{"id":"https://openalex.org/W4399313803","doi":"https://doi.org/10.1016/j.jag.2024.103944","title":"A combined Remote Sensing and GIS-based method for Local Climate Zone mapping using PRISMA and Sentinel-2 imagery","display_name":"A combined Remote Sensing and GIS-based method for Local Climate Zone mapping using PRISMA and Sentinel-2 imagery","publication_year":2024,"publication_date":"2024-06-03","ids":{"openalex":"https://openalex.org/W4399313803","doi":"https://doi.org/10.1016/j.jag.2024.103944"},"language":"en","primary_location":{"id":"doi:10.1016/j.jag.2024.103944","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.jag.2024.103944","pdf_url":null,"source":{"id":"https://openalex.org/S4210179989","display_name":"International Journal of Applied Earth Observation and Geoinformation","issn_l":"1569-8432","issn":["1569-8432","1872-826X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Applied Earth Observation and Geoinformation","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1016/j.jag.2024.103944","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5067800707","display_name":"Alberto Vavassori","orcid":"https://orcid.org/0000-0001-5329-2789"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Alberto Vavassori","raw_affiliation_strings":["Department of Civil and Environmental Engineering, Politecnico di Milano, Milano 20133, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Civil and Environmental Engineering, Politecnico di Milano, Milano 20133, Italy","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085312464","display_name":"Daniele Oxoli","orcid":"https://orcid.org/0000-0002-3226-5586"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Daniele Oxoli","raw_affiliation_strings":["Department of Civil and Environmental Engineering, Politecnico di Milano, Milano 20133, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Civil and Environmental Engineering, Politecnico di Milano, Milano 20133, Italy","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060191428","display_name":"G. Venuti","orcid":"https://orcid.org/0000-0003-0728-3763"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giovanna Venuti","raw_affiliation_strings":["Department of Civil and Environmental Engineering, Politecnico di Milano, Milano 20133, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Civil and Environmental Engineering, Politecnico di Milano, Milano 20133, Italy","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075778487","display_name":"Maria Antonia Brovelli","orcid":"https://orcid.org/0000-0003-3161-5561"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Maria Antonia Brovelli","raw_affiliation_strings":["Department of Civil and Environmental Engineering, Politecnico di Milano, Milano 20133, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Civil and Environmental Engineering, Politecnico di Milano, Milano 20133, Italy","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012029917","display_name":"Mario Siciliani de Cumis","orcid":"https://orcid.org/0000-0003-2854-5881"},"institutions":[{"id":"https://openalex.org/I2800530175","display_name":"Agenzia Spaziale Italiana","ror":"https://ror.org/034zgem50","country_code":"IT","type":"government","lineage":["https://openalex.org/I2800530175"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Mario Siciliani de Cumis","raw_affiliation_strings":["Italian Space Agency (ASI), Rome 00133, Italy"],"affiliations":[{"raw_affiliation_string":"Italian Space Agency (ASI), Rome 00133, Italy","institution_ids":["https://openalex.org/I2800530175"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036931070","display_name":"Patrizia Sacco","orcid":"https://orcid.org/0000-0003-3896-8618"},"institutions":[{"id":"https://openalex.org/I2800530175","display_name":"Agenzia Spaziale Italiana","ror":"https://ror.org/034zgem50","country_code":"IT","type":"government","lineage":["https://openalex.org/I2800530175"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Patrizia Sacco","raw_affiliation_strings":["Italian Space Agency (ASI), Rome 00133, Italy"],"affiliations":[{"raw_affiliation_string":"Italian Space Agency (ASI), Rome 00133, Italy","institution_ids":["https://openalex.org/I2800530175"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008333546","display_name":"Deodato Tapete","orcid":"https://orcid.org/0000-0002-7242-4473"},"institutions":[{"id":"https://openalex.org/I2800530175","display_name":"Agenzia Spaziale Italiana","ror":"https://ror.org/034zgem50","country_code":"IT","type":"government","lineage":["https://openalex.org/I2800530175"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Deodato Tapete","raw_affiliation_strings":["Italian Space Agency (ASI), Rome 00133, Italy"],"affiliations":[{"raw_affiliation_string":"Italian Space Agency (ASI), Rome 00133, Italy","institution_ids":["https://openalex.org/I2800530175"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5067800707"],"corresponding_institution_ids":["https://openalex.org/I93860229"],"apc_list":{"value":2250,"currency":"USD","value_usd":2250},"apc_paid":{"value":2250,"currency":"USD","value_usd":2250},"fwci":3.3843,"has_fulltext":true,"cited_by_count":16,"citation_normalized_percentile":{"value":0.92616181,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"131","issue":null,"first_page":"103944","last_page":"103944"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10766","display_name":"Urban Heat Island Mitigation","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10766","display_name":"Urban Heat Island Mitigation","score":0.9998999834060669,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9901000261306763,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.8099428415298462},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.7286502122879028},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.5891566872596741},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5545505285263062},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5442760586738586},{"id":"https://openalex.org/keywords/spectral-signature","display_name":"Spectral signature","score":0.4773673713207245},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4697689712047577},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.4363560378551483},{"id":"https://openalex.org/keywords/metropolitan-area","display_name":"Metropolitan area","score":0.4128817319869995},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3426523208618164},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.32468879222869873}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8099428415298462},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.7286502122879028},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.5891566872596741},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5545505285263062},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5442760586738586},{"id":"https://openalex.org/C176641082","wikidata":"https://www.wikidata.org/wiki/Q2446767","display_name":"Spectral signature","level":2,"score":0.4773673713207245},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4697689712047577},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.4363560378551483},{"id":"https://openalex.org/C158739034","wikidata":"https://www.wikidata.org/wiki/Q1907114","display_name":"Metropolitan area","level":2,"score":0.4128817319869995},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3426523208618164},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.32468879222869873},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1016/j.jag.2024.103944","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.jag.2024.103944","pdf_url":null,"source":{"id":"https://openalex.org/S4210179989","display_name":"International Journal of Applied Earth Observation and Geoinformation","issn_l":"1569-8432","issn":["1569-8432","1872-826X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Applied Earth Observation and Geoinformation","raw_type":"journal-article"},{"id":"pmh:oai:re.public.polimi.it:11311/1266942","is_oa":true,"landing_page_url":"https://hdl.handle.net/11311/1266942","pdf_url":"https://re.public.polimi.it/bitstream/11311/1266942/5/Vavassori_et_al_JAG_2024.pdf","source":{"id":"https://openalex.org/S4306400312","display_name":"Virtual Community of Pathological Anatomy (University of Castilla La Mancha)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79189158","host_organization_name":"University of Castilla-La Mancha","host_organization_lineage":["https://openalex.org/I79189158"],"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":"","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:doaj.org/article:64ae440fa80d46c78aeea023fa5d6b17","is_oa":true,"landing_page_url":"https://doaj.org/article/64ae440fa80d46c78aeea023fa5d6b17","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Journal of Applied Earth Observations and Geoinformation, Vol 131, Iss , Pp 103944- (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1016/j.jag.2024.103944","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.jag.2024.103944","pdf_url":null,"source":{"id":"https://openalex.org/S4210179989","display_name":"International Journal of Applied Earth Observation and Geoinformation","issn_l":"1569-8432","issn":["1569-8432","1872-826X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Applied Earth Observation and Geoinformation","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Climate action","score":0.7900000214576721,"id":"https://metadata.un.org/sdg/13"}],"awards":[{"id":"https://openalex.org/G6990878274","display_name":null,"funder_award_id":"2022-30-HH.0","funder_id":"https://openalex.org/F4320322256","funder_display_name":"Agenzia Spaziale Italiana"}],"funders":[{"id":"https://openalex.org/F4320322256","display_name":"Agenzia Spaziale Italiana","ror":"https://ror.org/034zgem50"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W1822828960","https://openalex.org/W2030737358","https://openalex.org/W2047755570","https://openalex.org/W2052326455","https://openalex.org/W2072673429","https://openalex.org/W2074448420","https://openalex.org/W2111975408","https://openalex.org/W2120543719","https://openalex.org/W2134745579","https://openalex.org/W2167476198","https://openalex.org/W2331460075","https://openalex.org/W2460810756","https://openalex.org/W2463671523","https://openalex.org/W2531514325","https://openalex.org/W2604684858","https://openalex.org/W2637981175","https://openalex.org/W2760841452","https://openalex.org/W2890396285","https://openalex.org/W2899326246","https://openalex.org/W2928673425","https://openalex.org/W2949351478","https://openalex.org/W2963442801","https://openalex.org/W2965815720","https://openalex.org/W2985950345","https://openalex.org/W3034521021","https://openalex.org/W3038891727","https://openalex.org/W3132490601","https://openalex.org/W3159093802","https://openalex.org/W3163775571","https://openalex.org/W3165355909","https://openalex.org/W3168970880","https://openalex.org/W3196578874","https://openalex.org/W3205333858","https://openalex.org/W3216999574","https://openalex.org/W4211004290","https://openalex.org/W4211056572","https://openalex.org/W4221070156","https://openalex.org/W4280647584","https://openalex.org/W4293759745","https://openalex.org/W4318483447","https://openalex.org/W4365520210","https://openalex.org/W4382982528","https://openalex.org/W4388732357","https://openalex.org/W6676701049","https://openalex.org/W6859460455","https://openalex.org/W6859975533"],"related_works":["https://openalex.org/W2022304901","https://openalex.org/W2018850895","https://openalex.org/W1987483041","https://openalex.org/W2738168532","https://openalex.org/W4367471608","https://openalex.org/W2037328426","https://openalex.org/W2054439167","https://openalex.org/W2889956472","https://openalex.org/W2044594927","https://openalex.org/W2791078257"],"abstract_inverted_index":{"In":[0],"the":[1,45,56,84,105,110,118,125,141,182,211,229,239],"last":[2],"decade,":[3],"several":[4],"methods":[5],"have":[6,27],"been":[7,29],"developed":[8],"for":[9,33,51,61,77,124,201],"Local":[10],"Climate":[11],"Zone":[12],"(LCZ)":[13],"mapping,":[14],"encompassing":[15],"Remote":[16,72],"Sensing":[17,73],"and":[18,74,89,175],"Geographic":[19],"Information":[20],"Systems":[21],"(GIS)":[22],"\u2212based":[23],"procedures.":[24],"Combined":[25],"approaches":[26],"also":[28],"proposed":[30,81],"to":[31,66,82,104,108,129,139,150,216],"compensate":[32],"intrinsic":[34],"limitations":[35],"that":[36,208],"characterized":[37],"their":[38],"separate":[39],"application.":[40],"Recent":[41],"work":[42],"has":[43],"disclosed":[44],"potential":[46],"of":[47,58,86,121,197,213,224,233],"hyperspectral":[48,59,87],"satellite":[49],"imagery":[50],"improving":[52],"LCZ":[53,62,78,111,144,158,183,203],"identification.":[54],"However,":[55],"use":[57],"data":[60],"mapping":[63,79],"is":[64,80,102,115,136,169],"yet":[65],"be":[67],"fully":[68],"unfolded.":[69],"A":[70,132],"combined":[71],"GIS-based":[75],"method":[76,114],"exploit":[83],"integration":[85],"PRISMA":[88,147,162,200,209,234],"multispectral":[90],"Sentinel-2":[91,151],"images":[92],"with":[93,178,191,218,228],"ancillary":[94],"urban":[95],"canopy":[96],"parameter":[97],"layers.":[98],"Random":[99],"Forest":[100],"algorithm":[101],"applied":[103],"feature":[106],"sets":[107],"obtain":[109],"classification.":[112],"The":[113,165],"tested":[116],"on":[117,161,238],"Metropolitan":[119],"City":[120],"Milan":[122],"(Italy),":[123],"period":[126],"from":[127,181],"February":[128],"August":[130],"2023.":[131],"spectral":[133,159,231,235],"separability":[134,160,232],"analysis":[135],"carried":[137],"out":[138],"investigate":[140],"improvement":[142],"in":[143,148,157,226],"identification":[145],"using":[146,199],"comparison":[149],"data,":[152],"as":[153,155],"well":[154],"improvements":[156],"pan-sharpened":[163],"images.":[164],"resulting":[166],"maps\u2019":[167],"quality":[168],"evaluated":[170],"by":[171],"extracting":[172],"accuracy":[173],"metrics":[174],"performing":[176],"inter-comparisons":[177],"maps":[179],"computed":[180,237],"Generator":[184],"benchmark":[185],"tool.":[186],"Inter-comparisons":[187],"yield":[188],"promising":[189],"results":[190],"a":[192,219],"mean":[193,220],"Overall":[194,221],"Accuracy":[195,222],"increase":[196,223],"16%":[198],"each":[202],"class.":[204],"Furthermore,":[205],"we":[206],"find":[207],"improves":[210],"detection":[212],"LCZs":[214],"compared":[215],"Sentinel-2,":[217],"5%,":[225],"line":[227],"higher":[230],"signatures":[236],"training":[240],"samples.":[241]},"counts_by_year":[{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":4}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}
