborne":[143],"VHR":[144],"(1":[145],"SITS":[148],"(10":[149],"images,":[151],"45":[153],"types":[155],"101k":[157],"annotations,":[159],"covering":[160],"26,000":[162],"km2":[163],"area":[164],"California":[166],"in":[167],"U.S.":[169],"has":[171],"challenges,":[173,222],"including":[174],"M3":[175,192,195,199],"data":[176],"fusion,":[177],"class":[178],"imbalance,":[179],"fine-grained":[180],"classification,":[181],"multilabel":[183],"classification.":[184],"Three":[185],"tracks":[186],"are":[187,215],"designed":[188],"M3CropSeg,":[190],"i.e.,":[191],"segmentation,":[194,197,201],"obtain":[203],"high-resolution":[204],"pixel-level,":[205],"parcel-level,":[206],"respectively.":[211],"The":[212],"corresponding":[213],"also":[216],"provided":[217],"address":[219],"above":[221],"along":[223],"experimental":[228],"analyses.":[229]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2025-10-10T00:00:00"}
