{"id":"https://openalex.org/W4412875516","doi":"https://doi.org/10.1145/3711896.3737415","title":"MethaneS2CM: A Dataset for Multispectral Deep Methane Emission Detection","display_name":"MethaneS2CM: A Dataset for Multispectral Deep Methane Emission Detection","publication_year":2025,"publication_date":"2025-08-03","ids":{"openalex":"https://openalex.org/W4412875516","doi":"https://doi.org/10.1145/3711896.3737415"},"language":"en","primary_location":{"id":"doi:10.1145/3711896.3737415","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3711896.3737415","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3711896.3737415","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3711896.3737415","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5107909617","display_name":"Hongxuan Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Hongxuan Liu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090525883","display_name":"Juliana Y. Leung","orcid":"https://orcid.org/0000-0001-7606-034X"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Juliana Y. Leung","raw_affiliation_strings":["Department of Civil and Environmental Engineering, University of Alberta, Edmonton, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Civil and Environmental Engineering, University of Alberta, Edmonton, Canada","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032424832","display_name":"Di Niu","orcid":"https://orcid.org/0000-0002-5250-7327"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Di Niu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada","institution_ids":["https://openalex.org/I154425047"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5107909617"],"corresponding_institution_ids":["https://openalex.org/I154425047"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18158989,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5640","last_page":"5651"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11588","display_name":"Atmospheric and Environmental Gas Dynamics","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"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/T11588","display_name":"Atmospheric and Environmental Gas Dynamics","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9908999800682068,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/T11284","display_name":"Coal Properties and Utilization","score":0.9753999710083008,"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/multispectral-image","display_name":"Multispectral image","score":0.8843318819999695},{"id":"https://openalex.org/keywords/methane","display_name":"Methane","score":0.5727885961532593},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5592789649963379},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.48698505759239197},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44744616746902466},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.3508910536766052},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.19231706857681274},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.06916388869285583}],"concepts":[{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.8843318819999695},{"id":"https://openalex.org/C516920438","wikidata":"https://www.wikidata.org/wiki/Q37129","display_name":"Methane","level":2,"score":0.5727885961532593},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5592789649963379},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.48698505759239197},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44744616746902466},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.3508910536766052},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.19231706857681274},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.06916388869285583},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3711896.3737415","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3711896.3737415","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3711896.3737415","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3711896.3737415","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3711896.3737415","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3711896.3737415","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Climate action","score":0.41999998688697815,"id":"https://metadata.un.org/sdg/13"}],"awards":[{"id":"https://openalex.org/G2165548363","display_name":null,"funder_award_id":"Canada","funder_id":"https://openalex.org/F4320334593","funder_display_name":"Natural Sciences and Engineering Research Council of Canada"},{"id":"https://openalex.org/G8284766523","display_name":null,"funder_award_id":"(NSERC)","funder_id":"https://openalex.org/F4320334593","funder_display_name":"Natural Sciences and Engineering Research Council of Canada"}],"funders":[{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412875516.pdf","grobid_xml":"https://content.openalex.org/works/W4412875516.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W1662323679","https://openalex.org/W2117539524","https://openalex.org/W2187089797","https://openalex.org/W2194775991","https://openalex.org/W2945911940","https://openalex.org/W2962858109","https://openalex.org/W2963155035","https://openalex.org/W2963524571","https://openalex.org/W2989983865","https://openalex.org/W3018231055","https://openalex.org/W3113176484","https://openalex.org/W3147179755","https://openalex.org/W3163227315","https://openalex.org/W3197374825","https://openalex.org/W4210244531","https://openalex.org/W4210800473","https://openalex.org/W4214666412","https://openalex.org/W4220936840","https://openalex.org/W4221056521","https://openalex.org/W4281933899","https://openalex.org/W4282558612","https://openalex.org/W4286233797","https://openalex.org/W4318055106","https://openalex.org/W4375949803","https://openalex.org/W4381572142","https://openalex.org/W4385541303","https://openalex.org/W4385547075","https://openalex.org/W4386075895","https://openalex.org/W4388764555","https://openalex.org/W4396633219","https://openalex.org/W4396895240","https://openalex.org/W4402534498","https://openalex.org/W6929534826","https://openalex.org/W6942564693"],"related_works":["https://openalex.org/W4318664220","https://openalex.org/W2771047279","https://openalex.org/W4388409104","https://openalex.org/W2124951708","https://openalex.org/W1544811710","https://openalex.org/W172072032","https://openalex.org/W2006066416","https://openalex.org/W3157073418","https://openalex.org/W2021642829","https://openalex.org/W2058127401"],"abstract_inverted_index":{"The":[0,44,204],"detection":[1,77,240],"of":[2,15,116,147,183,190,219,236],"methane":[3,12,42,69,75,89,168,238,253],"emissions":[4],"has":[5],"drawn":[6],"significant":[7],"attention":[8],"from":[9,114,172,196,200],"researchers,":[10],"as":[11,56,129],"is":[13,48,269],"one":[14],"the":[16,68,135,145,164,177],"main":[17,185],"contributors":[18],"to":[19,23,54,141,202,231],"global":[20],"warming.":[21],"Due":[22],"their":[24],"high":[25],"accessibility":[26],"and":[27,111,153,176,188,209,242],"extensive":[28,229],"coverage,":[29],"satellite-based":[30],"remote":[31],"sensing":[32],"data":[33,64,80,109,175],"have":[34],"become":[35],"a":[36,125,130,233,251],"widely":[37],"used":[38],"tool":[39],"for":[40,51,167],"studying":[41],"emissions.":[43],"multispectral":[45,174],"satellite":[46],"Sentinel-2":[47,79,95,102,173,213],"particularly":[49],"prominent":[50],"studies":[52,73,121],"related":[53],"methane,":[55],"it":[57],"provides":[58],"shortwave":[59],"infrared":[60],"(SWIR)":[61],"spectral":[62],"band":[63],"that":[65,101,261],"align":[66],"with":[67,104,134,215],"absorption":[70],"line.":[71],"Previous":[72],"on":[74,83,93,245],"emission":[76,90,169,239,254],"using":[78],"rely":[81],"mainly":[82],"synthetic":[84],"data,":[85],"which":[86,138],"involves":[87],"simulated":[88,105],"plumes":[91,106,195],"overlaid":[92],"real":[94],"backgrounds.":[96],"However,":[97],"our":[98],"analysis":[99],"reveals":[100],"images":[103,220],"exhibit":[107],"different":[108,223],"distributions":[110],"visual":[112],"characteristics":[113],"those":[115],"real-world":[117],"data.":[118],"Moreover,":[119],"these":[120,160],"typically":[122],"use":[123],"only":[124],"single":[126],"reference":[127],"image":[128],"clean":[131],"background":[132],"along":[133],"plume":[136],"image,":[137],"we":[139,162,227],"find":[140],"be":[142],"insufficient.":[143],"Finally,":[144],"lack":[146],"publicly":[148,270],"available":[149,271],"benchmarks":[150],"hinders":[151],"research":[152],"development":[154],"in":[155,212],"this":[156,246],"domain.":[157],"To":[158],"address":[159],"challenges,":[161],"introduce":[163],"MethaneS2CM":[165],"dataset":[166,181,205,268],"detection,":[170],"collected":[171],"CarbonMapper":[178],"platform.":[179],"Our":[180,267],"consists":[182],"two":[184],"products":[186],"(L1C":[187],"L2A)":[189],"Sentinel-2,":[191],"including":[192],"over":[193],"4000":[194],"43":[197],"countries,":[198],"ranging":[199],"2016":[201],"2024.":[203],"incorporates":[206],"both":[207],"long-term":[208],"short-term":[210],"variations":[211],"images,":[214],"each":[216],"sample":[217],"consisting":[218],"captured":[221],"at":[222,272],"time":[224],"periods.":[225],"Furthermore,":[226],"conduct":[228],"experiments":[230],"evaluate":[232],"wide":[234],"range":[235],"existing":[237],"methods":[241],"models":[243],"based":[244],"dataset.":[247],"We":[248],"subsequently":[249],"propose":[250],"deep":[252],"classification":[255],"model,":[256],"MEECNet.":[257],"Experimental":[258],"results":[259],"demonstrate":[260],"MEECNet":[262],"outperforms":[263],"all":[264],"baseline":[265],"methods.":[266],"https://huggingface.co/datasets/H1deaki/MethaneS2CM.":[273]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
