{"id":"https://openalex.org/W4404636475","doi":"https://doi.org/10.3390/rs16234372","title":"An Approach to Predicting Urban Carbon Stock Using a Self-Attention Convolutional Long Short-Term Memory Network Model: A Case Study in Wuhan Urban Circle","display_name":"An Approach to Predicting Urban Carbon Stock Using a Self-Attention Convolutional Long Short-Term Memory Network Model: A Case Study in Wuhan Urban Circle","publication_year":2024,"publication_date":"2024-11-22","ids":{"openalex":"https://openalex.org/W4404636475","doi":"https://doi.org/10.3390/rs16234372"},"language":"en","primary_location":{"id":"doi:10.3390/rs16234372","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16234372","pdf_url":null,"source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.3390/rs16234372","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026460017","display_name":"Zhi Gang Zhou","orcid":"https://orcid.org/0000-0001-8064-3273"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhi Zhou","raw_affiliation_strings":["School of Geophysics and Geomatics, China University of Geosciences, Wuhan 430074, China"],"affiliations":[{"raw_affiliation_string":"School of Geophysics and Geomatics, China University of Geosciences, Wuhan 430074, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102008239","display_name":"Xueling Wu","orcid":"https://orcid.org/0000-0001-5125-472X"},"institutions":[{"id":"https://openalex.org/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"government","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xueling Wu","raw_affiliation_strings":["Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen 518034, China","School of Geophysics and Geomatics, China University of Geosciences, Wuhan 430074, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen 518034, China","institution_ids":["https://openalex.org/I211433327"]},{"raw_affiliation_string":"School of Geophysics and Geomatics, China University of Geosciences, Wuhan 430074, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048685847","display_name":"Bo Peng","orcid":"https://orcid.org/0009-0004-6951-8980"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Peng","raw_affiliation_strings":["School of Geophysics and Geomatics, China University of Geosciences, Wuhan 430074, China"],"affiliations":[{"raw_affiliation_string":"School of Geophysics and Geomatics, China University of Geosciences, Wuhan 430074, China","institution_ids":["https://openalex.org/I3124059619"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5102008239"],"corresponding_institution_ids":["https://openalex.org/I211433327","https://openalex.org/I3124059619"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":0.2828,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.59868128,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"16","issue":"23","first_page":"4372","last_page":"4372"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10226","display_name":"Land Use and Ecosystem Services","score":0.9983000159263611,"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/T10226","display_name":"Land Use and Ecosystem Services","score":0.9983000159263611,"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/T10779","display_name":"Coastal wetland ecosystem dynamics","score":0.9814000129699707,"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/T10766","display_name":"Urban Heat Island Mitigation","score":0.9277999997138977,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/arable-land","display_name":"Arable land","score":0.6118286848068237},{"id":"https://openalex.org/keywords/stock","display_name":"Stock (firearms)","score":0.6058149933815002},{"id":"https://openalex.org/keywords/carbon-stock","display_name":"Carbon stock","score":0.5190082788467407},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4774746894836426},{"id":"https://openalex.org/keywords/urbanization","display_name":"Urbanization","score":0.4769764840602875},{"id":"https://openalex.org/keywords/cellular-automaton","display_name":"Cellular automaton","score":0.4695601761341095},{"id":"https://openalex.org/keywords/urban-construction","display_name":"Urban construction","score":0.4432617425918579},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.4214232265949249},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.25595909357070923},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.2417885959148407},{"id":"https://openalex.org/keywords/agriculture","display_name":"Agriculture","score":0.22856435179710388},{"id":"https://openalex.org/keywords/climate-change","display_name":"Climate change","score":0.09307575225830078},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.08906787633895874},{"id":"https://openalex.org/keywords/environmental-planning","display_name":"Environmental planning","score":0.08900105953216553},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.0800914466381073}],"concepts":[{"id":"https://openalex.org/C71762439","wikidata":"https://www.wikidata.org/wiki/Q843920","display_name":"Arable land","level":3,"score":0.6118286848068237},{"id":"https://openalex.org/C204036174","wikidata":"https://www.wikidata.org/wiki/Q909380","display_name":"Stock (firearms)","level":2,"score":0.6058149933815002},{"id":"https://openalex.org/C2994081031","wikidata":"https://www.wikidata.org/wiki/Q1049066","display_name":"Carbon stock","level":3,"score":0.5190082788467407},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4774746894836426},{"id":"https://openalex.org/C39853841","wikidata":"https://www.wikidata.org/wiki/Q161078","display_name":"Urbanization","level":2,"score":0.4769764840602875},{"id":"https://openalex.org/C35527583","wikidata":"https://www.wikidata.org/wiki/Q189156","display_name":"Cellular automaton","level":2,"score":0.4695601761341095},{"id":"https://openalex.org/C2992168405","wikidata":"https://www.wikidata.org/wiki/Q7900108","display_name":"Urban construction","level":2,"score":0.4432617425918579},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.4214232265949249},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25595909357070923},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2417885959148407},{"id":"https://openalex.org/C118518473","wikidata":"https://www.wikidata.org/wiki/Q11451","display_name":"Agriculture","level":2,"score":0.22856435179710388},{"id":"https://openalex.org/C132651083","wikidata":"https://www.wikidata.org/wiki/Q7942","display_name":"Climate change","level":2,"score":0.09307575225830078},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.08906787633895874},{"id":"https://openalex.org/C91375879","wikidata":"https://www.wikidata.org/wiki/Q15473274","display_name":"Environmental planning","level":1,"score":0.08900105953216553},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0800914466381073},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/rs16234372","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16234372","pdf_url":null,"source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:04b35a9783a448688fd02efe7a54fe10","is_oa":true,"landing_page_url":"https://doaj.org/article/04b35a9783a448688fd02efe7a54fe10","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 16, Iss 23, p 4372 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/rs16234372","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16234372","pdf_url":null,"source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.8299999833106995}],"awards":[{"id":"https://openalex.org/G5675641395","display_name":null,"funder_award_id":"42071429","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7794128146","display_name":null,"funder_award_id":"KF-2023-08-19","funder_id":"https://openalex.org/F4320322643","funder_display_name":"Ministry of Land and Resources of the People's Republic of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322643","display_name":"Ministry of Land and Resources of the People's Republic of China","ror":"https://ror.org/02kxqx159"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":67,"referenced_works":["https://openalex.org/W1215808992","https://openalex.org/W1485009520","https://openalex.org/W1967814859","https://openalex.org/W2045505889","https://openalex.org/W2064616890","https://openalex.org/W2073852578","https://openalex.org/W2124732664","https://openalex.org/W2134086511","https://openalex.org/W2147924102","https://openalex.org/W2149732377","https://openalex.org/W2158040348","https://openalex.org/W2190761490","https://openalex.org/W2557214682","https://openalex.org/W2765729774","https://openalex.org/W2806778381","https://openalex.org/W2883893555","https://openalex.org/W2899452179","https://openalex.org/W2918527903","https://openalex.org/W2945701688","https://openalex.org/W2970378036","https://openalex.org/W2984019541","https://openalex.org/W2986762838","https://openalex.org/W2991559313","https://openalex.org/W2996936831","https://openalex.org/W2997884280","https://openalex.org/W3001417454","https://openalex.org/W3002335888","https://openalex.org/W3014632484","https://openalex.org/W3015313184","https://openalex.org/W3018400452","https://openalex.org/W3024827649","https://openalex.org/W3041874307","https://openalex.org/W3046476263","https://openalex.org/W3047107171","https://openalex.org/W3102103361","https://openalex.org/W3118989098","https://openalex.org/W3158079936","https://openalex.org/W3163140961","https://openalex.org/W3173814450","https://openalex.org/W3176527959","https://openalex.org/W3186527474","https://openalex.org/W3188524028","https://openalex.org/W3205589517","https://openalex.org/W4200114668","https://openalex.org/W4206136006","https://openalex.org/W4206444849","https://openalex.org/W4206914550","https://openalex.org/W4210778689","https://openalex.org/W4225638026","https://openalex.org/W4236187186","https://openalex.org/W4244680812","https://openalex.org/W4282826865","https://openalex.org/W4282944488","https://openalex.org/W4283743401","https://openalex.org/W4289516326","https://openalex.org/W4296220078","https://openalex.org/W4313259277","https://openalex.org/W4317436695","https://openalex.org/W4319946792","https://openalex.org/W4384298129","https://openalex.org/W4386795735","https://openalex.org/W4389206943","https://openalex.org/W4389997655","https://openalex.org/W4403737802","https://openalex.org/W6627864924","https://openalex.org/W6826510985","https://openalex.org/W6874366523"],"related_works":["https://openalex.org/W2350388550","https://openalex.org/W2356664679","https://openalex.org/W2358038760","https://openalex.org/W2385417666","https://openalex.org/W2354317594","https://openalex.org/W2377714506","https://openalex.org/W2355746248","https://openalex.org/W2026040010","https://openalex.org/W2380476500","https://openalex.org/W1965449042"],"abstract_inverted_index":{"To":[0],"achieve":[1],"the":[2,13,38,50,57,76,94,98,112,136,152,156,183,187,193,201,208,224,234,241,257,284,300,331],"regional":[3],"goal":[4],"of":[5,54,97,138,168,175,204,226,236,264,334],"\u201cdouble":[6],"carbon\u201d,":[7],"it":[8],"is":[9,182],"necessary":[10],"to":[11,111,150,179,199,214,223,238],"map":[12],"carbon":[14,62,69,79,153,190,205,254,297,339],"stock":[15,63,70,80,154,191,206,255,298,340],"prediction":[16,65,116],"for":[17,125,186,249,292,325,352],"a":[18,24,30,61,68,161,322],"wide":[19],"area":[20,159,211],"accurately":[21],"and":[22,32,42,74,82,100,106,124,134,144,267,274,281,307,345,348],"in":[23,155,189,192,207,253,296],"timely":[25],"fashion.":[26],"This":[27,47,311],"paper":[28,48],"introduces":[29],"long-":[31],"short-term":[33],"memory":[34],"network":[35],"algorithm":[36],"called":[37],"Self-Attention":[39],"Convolutional":[40],"Long":[41],"Short-Term":[43],"Memory":[44],"Network":[45],"(SA-ConvLSTM).":[46],"takes":[49],"Wuhan":[51,157,194,209],"urban":[52,87,158,195,210],"circle":[53],"China":[55],"as":[56,130,321],"research":[58],"object,":[59],"establishes":[60],"AI":[64],"model,":[66],"constructs":[67],"change":[71,81,85,337,341],"evaluation":[72],"system,":[73],"investigates":[75],"correlation":[77],"between":[78],"land":[83,177,327,335],"use":[84,317,328,336],"during":[86],"expansion.":[88],"The":[89,173],"results":[90],"demonstrate":[91],"that":[92,248,291,314],"(1)":[93],"overall":[95,166],"accuracy":[96,137],"ConvLSTM":[99],"SA-ConvLSTM":[101,139],"models":[102],"improved":[103],"by":[104,141,216,233,272,304],"4.68%":[105],"4.70%,":[107],"respectively,":[108],"when":[109],"compared":[110],"traditional":[113],"metacellular":[114],"automata":[115],"methods":[117],"(OS-CA,":[118],"Open":[119],"Space":[120],"Cellular":[121],"Automata":[122],"Model),":[123],"small":[126],"sample":[127],"categories":[128],"such":[129],"barren":[131],"land,":[132,231],"shrubs,":[133],"grassland,":[135],"increased":[140],"17.15%,":[142],"43.12%,":[143],"51.37%,":[145],"respectively;":[146],"(2)":[147],"from":[148,342],"1999":[149],"2018,":[151],"showed":[160],"decreasing":[162],"trend,":[163],"with":[164],"an":[165],"decrease":[167,188,252],"6.49":[169],"\u00d7":[170,218],"106":[171],"MgC.":[172],"encroachment":[174],"arable":[176,230],"due":[178,222],"rapid":[180],"urbanization":[181],"main":[184],"reason":[185],"area.":[196],"From":[197],"2018":[198],"2023,":[200],"predicted":[202],"value":[203],"was":[212],"expected":[213],"increase":[215,271,295,303],"9.17":[217],"104":[219],"MgC,":[220],"mainly":[221],"conversion":[225],"water":[227,265,282],"bodies":[228,266],"into":[229],"followed":[232],"return":[235],"cropland":[237],"forest;":[239],"(3)":[240],"historical":[242,344],"spatial":[243,286],"error":[244,287],"model":[245,288],"(SEM)":[246,289],"indicates":[247],"each":[250,293],"unit":[251,294],"change,":[256,299],"Single":[258],"Land":[259],"Use":[260],"Dynamic":[261],"Degree":[262],"(SLUDD)":[263],"impervious":[268],"surfaces":[269],"will":[270],"119":[273],"33":[275],"units,":[276,309],"respectively.":[277,310],"For":[278],"forests,":[279],"grasslands,":[280],"bodies,":[283],"future":[285,346],"indicated":[290],"SLUDD":[301],"would":[302],"55,":[305],"7,":[306],"\u2212305":[308],"study":[312],"demonstrates":[313],"we":[315],"can":[316],"deep":[318],"neural":[319],"networks":[320],"new":[323],"method":[324],"predicting":[326],"expansion,":[329],"revealing":[330],"key":[332],"impacts":[333],"on":[338],"both":[343],"perspectives":[347],"providing":[349],"valuable":[350],"insights":[351],"policymakers.":[353]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}