{"id":"https://openalex.org/W4303980706","doi":"https://doi.org/10.3390/rs14194957","title":"Assessing the Impact of Neighborhood Size on Temporal Convolutional Networks for Modeling Land Cover Change","display_name":"Assessing the Impact of Neighborhood Size on Temporal Convolutional Networks for Modeling Land Cover Change","publication_year":2022,"publication_date":"2022-10-04","ids":{"openalex":"https://openalex.org/W4303980706","doi":"https://doi.org/10.3390/rs14194957"},"language":"en","primary_location":{"id":"doi:10.3390/rs14194957","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14194957","pdf_url":"https://www.mdpi.com/2072-4292/14/19/4957/pdf?version=1665473718","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://www.mdpi.com/2072-4292/14/19/4957/pdf?version=1665473718","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5004975866","display_name":"Alysha van Duynhoven","orcid":"https://orcid.org/0000-0002-4625-5426"},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Alysha van Duynhoven","raw_affiliation_strings":["Spatial Analysis and Modeling Laboratory, Department of Geography, Simon Fraser University, 8888 University Drive, Burnaby, BC V5A1S6, Canada"],"affiliations":[{"raw_affiliation_string":"Spatial Analysis and Modeling Laboratory, Department of Geography, Simon Fraser University, 8888 University Drive, Burnaby, BC V5A1S6, Canada","institution_ids":["https://openalex.org/I18014758"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085750678","display_name":"Suzana Dragi\u0107evi\u0107","orcid":"https://orcid.org/0000-0003-4144-7530"},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Suzana Dragi\u0107evi\u0107","raw_affiliation_strings":["Spatial Analysis and Modeling Laboratory, Department of Geography, Simon Fraser University, 8888 University Drive, Burnaby, BC V5A1S6, Canada"],"affiliations":[{"raw_affiliation_string":"Spatial Analysis and Modeling Laboratory, Department of Geography, Simon Fraser University, 8888 University Drive, Burnaby, BC V5A1S6, Canada","institution_ids":["https://openalex.org/I18014758"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5004975866"],"corresponding_institution_ids":["https://openalex.org/I18014758"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":0.4534,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.61713916,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"14","issue":"19","first_page":"4957","last_page":"4957"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10226","display_name":"Land Use and Ecosystem Services","score":0.9988999962806702,"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":0.9988999962806702,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9923999905586243,"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":0.9866999983787537,"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/computer-science","display_name":"Computer science","score":0.5453642010688782},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5284186601638794},{"id":"https://openalex.org/keywords/land-cover","display_name":"Land cover","score":0.5193620324134827},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3339828848838806},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.33291590213775635},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.3293757140636444},{"id":"https://openalex.org/keywords/land-use","display_name":"Land use","score":0.2082647681236267},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1826179027557373},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1459532082080841}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5453642010688782},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5284186601638794},{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.5193620324134827},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3339828848838806},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.33291590213775635},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.3293757140636444},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.2082647681236267},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1826179027557373},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1459532082080841},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs14194957","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14194957","pdf_url":"https://www.mdpi.com/2072-4292/14/19/4957/pdf?version=1665473718","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:ab93f9917d684f6d91b46eab871dc0d1","is_oa":true,"landing_page_url":"https://doaj.org/article/ab93f9917d684f6d91b46eab871dc0d1","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 14, Iss 19, p 4957 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/14/19/4957/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs14194957","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing; Volume 14; Issue 19; Pages: 4957","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs14194957","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14194957","pdf_url":"https://www.mdpi.com/2072-4292/14/19/4957/pdf?version=1665473718","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":[],"awards":[{"id":"https://openalex.org/G1597412403","display_name":null,"funder_award_id":"RGPIN-","funder_id":"https://openalex.org/F4320334593","funder_display_name":"Natural Sciences and Engineering Research Council of Canada"},{"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/G3216283581","display_name":null,"funder_award_id":"RGPIN-201","funder_id":"https://openalex.org/F4320334593","funder_display_name":"Natural Sciences and Engineering Research Council of Canada"},{"id":"https://openalex.org/G4719048210","display_name":null,"funder_award_id":"RGPIN-2017","funder_id":"https://openalex.org/F4320334593","funder_display_name":"Natural Sciences and Engineering Research Council of Canada"},{"id":"https://openalex.org/G6221715925","display_name":null,"funder_award_id":"RGPIN","funder_id":"https://openalex.org/F4320334593","funder_display_name":"Natural Sciences and Engineering Research Council of Canada"},{"id":"https://openalex.org/G7089305364","display_name":null,"funder_award_id":"Doctoral","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"},{"id":"https://openalex.org/G8770471449","display_name":null,"funder_award_id":"RGPIN-2017-03939","funder_id":"https://openalex.org/F4320334593","funder_display_name":"Natural Sciences and Engineering Research Council of Canada"},{"id":"https://openalex.org/G8801411701","display_name":null,"funder_award_id":"PGS-D","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/W4303980706.pdf","grobid_xml":"https://content.openalex.org/works/W4303980706.grobid-xml"},"referenced_works_count":61,"referenced_works":["https://openalex.org/W1947481528","https://openalex.org/W2011500029","https://openalex.org/W2013931766","https://openalex.org/W2022925407","https://openalex.org/W2037796857","https://openalex.org/W2052615516","https://openalex.org/W2062696697","https://openalex.org/W2064675550","https://openalex.org/W2074059718","https://openalex.org/W2091316306","https://openalex.org/W2099054202","https://openalex.org/W2108268806","https://openalex.org/W2136848157","https://openalex.org/W2153820558","https://openalex.org/W2171730709","https://openalex.org/W2410883106","https://openalex.org/W2579963710","https://openalex.org/W2602023743","https://openalex.org/W2602024454","https://openalex.org/W2614256707","https://openalex.org/W2742982421","https://openalex.org/W2791525675","https://openalex.org/W2794383732","https://openalex.org/W2812669263","https://openalex.org/W2896998982","https://openalex.org/W2909177355","https://openalex.org/W2909764738","https://openalex.org/W2940726923","https://openalex.org/W2943597575","https://openalex.org/W2944681516","https://openalex.org/W2964325005","https://openalex.org/W2970440205","https://openalex.org/W2973523936","https://openalex.org/W2976506461","https://openalex.org/W2977237380","https://openalex.org/W2999585470","https://openalex.org/W3002387699","https://openalex.org/W3015879326","https://openalex.org/W3019433526","https://openalex.org/W3037870173","https://openalex.org/W3046966133","https://openalex.org/W3082025683","https://openalex.org/W3090528971","https://openalex.org/W3103753223","https://openalex.org/W3107324520","https://openalex.org/W3108999607","https://openalex.org/W3109267093","https://openalex.org/W3114429882","https://openalex.org/W3122413803","https://openalex.org/W3124539583","https://openalex.org/W3132803747","https://openalex.org/W3135150642","https://openalex.org/W3136279034","https://openalex.org/W3147991766","https://openalex.org/W3185051919","https://openalex.org/W3200814435","https://openalex.org/W3206763408","https://openalex.org/W4210751056","https://openalex.org/W4214698958","https://openalex.org/W6771982476","https://openalex.org/W6792018645"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4321487865","https://openalex.org/W4313906399","https://openalex.org/W4391266461","https://openalex.org/W2590798552","https://openalex.org/W2811106690","https://openalex.org/W4239306820","https://openalex.org/W2947043951","https://openalex.org/W4312417841","https://openalex.org/W4210874298"],"abstract_inverted_index":{"Land":[0],"cover":[1],"change":[2],"(LCC)":[3],"studies":[4,14,33],"are":[5],"increasingly":[6],"using":[7,122],"deep":[8],"learning":[9],"(DL)":[10],"modeling":[11,160],"techniques.":[12],"Past":[13],"have":[15],"leveraged":[16],"temporal":[17],"or":[18],"spatiotemporal":[19,251],"sequences":[20],"of":[21,65,75,81,102,133,141,246],"historical":[22],"LC":[23,128,171,178,186],"data":[24,61,123],"to":[25,47,54,84,109,193,214,232,242],"forecast":[26,48,85,110,215],"changes":[27],"with":[28,143,154,164],"DL":[29,44,82,211,252],"models.":[30],"However,":[31],"these":[32],"do":[34],"not":[35],"adequately":[36],"assess":[37,99],"the":[38,55,73,79,100,130,147,169,173,176,180,184,188,210,221,243],"association":[39],"between":[40],"neighborhood":[41,51,76,117,207,247],"size":[42,52,77],"and":[43,92,97,116,183],"model":[45,107,114],"capability":[46],"LCCs,":[49,86],"where":[50,168],"refers":[53],"spatial":[56,104,237],"extent":[57],"captured":[58],"by":[59],"each":[60,113],"sample.":[62],"The":[63,159],"objectives":[64],"this":[66],"research":[67],"study":[68,157,240],"were":[69,152,162,191],"to:":[70],"(1)":[71],"evaluate":[72],"effect":[74,101],"on":[78,106,249],"capacity":[80,108],"models":[83,219],"specifically":[87],"Temporal":[88],"Convolutional":[89,93],"Networks":[90,95],"(TCN)":[91],"Neural":[94],"(CNN-TCN),":[96],"(2)":[98],"auxiliary":[103],"variables":[105],"LCCs.":[111,217],"First,":[112],"type":[115],"setting":[118],"configuration":[119],"was":[120,203],"assessed":[121],"derived":[124],"from":[125],"multitemporal":[126],"MODIS":[127],"for":[129,146,172,179,187,225,254],"Regional":[131],"District":[132],"Bulkley-Nechako,":[134],"Canada,":[135],"comparing":[136],"subareas":[137],"exhibiting":[138],"different":[139],"amounts":[140],"LCCs":[142,224],"trends":[144],"obtained":[145],"full":[148],"region.":[149],"Next,":[150],"outcomes":[151],"compared":[153],"three":[155],"other":[156],"regions.":[158],"results":[161],"evaluated":[163],"three-map":[165],"comparison":[166],"measures,":[167],"real-world":[170,177],"next":[174,189],"timestep,":[175,182],"previous":[181],"forecasted":[185,220],"year":[190],"used":[192],"calculate":[194],"correctly":[195],"transitioned":[196],"areas.":[197],"Across":[198],"all":[199],"regions":[200,227],"explored,":[201],"it":[202],"observed":[204],"that":[205],"increasing":[206],"sizes":[208,248],"improved":[209],"model\u2019s":[212],"capabilities":[213],"short-term":[216],"CNN\u2013TCN":[218],"most":[222],"correct":[223],"several":[226],"while":[228],"reducing":[229],"error":[230],"due":[231],"quantity":[233],"when":[234],"provided":[235],"additional":[236],"variables.":[238],"This":[239],"contributes":[241],"systematic":[244],"exploration":[245],"selected":[250],"techniques":[253],"geographic":[255],"applications.":[256]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2022-10-10T00:00:00"}
