{"id":"https://openalex.org/W2804502744","doi":"https://doi.org/10.1109/lgrs.2018.2830797","title":"Urban Built-Up Area Extraction From Log- Transformed NPP-VIIRS Nighttime Light Composite Data","display_name":"Urban Built-Up Area Extraction From Log- Transformed NPP-VIIRS Nighttime Light Composite Data","publication_year":2018,"publication_date":"2018-05-14","ids":{"openalex":"https://openalex.org/W2804502744","doi":"https://doi.org/10.1109/lgrs.2018.2830797","mag":"2804502744"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2018.2830797","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2018.2830797","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100435026","display_name":"Bailang Yu","orcid":"https://orcid.org/0000-0001-5628-0003"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bailang Yu","raw_affiliation_strings":["School of Geographic Sciences, East China Normal University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-5628-0003","affiliations":[{"raw_affiliation_string":"School of Geographic Sciences, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108956984","display_name":"Min Tang","orcid":"https://orcid.org/0009-0000-7647-9116"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Tang","raw_affiliation_strings":["School of Geographic Sciences, East China Normal University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Geographic Sciences, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002753315","display_name":"Qiusheng Wu","orcid":"https://orcid.org/0000-0001-5437-4073"},"institutions":[{"id":"https://openalex.org/I123946342","display_name":"Binghamton University","ror":"https://ror.org/008rmbt77","country_code":"US","type":"education","lineage":["https://openalex.org/I123946342"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qiusheng Wu","raw_affiliation_strings":["Department of Geography, Binghamton University, State University of New York, Binghamton, NY, USA"],"raw_orcid":"https://orcid.org/0000-0001-5437-4073","affiliations":[{"raw_affiliation_string":"Department of Geography, Binghamton University, State University of New York, Binghamton, NY, USA","institution_ids":["https://openalex.org/I123946342"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101817772","display_name":"Chengshu Yang","orcid":"https://orcid.org/0000-0002-7835-3127"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengshu Yang","raw_affiliation_strings":["School of Geographic Sciences, East China Normal University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Geographic Sciences, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004492357","display_name":"Shunqiang Deng","orcid":null},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shunqiang Deng","raw_affiliation_strings":["School of Geographic Sciences, East China Normal University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Geographic Sciences, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068250169","display_name":"Kaifang Shi","orcid":"https://orcid.org/0000-0001-9047-2885"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaifang Shi","raw_affiliation_strings":["School of Geographic Sciences, East China Normal University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Geographic Sciences, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043978941","display_name":"Peng Chen","orcid":"https://orcid.org/0000-0002-8150-0853"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Peng","raw_affiliation_strings":["School of Geographic Sciences, East China Normal University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Geographic Sciences, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001949272","display_name":"Jianping Wu","orcid":"https://orcid.org/0000-0002-8887-8031"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianping Wu","raw_affiliation_strings":["School of Geographic Sciences, East China Normal University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Geographic Sciences, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079713899","display_name":"Zuoqi Chen","orcid":"https://orcid.org/0000-0002-3654-9658"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zuoqi Chen","raw_affiliation_strings":["School of Geographic Sciences, East China Normal University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-3654-9658","affiliations":[{"raw_affiliation_string":"School of Geographic Sciences, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":9,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":9.6546,"has_fulltext":false,"cited_by_count":148,"citation_normalized_percentile":{"value":0.98689599,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"15","issue":"8","first_page":"1279","last_page":"1283"},"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":0.9998999834060669,"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":0.9998999834060669,"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/T10766","display_name":"Urban Heat Island Mitigation","score":0.9824000000953674,"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"}},{"id":"https://openalex.org/T10226","display_name":"Land Use and Ecosystem Services","score":0.9725000262260437,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/visible-infrared-imaging-radiometer-suite","display_name":"Visible Infrared Imaging Radiometer Suite","score":0.9016501903533936},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6884070634841919},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.5928005576133728},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5304419994354248},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.5288340449333191},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.39371392130851746},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.212471604347229},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1863894760608673}],"concepts":[{"id":"https://openalex.org/C2777701342","wikidata":"https://www.wikidata.org/wiki/Q16948273","display_name":"Visible Infrared Imaging Radiometer Suite","level":3,"score":0.9016501903533936},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6884070634841919},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.5928005576133728},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5304419994354248},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.5288340449333191},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.39371392130851746},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.212471604347229},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1863894760608673},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2018.2830797","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2018.2830797","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.6700000166893005}],"awards":[{"id":"https://openalex.org/G1270235188","display_name":null,"funder_award_id":"2017YFE0100700","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G4899397489","display_name":null,"funder_award_id":"15ZZ026","funder_id":"https://openalex.org/F4320321881","funder_display_name":"Shanghai Municipal Education Commission"},{"id":"https://openalex.org/G882913087","display_name":null,"funder_award_id":"41471449","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation 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/F4320321881","display_name":"Shanghai Municipal Education Commission","ror":"https://ror.org/05tewj457"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1973343762","https://openalex.org/W1980225565","https://openalex.org/W1988169969","https://openalex.org/W2001075407","https://openalex.org/W2025943354","https://openalex.org/W2027676542","https://openalex.org/W2028740844","https://openalex.org/W2060629584","https://openalex.org/W2069624290","https://openalex.org/W2074119918","https://openalex.org/W2083447207","https://openalex.org/W2091793895","https://openalex.org/W2094748225","https://openalex.org/W2165717273","https://openalex.org/W2199321793","https://openalex.org/W2335925422","https://openalex.org/W2343243542","https://openalex.org/W2562978865","https://openalex.org/W2590347033","https://openalex.org/W2761711142","https://openalex.org/W2766529052","https://openalex.org/W6684500011"],"related_works":["https://openalex.org/W2508448752","https://openalex.org/W2756445076","https://openalex.org/W2976724510","https://openalex.org/W1996662002","https://openalex.org/W2013329914","https://openalex.org/W2392383081","https://openalex.org/W2118313227","https://openalex.org/W2607812891","https://openalex.org/W2785514354","https://openalex.org/W4384306252"],"abstract_inverted_index":{"Accurate":[0],"information":[1],"on":[2,213],"urban":[3,34,37,48,118,158,167,194,204],"areas":[4,50,159,168,196],"at":[5],"regional":[6],"and":[7,15,127,145,197],"global":[8],"scales":[9],"is":[10,185],"required":[11],"for":[12,32,117,176,189,203],"various":[13],"socioeconomic":[14],"environmental":[16],"applications.":[17],"The":[18,132,148,179,200],"nighttime":[19],"light":[20],"(NTL)":[21],"composite":[22,111],"data":[23,30,61,79,217],"have":[24,40],"proven":[25],"to":[26,46,76,106,210],"be":[27,73],"an":[28,186],"effective":[29,187],"source":[31],"extracting":[33],"areas.":[35,199],"Various":[36],"mapping":[38],"methods":[39,71,116,134,202],"been":[41],"proposed":[42],"in":[43],"the":[44,52,69,77,82,89,108,125,136,151,157,165,171,177,191,214,219],"literature":[45],"extract":[47],"built-up":[49,119,195,205],"from":[51,81,170],"Defense":[53],"Meteorological":[54],"Satellite":[55,87],"Program's":[56],"Operational":[57],"Linescan":[58],"System":[59],"NTL":[60,78,110,129,216,221],"with":[62,88],"a":[63,103],"variable":[64],"accuracy.":[65],"However,":[66],"most":[67],"of":[68,150],"previous":[70],"cannot":[72],"directly":[74],"applied":[75],"derived":[80,160],"Suomi":[83],"National":[84,172],"Polar-orbiting":[85],"Partnership":[86],"Visible":[90],"Infrared":[91],"Imaging":[92],"Radiometer":[93],"Suite":[94],"(NPP-VIIRS)":[95],"sensor":[96],"onboard.":[97],"In":[98],"this":[99],"letter,":[100],"we":[101],"introduced":[102],"logarithmic":[104,183],"transformation":[105,184],"preprocess":[107],"NPP-VIIRS":[109],"data.":[112,222],"Then,":[113],"four":[114],"popular":[115],"area":[120,206],"extraction":[121,207],"were":[122,208],"tested":[123],"using":[124,161],"original":[126,220],"log-transformed":[128,215],"data,":[130],"respectively.":[131],"selected":[133,201],"included":[135],"thresholding":[137],"technique,":[138],"Sobel-based":[139],"edge":[140],"detection,":[141],"neighborhood":[142],"statistics":[143],"analysis,":[144],"watershed":[146],"segmentation.":[147],"accuracy":[149],"results":[152,180],"was":[153],"evaluated":[154],"through":[155],"validating":[156],"each":[162],"method":[163],"against":[164],"referenced":[166],"obtained":[169],"Land":[173],"Cover":[174],"Database":[175],"U.S..":[178],"indicated":[181],"that":[182],"procedure":[188],"enhancing":[190],"difference":[192],"between":[193],"nonurban":[198],"found":[209],"perform":[211],"better":[212],"than":[218]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":18},{"year":2024,"cited_by_count":21},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":25},{"year":2021,"cited_by_count":28},{"year":2020,"cited_by_count":19},{"year":2019,"cited_by_count":15},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}