{"id":"https://openalex.org/W4389730487","doi":"https://doi.org/10.1080/15481603.2023.2282238","title":"A robust gap-filling method for predicting missing observations in daily Black Marble nighttime light data","display_name":"A robust gap-filling method for predicting missing observations in daily Black Marble nighttime light data","publication_year":2023,"publication_date":"2023-12-14","ids":{"openalex":"https://openalex.org/W4389730487","doi":"https://doi.org/10.1080/15481603.2023.2282238"},"language":"en","primary_location":{"id":"doi:10.1080/15481603.2023.2282238","doi":"https://doi.org/10.1080/15481603.2023.2282238","is_oa":true,"landing_page_url":"https://doi.org/10.1080/15481603.2023.2282238","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/15481603.2023.2282238?needAccess=true","source":{"id":"https://openalex.org/S7804318","display_name":"GIScience & Remote Sensing","issn_l":"1548-1603","issn":["1548-1603","1943-7226"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","dongbi-b","jufo-1","norway-1","oarl","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GIScience &amp; Remote Sensing","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.tandfonline.com/doi/pdf/10.1080/15481603.2023.2282238?needAccess=true","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5049532209","display_name":"Xiangyu Hao","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I3125743391","display_name":"China University of Geosciences (Beijing)","ror":"https://ror.org/04q6c7p66","country_code":"CN","type":"education","lineage":["https://openalex.org/I3125743391"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangyu Hao","raw_affiliation_strings":["School of Information Engineering, China University of Geosciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, China University of Geosciences, Beijing, China","institution_ids":["https://openalex.org/I3125743391"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018379453","display_name":"Jinxiu Liu","orcid":"https://orcid.org/0009-0001-3820-8195","observed_orcids":["https://orcid.org/0009-0001-3820-8195","https://orcid.org/0009-0001-2915-7402"]},"institutions":[{"id":"https://openalex.org/I3125743391","display_name":"China University of Geosciences (Beijing)","ror":"https://ror.org/04q6c7p66","country_code":"CN","type":"education","lineage":["https://openalex.org/I3125743391"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jinxiu Liu","raw_affiliation_strings":["School of Information Engineering, China University of Geosciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Engineering, China University of Geosciences, Beijing, China","institution_ids":["https://openalex.org/I3125743391"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002576056","display_name":"Janne Heiskanen","orcid":"https://orcid.org/0000-0002-3899-8860","observed_orcids":["https://orcid.org/0000-0002-3899-8860"]},"institutions":[{"id":"https://openalex.org/I133731052","display_name":"University of Helsinki","ror":"https://ror.org/040af2s02","country_code":"FI","type":"education","lineage":["https://openalex.org/I133731052"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Janne Heiskanen","raw_affiliation_strings":["Department of Geosciences and Geography, University of Helsinki, Helsinki, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Geosciences and Geography, University of Helsinki, Helsinki, Finland","institution_ids":["https://openalex.org/I133731052"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009535742","display_name":"Eduardo Eiji Maeda","orcid":"https://orcid.org/0000-0001-7932-1824","observed_orcids":["https://orcid.org/0000-0001-7932-1824"]},"institutions":[{"id":"https://openalex.org/I1285790362","display_name":"Finnish Meteorological Institute","ror":"https://ror.org/05hppb561","country_code":"FI","type":"government","lineage":["https://openalex.org/I1284112523","https://openalex.org/I1285790362"]},{"id":"https://openalex.org/I133731052","display_name":"University of Helsinki","ror":"https://ror.org/040af2s02","country_code":"FI","type":"education","lineage":["https://openalex.org/I133731052"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Eduardo Eiji Maeda","raw_affiliation_strings":["Department of Geosciences and Geography, University of Helsinki, Helsinki, Finland","Finnish Meteorological Institute, FMI, Helsinki, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Geosciences and Geography, University of Helsinki, Helsinki, Finland","institution_ids":["https://openalex.org/I133731052"]},{"raw_affiliation_string":"Finnish Meteorological Institute, FMI, Helsinki, Finland","institution_ids":["https://openalex.org/I1285790362"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078043409","display_name":"Si Gao","orcid":"https://orcid.org/0000-0001-6726-5693","observed_orcids":["https://orcid.org/0000-0001-6726-5693"]},"institutions":[{"id":"https://openalex.org/I3125743391","display_name":"China University of Geosciences (Beijing)","ror":"https://ror.org/04q6c7p66","country_code":"CN","type":"education","lineage":["https://openalex.org/I3125743391"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Si Gao","raw_affiliation_strings":["School of Land Science and Techniques, China University of Geosciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Land Science and Techniques, China University of Geosciences, Beijing, China","institution_ids":["https://openalex.org/I3125743391"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011145539","display_name":"Xuecao Li","orcid":"https://orcid.org/0000-0002-6942-0746","observed_orcids":["https://orcid.org/0000-0002-6942-0746"]},"institutions":[{"id":"https://openalex.org/I52158045","display_name":"China Agricultural University","ror":"https://ror.org/04v3ywz14","country_code":"CN","type":"education","lineage":["https://openalex.org/I52158045"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xuecao Li","raw_affiliation_strings":["College of Land Science and Technology, China Agricultural University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Land Science and Technology, China Agricultural University, Beijing, China","institution_ids":["https://openalex.org/I52158045"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5011145539","https://openalex.org/A5018379453"],"corresponding_institution_ids":["https://openalex.org/I3125743391","https://openalex.org/I52158045"],"apc_list":{"value":1880,"currency":"GBP","value_usd":2390},"apc_paid":{"value":1880,"currency":"GBP","value_usd":2390},"fwci":1.8021,"has_fulltext":true,"cited_by_count":23,"citation_normalized_percentile":{"value":0.83901916,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"60","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11963","display_name":"Impact of Light on Environment and Health","score":1.0,"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/T11963","display_name":"Impact of Light on Environment and Health","score":1.0,"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":9.999999747378752e-05,"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/T12983","display_name":"Satellite Image Processing and Photogrammetry","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/nighttime-lights","display_name":"nighttime lights","score":0.871999979019165},{"id":"https://openalex.org/keywords/gap-filling","display_name":"gap filling","score":0.5849999785423279},{"id":"https://openalex.org/keywords/missing-data","display_name":"missing data","score":0.5490000247955322},{"id":"https://openalex.org/keywords/bilstm","display_name":"BiLSTM","score":0.7279999852180481},{"id":"https://openalex.org/keywords/starfm","display_name":"STARFM","score":0.640999972820282},{"id":"https://openalex.org/keywords/cloud-cover","display_name":"cloud cover","score":0.6449999809265137},{"id":"https://openalex.org/keywords/urbanization","display_name":"urbanization","score":0.33000001311302185},{"id":"https://openalex.org/keywords/human-activities","display_name":"human activities","score":0.3580000102519989}],"concepts":[{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.547286868095398},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.5454242825508118},{"id":"https://openalex.org/C2778304055","wikidata":"https://www.wikidata.org/wiki/Q657474","display_name":"Beijing","level":3,"score":0.51836758852005},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.48128360509872437},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.46511131525039673},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.4115942120552063},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4024205803871155},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.36498332023620605},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23782461881637573},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.20692035555839539},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.20398691296577454},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0939929187297821},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C191935318","wikidata":"https://www.wikidata.org/wiki/Q148","display_name":"China","level":2,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1080/15481603.2023.2282238","doi":"https://doi.org/10.1080/15481603.2023.2282238","is_oa":true,"landing_page_url":"https://doi.org/10.1080/15481603.2023.2282238","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/15481603.2023.2282238?needAccess=true","source":{"id":"https://openalex.org/S7804318","display_name":"GIScience & Remote Sensing","issn_l":"1548-1603","issn":["1548-1603","1943-7226"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","dongbi-b","jufo-1","norway-1","oarl","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GIScience &amp; Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:ad6a4bf495ee4be5b5c2291c24fd5ae6","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/ad6a4bf495ee4be5b5c2291c24fd5ae6","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"GIScience & Remote Sensing, Vol 60, Iss 1 (2023)","raw_type":"article"},{"id":"pmh:oai:helda.helsinki.fi:10138/569733","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/10138/569733","pdf_url":null,"source":{"id":"https://openalex.org/S4210213322","display_name":"Ty\u00f6v\u00e4entutkimus Vuosikirja","issn_l":"0784-1272","issn":["0784-1272","1459-7780"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["ddh","jufo-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"}],"best_oa_location":{"id":"doi:10.1080/15481603.2023.2282238","doi":"https://doi.org/10.1080/15481603.2023.2282238","is_oa":true,"landing_page_url":"https://doi.org/10.1080/15481603.2023.2282238","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/15481603.2023.2282238?needAccess=true","source":{"id":"https://openalex.org/S7804318","display_name":"GIScience & Remote Sensing","issn_l":"1548-1603","issn":["1548-1603","1943-7226"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","dongbi-b","jufo-1","norway-1","oarl","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GIScience &amp; Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G2147109968","display_name":null,"funder_award_id":"2652018077","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4389730487.pdf","grobid_xml":"https://content.openalex.org/works/W4389730487.grobid-xml"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W1978145693","https://openalex.org/W1984636348","https://openalex.org/W1992526128","https://openalex.org/W2012997843","https://openalex.org/W2040946410","https://openalex.org/W2064675550","https://openalex.org/W2067781444","https://openalex.org/W2084225991","https://openalex.org/W2088603520","https://openalex.org/W2091793895","https://openalex.org/W2102834609","https://openalex.org/W2144717556","https://openalex.org/W2145489626","https://openalex.org/W2166315923","https://openalex.org/W2167632369","https://openalex.org/W2274778899","https://openalex.org/W2347060746","https://openalex.org/W2609446845","https://openalex.org/W2649137640","https://openalex.org/W2764034829","https://openalex.org/W2778580105","https://openalex.org/W2782522152","https://openalex.org/W2789245956","https://openalex.org/W2792924962","https://openalex.org/W2892489770","https://openalex.org/W2901871772","https://openalex.org/W2926585089","https://openalex.org/W2936275894","https://openalex.org/W2945020384","https://openalex.org/W2954090318","https://openalex.org/W2964626007","https://openalex.org/W2994128586","https://openalex.org/W3005109275","https://openalex.org/W3122216854","https://openalex.org/W3124268907","https://openalex.org/W3127026908","https://openalex.org/W3162776906","https://openalex.org/W3206886019","https://openalex.org/W3208170637","https://openalex.org/W4212940884","https://openalex.org/W4220704758","https://openalex.org/W4224210353","https://openalex.org/W4296904595","https://openalex.org/W4297238401","https://openalex.org/W4300293005","https://openalex.org/W4390929643"],"related_works":["https://openalex.org/W7128039608","https://openalex.org/W7131356786","https://openalex.org/W4410127135","https://openalex.org/W6991297809","https://openalex.org/W3135784387","https://openalex.org/W4392128511","https://openalex.org/W4387801747","https://openalex.org/W2984193561","https://openalex.org/W2789245956","https://openalex.org/W3097051164"],"abstract_inverted_index":{"Nighttime":[0],"light":[1],"(NTL)":[2],"remote":[3,340],"sensing":[4],"data":[5,33,46,81,137,155],"plays":[6],"a":[7,97,113,322],"crucial":[8],"role":[9],"in":[10,13,160,177,318,339],"comprehending":[11],"changes":[12],"human":[14],"activities.":[15],"The":[16,167,262,290,314],"availability":[17],"of":[18,31,40,79,124,174,192,196,208,244,265,281,332],"the":[19,29,38,73,89,122,125,129,139,143,146,152,157,172,183,214,228,276,327],"daily":[20,44,91,334],"lunar":[21],"BRDF-corrected":[22],"Black":[23,335],"Marble":[24,336],"NTL":[25,32,45,69,80,92,99,154,306],"product":[26,337],"(VNP46A2)":[27,338],"enables":[28],"use":[30],"to":[34,52,87],"detect":[35],"and":[36,55,75,109,150,164,181,198,210,220,230,248,260,273,287,292,305,312,330],"assess":[37],"impact":[39],"short-term":[41],"emergencies.":[42],"However,":[43],"often":[47],"experience":[48],"missing":[49,175],"values":[50,176,195,207,243,264],"due":[51],"cloud":[53],"cover":[54],"low-quality":[56],"signals.":[57],"To":[58],"address":[59],"this":[60,298,319],"issue,":[61],"many":[62],"studies":[63],"utilize":[64],"monthly":[65],"or":[66],"annual":[67],"time-composite":[68],"products,":[70],"which":[71,132,250],"restrict":[72],"timeliness":[74],"potential":[76,328],"application":[77],"scenarios":[78],"usage.":[82],"Therefore,":[83],"it":[84],"is":[85,179,300],"necessary":[86],"generate":[88],"gap-filled":[90],"product.":[93],"This":[94],"study":[95,320],"presented":[96],"novel":[98],"gap-filling":[100,111,148,185,215,223,239,267,315],"method":[101,127,186,224,240,268],"comprising":[102],"rough":[103],"reconstruction":[104],"based":[105],"on":[106],"spatiotemporal":[107],"weighting":[108],"refined":[110],"using":[112,128],"Bidirectional":[114],"Long":[115],"Short-Term":[116],"Memory":[117],"(Bi-LSTM)":[118],"model.":[119],"We":[120],"evaluate":[121],"accuracy":[123,188,216,311],"proposed":[126,147,184,222,238,317],"\u201cremove-reconstruct-compare\u201d":[130],"approach,":[131],"randomly":[133],"removes":[134],"some":[135],"original":[136,158],"from":[138],"complete":[140],"image,":[141],"fills":[142],"gaps":[144],"with":[145,156,189,309],"method,":[149],"compares":[151],"reconstructed":[153],"observations":[159],"Beijing,":[161],"Shanghai,":[162],"Xi\u2019an":[163],"New":[165],"York.":[166],"results":[168,295],"reveal":[169],"that":[170,297],"when":[171],"rate":[173],"Beijing":[178],"40%":[180],"50%,":[182],"achieves":[187],"mean":[190,204],"coefficient":[191],"determination":[193],"(R2)":[194],"0.834":[197],"0.841,":[199],"accompanied":[200],"by":[201],"corresponding":[202],"root":[203],"square":[205],"(RMSE)":[206],"7.793":[209],"7.171,":[211],"respectively.":[212,289],"Furthermore,":[213],"was":[217],"evaluated":[218],"quantitatively,":[219],"our":[221,266],"performed":[225],"better":[226],"than":[227,253],"Spatial":[229],"Temporal":[231],"Adaptive":[232],"Reflectance":[233],"Fusion":[234],"Model":[235],"(STARFM).":[236],"Our":[237],"had":[241],"R2":[242],"0.685,":[245],"0.781,":[246],"0.720":[247],"0.642,":[249],"were":[251,269,283],"higher":[252],"those":[254,280],"for":[255,275,325],"STARFM":[256,282],"(0.430,":[257],"0.662,":[258],"0.221":[259],"0.345).":[261],"RMSE":[263],"9.628,":[270],"12.083,":[271],"10.963":[272],"19.882":[274],"four":[277],"sites,":[278],"while":[279],"12.953,":[284],"14.872,":[285],"18.280":[286],"26.990,":[288],"temporal":[291],"spatial":[293],"analysis":[294],"demonstrate":[296],"model":[299,316],"robust,":[301],"capturing":[302],"city":[303],"boundaries":[304],"high-brightness":[307],"hotspots":[308],"high":[310],"stability.":[313],"provides":[321],"new":[323],"technique":[324],"expanding":[326],"applications":[329],"reliability":[331],"NASA\u2019s":[333],"sensing.":[341]},"counts_by_year":[{"year":2026,"cited_by_count":11},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":5}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2023-12-15T00:00:00"}
