{"id":"https://openalex.org/W4297201832","doi":"https://doi.org/10.48550/arxiv.1712.05839","title":"Mapping the world population one building at a time","display_name":"Mapping the world population one building at a time","publication_year":2017,"publication_date":"2017-12-15","ids":{"openalex":"https://openalex.org/W4297201832","doi":"https://doi.org/10.48550/arxiv.1712.05839"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:1712.05839","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1712.05839","pdf_url":"https://arxiv.org/pdf/1712.05839","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":null,"raw_type":"text"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1712.05839","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5109146848","display_name":"Tobias Tiecke","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210114444","display_name":"Meta (United States)","ror":"https://ror.org/01zbnvs85","country_code":"US","type":"company","lineage":["https://openalex.org/I4210114444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tiecke, Tobias G.","raw_affiliation_strings":["Facebook Inc. , 1 Hacker Way , Menlo Park , CA 94025 , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Facebook Inc. , 1 Hacker Way , Menlo Park , CA 94025 , USA","institution_ids":["https://openalex.org/I4210114444"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Liu, Xianming","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210114444","display_name":"Meta (United States)","ror":"https://ror.org/01zbnvs85","country_code":"US","type":"company","lineage":["https://openalex.org/I4210114444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Liu, Xianming","raw_affiliation_strings":["Facebook Inc. , 1 Hacker Way , Menlo Park , CA 94025 , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Facebook Inc. , 1 Hacker Way , Menlo Park , CA 94025 , USA","institution_ids":["https://openalex.org/I4210114444"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zhang, Amy","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210114444","display_name":"Meta (United States)","ror":"https://ror.org/01zbnvs85","country_code":"US","type":"company","lineage":["https://openalex.org/I4210114444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhang, Amy","raw_affiliation_strings":["Facebook Inc. , 1 Hacker Way , Menlo Park , CA 94025 , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Facebook Inc. , 1 Hacker Way , Menlo Park , CA 94025 , USA","institution_ids":["https://openalex.org/I4210114444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048337717","display_name":"Andreas Gros","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210114444","display_name":"Meta (United States)","ror":"https://ror.org/01zbnvs85","country_code":"US","type":"company","lineage":["https://openalex.org/I4210114444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gros, Andreas","raw_affiliation_strings":["Facebook Inc. , 1 Hacker Way , Menlo Park , CA 94025 , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Facebook Inc. , 1 Hacker Way , Menlo Park , CA 94025 , USA","institution_ids":["https://openalex.org/I4210114444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100341090","display_name":"Nan Li","orcid":"https://orcid.org/0000-0002-9260-3882","observed_orcids":["https://orcid.org/0000-0002-9260-3882"]},"institutions":[{"id":"https://openalex.org/I4210114444","display_name":"Meta (United States)","ror":"https://ror.org/01zbnvs85","country_code":"US","type":"company","lineage":["https://openalex.org/I4210114444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Li, Nan","raw_affiliation_strings":["Facebook Inc. , 1 Hacker Way , Menlo Park , CA 94025 , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Facebook Inc. , 1 Hacker Way , Menlo Park , CA 94025 , USA","institution_ids":["https://openalex.org/I4210114444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102341949","display_name":"Gregory Yetman","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yetman, Gregory","raw_affiliation_strings":["Center for International Earth Science Information Network (CIESIN) Columbia University , Palisades , NY 10964 , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for International Earth Science Information Network (CIESIN) Columbia University , Palisades , NY 10964 , USA","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056470731","display_name":"Talip Kilic","orcid":"https://orcid.org/0000-0002-3642-3123","observed_orcids":["https://orcid.org/0000-0002-3642-3123"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kilic, Talip","raw_affiliation_strings":["Development Data Group , The World Bank , Rome , Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Development Data Group , The World Bank , Rome , Italy","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086710731","display_name":"Siobhan Murray","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I1334329717","display_name":"World Bank","ror":"https://ror.org/00ae7jd04","country_code":"US","type":"other","lineage":["https://openalex.org/I1334329717","https://openalex.org/I55633929"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Murray, Siobhan","raw_affiliation_strings":["Development Data Group , The World Bank , Washington DC , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Development Data Group , The World Bank , Washington DC , USA","institution_ids":["https://openalex.org/I1334329717"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034000487","display_name":"Brian and Blankespoor","orcid":"https://orcid.org/0000-0003-1806-8129","observed_orcids":["https://orcid.org/0000-0003-1806-8129"]},"institutions":[{"id":"https://openalex.org/I1334329717","display_name":"World Bank","ror":"https://ror.org/00ae7jd04","country_code":"US","type":"other","lineage":["https://openalex.org/I1334329717","https://openalex.org/I55633929"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Blankespoor, Brian","raw_affiliation_strings":["Development Data Group , The World Bank , Washington DC , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Development Data Group , The World Bank , Washington DC , USA","institution_ids":["https://openalex.org/I1334329717"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002337908","display_name":"Espen Beer Prydz","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Prydz, Espen B.","raw_affiliation_strings":["Development Data Group , The World Bank , Rome , Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Development Data Group , The World Bank , Rome , Italy","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047030988","display_name":"Hai-Anh Hoang Dang","orcid":"https://orcid.org/0000-0003-4913-5291","observed_orcids":["https://orcid.org/0000-0003-4913-5291"]},"institutions":[{"id":"https://openalex.org/I1334329717","display_name":"World Bank","ror":"https://ror.org/00ae7jd04","country_code":"US","type":"other","lineage":["https://openalex.org/I1334329717","https://openalex.org/I55633929"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dang, Hai-Anh H.","raw_affiliation_strings":["Development Data Group , The World Bank , Washington DC , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Development Data Group , The World Bank , Washington DC , USA","institution_ids":["https://openalex.org/I1334329717"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":75,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"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":0.7490000128746033,"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":0.7490000128746033,"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/T13282","display_name":"Automated Road and Building Extraction","score":0.21089999377727509,"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"}},{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.020600000396370888,"subfield":{"id":"https://openalex.org/subfields/3305","display_name":"Geography, Planning and Development"},"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/population-density-mapping","display_name":"population density mapping","score":0.8320000171661377},{"id":"https://openalex.org/keywords/building-detection","display_name":"building detection","score":0.671999990940094},{"id":"https://openalex.org/keywords/satellite-imagery","display_name":"satellite imagery","score":0.8289999961853027},{"id":"https://openalex.org/keywords/settlement-mapping","display_name":"settlement mapping","score":0.5130000114440918},{"id":"https://openalex.org/keywords/census-data","display_name":"census data","score":0.6349999904632568},{"id":"https://openalex.org/keywords/urbanization","display_name":"urbanization","score":0.5989999771118164},{"id":"https://openalex.org/keywords/flood-risk-assessment","display_name":"flood risk assessment","score":0.8930000066757202},{"id":"https://openalex.org/keywords/infrastructure-planning","display_name":"infrastructure planning","score":0.5659999847412109},{"id":"https://openalex.org/keywords/disaster-response","display_name":"disaster response","score":0.9860000014305115}],"concepts":[{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.6791311502456665},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5781432390213013},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.48585912585258484},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.41798657178878784},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4084470570087433},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3454500436782837},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.2989313006401062},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:1712.05839","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1712.05839","pdf_url":"https://arxiv.org/pdf/1712.05839","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.1712.05839","doi":"https://doi.org/10.48550/arxiv.1712.05839","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1712.05839","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1712.05839","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1712.05839","pdf_url":"https://arxiv.org/pdf/1712.05839","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":null,"raw_type":"text"},"sustainable_development_goals":[{"score":0.875,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4297201832.pdf","grobid_xml":"https://content.openalex.org/works/W4297201832.grobid-xml"},"referenced_works_count":11,"referenced_works":["https://openalex.org/W1481186935","https://openalex.org/W1673923490","https://openalex.org/W1910657905","https://openalex.org/W1923697677","https://openalex.org/W1991145689","https://openalex.org/W2165160669","https://openalex.org/W2242218935","https://openalex.org/W2277790332","https://openalex.org/W2564531840","https://openalex.org/W2624779149","https://openalex.org/W6902903531"],"related_works":["https://openalex.org/W1601050139","https://openalex.org/W2890140875","https://openalex.org/W2947227384","https://openalex.org/W4402038071","https://openalex.org/W2900788998","https://openalex.org/W2976015471","https://openalex.org/W1944729719","https://openalex.org/W2971192903","https://openalex.org/W2753478003","https://openalex.org/W3138170156"],"abstract_inverted_index":{"High":[0],"resolution":[1,68,136],"datasets":[2,206],"of":[3,38,48,64,156,170,184,197],"population":[4,20,49,99,131,164,205],"density":[5],"which":[6],"accurately":[7],"map":[8],"sparsely-distributed":[9],"human":[10],"populations":[11,73],"do":[12],"not":[13],"exist":[14],"at":[15,82,104],"a":[16,55,83,89,105,109,167,171],"global":[17,84,106,119],"scale.":[18,85],"Typically,":[19],"data":[21,34,125],"is":[22],"obtained":[23],"using":[24,32],"censuses":[25],"and":[26,67,116,144,154,158,161,188,218],"statistical":[27],"modeling.":[28],"More":[29],"recently,":[30],"methods":[31],"remotely-sensed":[33],"have":[35,166,207],"emerged,":[36],"capable":[37],"effectively":[39],"identifying":[40],"urbanized":[41],"areas.":[42],"Obtaining":[43],"high":[44,223],"accuracy":[45,224],"in":[46,51,209],"estimation":[47],"distribution":[50],"rural":[52],"areas":[53],"remains":[54],"very":[56,71],"challenging":[57],"task":[58],"due":[59],"to":[60,69,97,113],"the":[61,147,163,185,198],"simultaneous":[62],"requirements":[63],"sufficient":[65],"sensitivity":[66,111],"detect":[70],"sparse":[72],"through":[74],"remote":[75],"sensing":[76],"as":[77,79,222],"well":[78],"reliable":[80],"performance":[81],"Here,":[86],"we":[87,129,180],"present":[88],"computer":[90],"vision":[91],"method":[92],"based":[93],"on":[94,177],"machine":[95],"learning":[96],"create":[98,130],"maps":[100,132],"from":[101],"satellite":[102],"imagery":[103],"scale,":[107],"with":[108,126,133],"spatial":[110],"corresponding":[112],"individual":[114],"buildings":[115],"suitable":[117],"for":[118,137],"deployment.":[120],"By":[121],"combining":[122],"this":[123],"settlement":[124],"census":[127],"data,":[128,179],"~30":[134],"meter":[135],"18":[138],"countries.":[139],"We":[140],"validate":[141],"our":[142,178],"method,":[143],"find":[145],"that":[146,162,190],"building":[148],"identification":[149],"has":[150],"an":[151],"average":[152],"precision":[153],"recall":[155],"0.95":[157],"0.91,":[159],"respectively":[160],"estimates":[165],"standard":[168],"error":[169],"factor":[172],"~2":[173],"or":[174],"less.":[175],"Based":[176],"analyze":[181],"29":[182],"percent":[183,192],"world":[186],"population,":[187],"show":[189],"99":[191],"lives":[193],"within":[194],"36":[195],"km":[196],"nearest":[199],"urban":[200],"cluster.":[201],"The":[202],"resulting":[203],"high-resolution":[204],"applications":[208],"infrastructure":[210],"planning,":[211,214],"vaccination":[212],"campaign":[213],"disaster":[215],"response":[216],"efforts":[217],"risk":[219,226],"analysis":[220],"such":[221],"flood":[225],"analysis.":[227]},"counts_by_year":[{"year":2026,"cited_by_count":9},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":15},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":14},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":5}],"updated_date":"2026-11-11T12:16:26.678958","created_date":"2022-09-27T00:00:00"}
