{"id":"https://openalex.org/W2903856165","doi":"https://doi.org/10.1109/geoinformatics.2018.8557139","title":"Methods for Extracting Urban Construction Land Using Night-Light Data: Assessment and Application","display_name":"Methods for Extracting Urban Construction Land Using Night-Light Data: Assessment and Application","publication_year":2018,"publication_date":"2018-06-01","ids":{"openalex":"https://openalex.org/W2903856165","doi":"https://doi.org/10.1109/geoinformatics.2018.8557139","mag":"2903856165"},"language":"en","primary_location":{"id":"doi:10.1109/geoinformatics.2018.8557139","is_oa":false,"landing_page_url":"https://doi.org/10.1109/geoinformatics.2018.8557139","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 26th International Conference on Geoinformatics","raw_type":"proceedings-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/A5100927761","display_name":"Junzhong Tan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210132957","display_name":"Graphic Science (United Kingdom)","ror":"https://ror.org/042fkva46","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210132957"]},{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN","GB"],"is_corresponding":true,"raw_author_name":"Junzhong Tan","raw_affiliation_strings":["Nanjing University, School of Geographic &#x0026; Oceanographic Sciences, Nanjing, China","School of Geographic & Oceanographic Sciences, Nanjing University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University, School of Geographic &#x0026; Oceanographic Sciences, Nanjing, China","institution_ids":["https://openalex.org/I4210132957"]},{"raw_affiliation_string":"School of Geographic & Oceanographic Sciences, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100400635","display_name":"Mei Zhang","orcid":"https://orcid.org/0000-0003-1939-302X"},"institutions":[{"id":"https://openalex.org/I4210132957","display_name":"Graphic Science (United Kingdom)","ror":"https://ror.org/042fkva46","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210132957"]},{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN","GB"],"is_corresponding":false,"raw_author_name":"Mei Zhang","raw_affiliation_strings":["Nanjing University, School of Geographic &#x0026; Oceanographic Sciences, Nanjing, China","School of Geographic & Oceanographic Sciences, Nanjing University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University, School of Geographic &#x0026; Oceanographic Sciences, Nanjing, China","institution_ids":["https://openalex.org/I4210132957"]},{"raw_affiliation_string":"School of Geographic & Oceanographic Sciences, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022499632","display_name":"Xin Tan","orcid":"https://orcid.org/0000-0001-9699-1782"},"institutions":[{"id":"https://openalex.org/I2800372957","display_name":"China Electronics Technology Group Corporation","ror":"https://ror.org/0098hst83","country_code":"CN","type":"company","lineage":["https://openalex.org/I2800372957"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Tan","raw_affiliation_strings":["The 28th Research Institute of China Eletronics Technology Group Corporation"],"affiliations":[{"raw_affiliation_string":"The 28th Research Institute of China Eletronics Technology Group Corporation","institution_ids":["https://openalex.org/I2800372957"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100927761"],"corresponding_institution_ids":["https://openalex.org/I4210132957","https://openalex.org/I881766915"],"apc_list":null,"apc_paid":null,"fwci":0.1424,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.5498497,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"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/T10226","display_name":"Land Use and Ecosystem Services","score":0.9488999843597412,"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/T10298","display_name":"Urban Transport and Accessibility","score":0.9362000226974487,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/urbanization","display_name":"Urbanization","score":0.7389447689056396},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5897694230079651},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.539006233215332},{"id":"https://openalex.org/keywords/urban-construction","display_name":"Urban construction","score":0.4513617157936096},{"id":"https://openalex.org/keywords/land-use","display_name":"Land use","score":0.4453231692314148},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.413989782333374},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.4019321799278259},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.38629692792892456},{"id":"https://openalex.org/keywords/civil-engineering","display_name":"Civil engineering","score":0.19530105590820312},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.191056489944458},{"id":"https://openalex.org/keywords/environmental-planning","display_name":"Environmental planning","score":0.12091845273971558},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09490928053855896}],"concepts":[{"id":"https://openalex.org/C39853841","wikidata":"https://www.wikidata.org/wiki/Q161078","display_name":"Urbanization","level":2,"score":0.7389447689056396},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5897694230079651},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.539006233215332},{"id":"https://openalex.org/C2992168405","wikidata":"https://www.wikidata.org/wiki/Q7900108","display_name":"Urban construction","level":2,"score":0.4513617157936096},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.4453231692314148},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.413989782333374},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.4019321799278259},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.38629692792892456},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.19530105590820312},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.191056489944458},{"id":"https://openalex.org/C91375879","wikidata":"https://www.wikidata.org/wiki/Q15473274","display_name":"Environmental planning","level":1,"score":0.12091845273971558},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09490928053855896},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","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},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/geoinformatics.2018.8557139","is_oa":false,"landing_page_url":"https://doi.org/10.1109/geoinformatics.2018.8557139","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 26th International Conference on Geoinformatics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.8600000143051147}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1969223470","https://openalex.org/W1973343762","https://openalex.org/W1983564473","https://openalex.org/W2034906331","https://openalex.org/W2049353036","https://openalex.org/W2049643747","https://openalex.org/W2050571985","https://openalex.org/W2108020892","https://openalex.org/W2417628304","https://openalex.org/W2469180635","https://openalex.org/W2494853983","https://openalex.org/W2495897051","https://openalex.org/W2558786975","https://openalex.org/W2564479825","https://openalex.org/W2568602861","https://openalex.org/W2589048873"],"related_works":["https://openalex.org/W2392907783","https://openalex.org/W891751532","https://openalex.org/W1985072978","https://openalex.org/W2375489112","https://openalex.org/W2370838374","https://openalex.org/W2354222596","https://openalex.org/W2392291083","https://openalex.org/W2026040010","https://openalex.org/W2380476500","https://openalex.org/W1965449042"],"abstract_inverted_index":{"As":[0],"a":[1,139],"new":[2],"data":[3,9,34,81,155],"source,":[4],"night":[5,30,60,79,153],"light":[6,31,61,80,154],"remote":[7,32],"sensing":[8,33],"are":[10,47],"more":[11],"suitable":[12],"for":[13,73,142],"the":[14,29,39,56,66,89,103,107,115,125,150,157],"background":[15],"of":[16,41,59,70,91,119,152,160],"rapid":[17],"urbanization":[18],"in":[19,22],"China.":[20],"Therefore,":[21],"recent":[23],"years,":[24],"many":[25],"scholars":[26],"have":[27],"used":[28],"to":[35,50,54,102],"extract":[36],"and":[37,68,106,156,162],"study":[38,64],"expansion":[40],"urban":[42,75,92,120,144],"construction":[43,76,93,121,145],"land.":[44],"However,":[45],"researchers":[46],"still":[48],"trying":[49],"find":[51,138],"better":[52,140],"methods":[53,72,98],"avoid":[55],"internal":[57],"defects":[58],"data.":[62],"This":[63],"assessed":[65],"advantages":[67],"disadvantages":[69],"existing":[71],"extracting":[74,143],"land":[77,146],"using":[78,96,124],"through":[82],"actual":[83],"applications.":[84],"The":[85],"results":[86],"indicated":[87],"that":[88,135],"areas":[90],"lands":[94,122],"extracted":[95,123],"threshold":[97],"were":[99,111,129],"much":[100,130],"closer":[101],"authoritative":[104],"data,":[105],"shape":[108,116],"coincidence":[109],"degrees":[110,118],"also":[112],"better,":[113],"while":[114],"similarity":[117],"neighborhood":[126],"analysis":[127],"method":[128,141],"better.":[131],"Further":[132],"analyses":[133],"revealed":[134],"we":[136],"may":[137],"by":[147],"considering":[148],"both":[149],"intensity":[151],"natural":[158],"boundaries":[159],"cities":[161],"towns.":[163]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
