{"id":"https://openalex.org/W2983432702","doi":"https://doi.org/10.1109/igarss.2019.8899339","title":"How Remotely Sensed Built Areas And Their Realizations Inform And Constrain Gridded Population Models","display_name":"How Remotely Sensed Built Areas And Their Realizations Inform And Constrain Gridded Population Models","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2983432702","doi":"https://doi.org/10.1109/igarss.2019.8899339","mag":"2983432702"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2019.8899339","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2019.8899339","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium","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/A5061179969","display_name":"Forrest R. Stevens","orcid":"https://orcid.org/0000-0002-9328-3753"},"institutions":[{"id":"https://openalex.org/I142740786","display_name":"University of Louisville","ror":"https://ror.org/01ckdn478","country_code":"US","type":"education","lineage":["https://openalex.org/I142740786"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Forrest R. Stevens","raw_affiliation_strings":["Department of Geography and Geosciences, University of Louisville, Louisville, KY, USA"],"affiliations":[{"raw_affiliation_string":"Department of Geography and Geosciences, University of Louisville, Louisville, KY, USA","institution_ids":["https://openalex.org/I142740786"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030820373","display_name":"Fennis J. Reed","orcid":null},"institutions":[{"id":"https://openalex.org/I142740786","display_name":"University of Louisville","ror":"https://ror.org/01ckdn478","country_code":"US","type":"education","lineage":["https://openalex.org/I142740786"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fennis Reed","raw_affiliation_strings":["Department of Geography and Geosciences, University of Louisville, Louisville, KY, USA"],"affiliations":[{"raw_affiliation_string":"Department of Geography and Geosciences, University of Louisville, Louisville, KY, USA","institution_ids":["https://openalex.org/I142740786"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001791698","display_name":"Andrea E. Gaughan","orcid":"https://orcid.org/0000-0002-4898-1587"},"institutions":[{"id":"https://openalex.org/I142740786","display_name":"University of Louisville","ror":"https://ror.org/01ckdn478","country_code":"US","type":"education","lineage":["https://openalex.org/I142740786"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andrea E. Gaughan","raw_affiliation_strings":["Department of Geography and Geosciences, University of Louisville, Louisville, KY, USA"],"affiliations":[{"raw_affiliation_string":"Department of Geography and Geosciences, University of Louisville, Louisville, KY, USA","institution_ids":["https://openalex.org/I142740786"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010661508","display_name":"Parmanand Sinha","orcid":"https://orcid.org/0000-0001-6992-6555"},"institutions":[{"id":"https://openalex.org/I40347166","display_name":"University of Chicago","ror":"https://ror.org/024mw5h28","country_code":"US","type":"education","lineage":["https://openalex.org/I40347166"]},{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Parmanand Sinha","raw_affiliation_strings":["University of Chicago, Chicago, IL, USA"],"affiliations":[{"raw_affiliation_string":"University of Chicago, Chicago, IL, USA","institution_ids":["https://openalex.org/I40347166","https://openalex.org/I39422238"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016636311","display_name":"Alessandro Sorichetta","orcid":"https://orcid.org/0000-0002-3576-5826"},"institutions":[{"id":"https://openalex.org/I43439940","display_name":"University of Southampton","ror":"https://ror.org/01ryk1543","country_code":"GB","type":"education","lineage":["https://openalex.org/I43439940"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Alessandro Sorichetta","raw_affiliation_strings":["University of Southampton, United Kingdom"],"affiliations":[{"raw_affiliation_string":"University of Southampton, United Kingdom","institution_ids":["https://openalex.org/I43439940"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102341949","display_name":"Gregory Yetman","orcid":null},"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":"Gregory Yetman","raw_affiliation_strings":["CIESIN, Columbia University, New York, NY, USA"],"affiliations":[{"raw_affiliation_string":"CIESIN, Columbia University, New York, NY, USA","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026395399","display_name":"Andrew J. Tatem","orcid":"https://orcid.org/0000-0002-7270-941X"},"institutions":[{"id":"https://openalex.org/I43439940","display_name":"University of Southampton","ror":"https://ror.org/01ryk1543","country_code":"GB","type":"education","lineage":["https://openalex.org/I43439940"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Andrew J. Tatem","raw_affiliation_strings":["University of Southampton, United Kingdom"],"affiliations":[{"raw_affiliation_string":"University of Southampton, United Kingdom","institution_ids":["https://openalex.org/I43439940"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5061179969"],"corresponding_institution_ids":["https://openalex.org/I142740786"],"apc_list":null,"apc_paid":null,"fwci":0.1277,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.53619308,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"abs 1712 0","issue":null,"first_page":"6364","last_page":"6367"},"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":0.998199999332428,"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":0.998199999332428,"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":0.9922000169754028,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9584000110626221,"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/population","display_name":"Population","score":0.658742368221283},{"id":"https://openalex.org/keywords/footprint","display_name":"Footprint","score":0.6563290357589722},{"id":"https://openalex.org/keywords/ancillary-data","display_name":"Ancillary data","score":0.5529848337173462},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.48908478021621704},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.484205961227417},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.48349693417549133},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.4535728991031647},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4452659487724304},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.42138347029685974},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.11374589800834656}],"concepts":[{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.658742368221283},{"id":"https://openalex.org/C132943942","wikidata":"https://www.wikidata.org/wiki/Q2562511","display_name":"Footprint","level":2,"score":0.6563290357589722},{"id":"https://openalex.org/C2780408538","wikidata":"https://www.wikidata.org/wiki/Q3615217","display_name":"Ancillary data","level":2,"score":0.5529848337173462},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.48908478021621704},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.484205961227417},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.48349693417549133},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.4535728991031647},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4452659487724304},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.42138347029685974},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.11374589800834656},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/igarss.2019.8899339","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2019.8899339","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.soton.ac.uk:456335","is_oa":false,"landing_page_url":"https://eprints.soton.ac.uk/456335/","pdf_url":null,"source":{"id":"https://openalex.org/S4306401019","display_name":"ePrints Soton (University of Southampton)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I43439940","host_organization_name":"University of Southampton","host_organization_lineage":["https://openalex.org/I43439940"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5899999737739563,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1127890967","https://openalex.org/W1527710572","https://openalex.org/W1587026990","https://openalex.org/W1810028515","https://openalex.org/W1987767032","https://openalex.org/W1991145689","https://openalex.org/W2006561424","https://openalex.org/W2039474137","https://openalex.org/W2087906844","https://openalex.org/W2107927071","https://openalex.org/W2114336077","https://openalex.org/W2123845623","https://openalex.org/W2256456552","https://openalex.org/W2418543604","https://openalex.org/W2582743722","https://openalex.org/W2590659478","https://openalex.org/W2773484054","https://openalex.org/W2774117082","https://openalex.org/W2780517933","https://openalex.org/W2781625359","https://openalex.org/W3014221545","https://openalex.org/W3163617311","https://openalex.org/W4399637950","https://openalex.org/W6677039608","https://openalex.org/W6734163779","https://openalex.org/W6746915634","https://openalex.org/W6775580898","https://openalex.org/W6795848648","https://openalex.org/W6869793833"],"related_works":["https://openalex.org/W3193043704","https://openalex.org/W4386259002","https://openalex.org/W1546989560","https://openalex.org/W3171520305","https://openalex.org/W3135126032","https://openalex.org/W1924178503","https://openalex.org/W4308716060","https://openalex.org/W4280648719","https://openalex.org/W1990732300","https://openalex.org/W2081516178"],"abstract_inverted_index":{"Many":[0],"disciplines":[1],"require":[2],"consistent,":[3],"comparable":[4],"areal":[5],"information":[6,28],"about":[7],"where":[8],"people":[9],"are.":[10],"Gridded":[11],"population":[12,24,90,165,180],"estimates":[13],"fill":[14],"this":[15],"need":[16],"typically":[17],"by":[18],"disaggregating":[19],"census":[20],"data":[21,72,100,177],"or":[22],"predicting":[23],"counts":[25,166],"from":[26,173],"ancillary":[27,46,211],"within":[29],"identical":[30],"pixel":[31],"sizes":[32],"across":[33],"variable":[34],"extents.":[35],"Remotely-sensed":[36],"built":[37,70,175,194,209],"areas":[38],"are":[39,95,158],"an":[40],"extremely":[41],"important":[42],"form":[43],"of":[44,67,126,135,207],"such":[45],"data,":[47],"and":[48,52,82,108,123,142,192,213],"how":[49],"they":[50],"inform":[51],"constrain":[53],"these":[54],"techniques":[55,94,112],"has":[56],"yet":[57],"to":[58,178,186],"be":[59,150],"fully":[60],"explored.":[61],"This":[62],"study":[63],"assesses":[64],"the":[65,83,127,136,139,187,205],"effectiveness":[66],"three":[68,99],"remotely-sensed,":[69],"area":[71,176,195],"sets":[73,101],"(High":[74],"Resolution":[75],"Settlement":[76,80,85],"Layer,":[77],"Global":[78],"Human":[79],"Layer":[81],"World":[84],"Footprint)":[86],"in":[87,102,133,153,184],"producing":[88],"gridded":[89],"estimates.":[91],"Three":[92],"mapping":[93],"applied":[96],"with":[97,119],"those":[98],"Haiti,":[103],"Malawi,":[104],"Madagascar,":[105],"Nepal,":[106],"Rwanda,":[107],"Thailand.":[109],"The":[110],"modeling":[111,190],"include":[113],"binary":[114],"dasymetric":[115,121],"redistribution,":[116],"random":[117,140],"forest":[118,141],"a":[120,124],"component,":[122],"hybrid":[125,143],"previous":[128],"two.":[129],"Results":[130],"show":[131],"that":[132],"five":[134],"six":[137],"countries":[138],"models":[144,157],"were":[145],"comparable,":[146],"although":[147],"there":[148],"may":[149],"case-specific":[151],"instances":[152],"which":[154],"statistically":[155],"complex":[156],"not":[159],"as":[160,162],"robust":[161],"simply":[163],"redistributing":[164],"into":[167],"\"built\"":[168],"grid":[169],"cells.":[170],"Relative":[171],"contributions":[172],"different":[174],"informing":[179],"modelling":[181],"was":[182],"discussed":[183,203],"relation":[185],"spatial":[188],"resolution,":[189],"techniques,":[191],"underlying":[193],"vs.":[196],"built-up":[197],"definitions.":[198],"Further":[199],"investigation":[200],"is":[201],"also":[202],"regarding":[204],"inclusion":[206],"additional":[208],"datasets,":[210],"inputs,":[212],"reference":[214],"data.":[215]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
