{"id":"https://openalex.org/W2082137989","doi":"https://doi.org/10.1109/igarss.2012.6351886","title":"Airborne remote sensing for mapping asbestos roofs in aosta valley","display_name":"Airborne remote sensing for mapping asbestos roofs in aosta valley","publication_year":2012,"publication_date":"2012-07-01","ids":{"openalex":"https://openalex.org/W2082137989","doi":"https://doi.org/10.1109/igarss.2012.6351886","mag":"2082137989"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2012.6351886","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2012.6351886","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"conference-paper","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/A5000212211","display_name":"Federico Frassy","orcid":null},"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":"Federico Frassy","raw_affiliation_strings":["Laboratory of Remote Sensing (L@RS), Building Environment Sciences and Technology (BEST) Department, Politecnico di Milano, Milano, Italy","Laboratory of Remote Sensing (L@RS), Politecnico di Milano - Building Environment Sciences and Technology (BEST) Department, Piazza Leonardo da Vinci 32, 20133, ITALY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory of Remote Sensing (L@RS), Building Environment Sciences and Technology (BEST) Department, Politecnico di Milano, Milano, Italy","institution_ids":["https://openalex.org/I93860229"]},{"raw_affiliation_string":"Laboratory of Remote Sensing (L@RS), Politecnico di Milano - Building Environment Sciences and Technology (BEST) Department, Piazza Leonardo da Vinci 32, 20133, ITALY","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000549842","display_name":"Gabriele Candiani","orcid":"https://orcid.org/0000-0001-5270-071X"},"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":"Gabriele Candiani","raw_affiliation_strings":["Laboratory of Remote Sensing (L@RS), Building Environment Sciences and Technology (BEST) Department, Politecnico di Milano, Milano, Italy","Laboratory of Remote Sensing (L@RS), Politecnico di Milano - Building Environment Sciences and Technology (BEST) Department, Piazza Leonardo da Vinci 32, 20133, ITALY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory of Remote Sensing (L@RS), Building Environment Sciences and Technology (BEST) Department, Politecnico di Milano, Milano, Italy","institution_ids":["https://openalex.org/I93860229"]},{"raw_affiliation_string":"Laboratory of Remote Sensing (L@RS), Politecnico di Milano - Building Environment Sciences and Technology (BEST) Department, Piazza Leonardo da Vinci 32, 20133, ITALY","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018535478","display_name":"Pieralberto Maianti","orcid":null},"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":"Pieralberto Maianti","raw_affiliation_strings":["Laboratory of Remote Sensing (L@RS), Building Environment Sciences and Technology (BEST) Department, Politecnico di Milano, Milano, Italy","Laboratory of Remote Sensing (L@RS), Politecnico di Milano - Building Environment Sciences and Technology (BEST) Department, Piazza Leonardo da Vinci 32, 20133, ITALY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory of Remote Sensing (L@RS), Building Environment Sciences and Technology (BEST) Department, Politecnico di Milano, Milano, Italy","institution_ids":["https://openalex.org/I93860229"]},{"raw_affiliation_string":"Laboratory of Remote Sensing (L@RS), Politecnico di Milano - Building Environment Sciences and Technology (BEST) Department, Piazza Leonardo da Vinci 32, 20133, ITALY","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071843422","display_name":"Andrea Marchesi","orcid":"https://orcid.org/0000-0003-0493-9835"},"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":"Andrea Marchesi","raw_affiliation_strings":["Laboratory of Remote Sensing (L@RS), Building Environment Sciences and Technology (BEST) Department, Politecnico di Milano, Milano, Italy","Laboratory of Remote Sensing (L@RS), Politecnico di Milano - Building Environment Sciences and Technology (BEST) Department, Piazza Leonardo da Vinci 32, 20133, ITALY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory of Remote Sensing (L@RS), Building Environment Sciences and Technology (BEST) Department, Politecnico di Milano, Milano, Italy","institution_ids":["https://openalex.org/I93860229"]},{"raw_affiliation_string":"Laboratory of Remote Sensing (L@RS), Politecnico di Milano - Building Environment Sciences and Technology (BEST) Department, Piazza Leonardo da Vinci 32, 20133, ITALY","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059724695","display_name":"Francesco Rota Nodari","orcid":null},"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":"Francesco Rota Nodari","raw_affiliation_strings":["Laboratory of Remote Sensing (L@RS), Building Environment Sciences and Technology (BEST) Department, Politecnico di Milano, Milano, Italy","Laboratory of Remote Sensing (L@RS), Politecnico di Milano - Building Environment Sciences and Technology (BEST) Department, Piazza Leonardo da Vinci 32, 20133, ITALY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory of Remote Sensing (L@RS), Building Environment Sciences and Technology (BEST) Department, Politecnico di Milano, Milano, Italy","institution_ids":["https://openalex.org/I93860229"]},{"raw_affiliation_string":"Laboratory of Remote Sensing (L@RS), Politecnico di Milano - Building Environment Sciences and Technology (BEST) Department, Piazza Leonardo da Vinci 32, 20133, ITALY","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089492652","display_name":"Marco Rusmini","orcid":null},"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":"Marco Rusmini","raw_affiliation_strings":["Laboratory of Remote Sensing (L@RS), Building Environment Sciences and Technology (BEST) Department, Politecnico di Milano, Milano, Italy","Laboratory of Remote Sensing (L@RS), Politecnico di Milano - Building Environment Sciences and Technology (BEST) Department, Piazza Leonardo da Vinci 32, 20133, ITALY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory of Remote Sensing (L@RS), Building Environment Sciences and Technology (BEST) Department, Politecnico di Milano, Milano, Italy","institution_ids":["https://openalex.org/I93860229"]},{"raw_affiliation_string":"Laboratory of Remote Sensing (L@RS), Politecnico di Milano - Building Environment Sciences and Technology (BEST) Department, Piazza Leonardo da Vinci 32, 20133, ITALY","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051107389","display_name":"Carlo Albonico","orcid":null},"institutions":[{"id":"https://openalex.org/I4210145888","display_name":"Osservatorio Astronomico della Regione Autonoma Valle d'Aosta","ror":"https://ror.org/04ndj7y66","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210145888"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Carlo Albonico","raw_affiliation_strings":["ARPA Valle dAosta, Saint-Christophe, Italy","ARPA Valle d\u2019Aosta Loc. Grande Charri\u00e8re 44, 11020 Saint Christophe (AO), Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ARPA Valle dAosta, Saint-Christophe, Italy","institution_ids":[]},{"raw_affiliation_string":"ARPA Valle d\u2019Aosta Loc. Grande Charri\u00e8re 44, 11020 Saint Christophe (AO), Italy","institution_ids":["https://openalex.org/I4210145888"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051445642","display_name":"Marco Gianinetto","orcid":"https://orcid.org/0000-0002-6526-3093"},"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":"Marco Gianinetto","raw_affiliation_strings":["Laboratory of Remote Sensing (L@RS), Building Environment Sciences and Technology (BEST) Department, Politecnico di Milano, Milano, Italy","Laboratory of Remote Sensing (L@RS), Politecnico di Milano - Building Environment Sciences and Technology (BEST) Department, Piazza Leonardo da Vinci 32, 20133, ITALY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory of Remote Sensing (L@RS), Building Environment Sciences and Technology (BEST) Department, Politecnico di Milano, Milano, Italy","institution_ids":["https://openalex.org/I93860229"]},{"raw_affiliation_string":"Laboratory of Remote Sensing (L@RS), Politecnico di Milano - Building Environment Sciences and Technology (BEST) Department, Piazza Leonardo da Vinci 32, 20133, ITALY","institution_ids":["https://openalex.org/I93860229"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"87","issue":null,"first_page":"7541","last_page":"7544"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9966999888420105,"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"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9966999888420105,"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"}},{"id":"https://openalex.org/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10770","display_name":"Soil Geostatistics and Mapping","score":0.9821000099182129,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/asbestos","display_name":"Asbestos","score":0.9020633697509766},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.7237968444824219},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.5935462117195129},{"id":"https://openalex.org/keywords/thematic-map","display_name":"Thematic map","score":0.5843821167945862},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.5035025477409363},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.4444190263748169},{"id":"https://openalex.org/keywords/orographic-lift","display_name":"Orographic lift","score":0.43618693947792053},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.42774122953414917},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.37099510431289673},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.23862922191619873}],"concepts":[{"id":"https://openalex.org/C510490043","wikidata":"https://www.wikidata.org/wiki/Q104085","display_name":"Asbestos","level":2,"score":0.9020633697509766},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.7237968444824219},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.5935462117195129},{"id":"https://openalex.org/C93692415","wikidata":"https://www.wikidata.org/wiki/Q1502030","display_name":"Thematic map","level":2,"score":0.5843821167945862},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.5035025477409363},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.4444190263748169},{"id":"https://openalex.org/C134295995","wikidata":"https://www.wikidata.org/wiki/Q1506685","display_name":"Orographic lift","level":3,"score":0.43618693947792053},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.42774122953414917},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.37099510431289673},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.23862922191619873},{"id":"https://openalex.org/C107054158","wikidata":"https://www.wikidata.org/wiki/Q25257","display_name":"Precipitation","level":2,"score":0.0},{"id":"https://openalex.org/C191897082","wikidata":"https://www.wikidata.org/wiki/Q11467","display_name":"Metallurgy","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/igarss.2012.6351886","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2012.6351886","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},{"id":"pmh:oai:re.public.polimi.it:11311/686915","is_oa":false,"landing_page_url":"http://hdl.handle.net/11311/686915","pdf_url":null,"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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.6299999952316284,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1978064091","https://openalex.org/W2006136433","https://openalex.org/W2010319424","https://openalex.org/W2036903501","https://openalex.org/W2039580511","https://openalex.org/W2041968401","https://openalex.org/W2073179505","https://openalex.org/W2077973607","https://openalex.org/W2110246785","https://openalex.org/W2117575229","https://openalex.org/W2137866464","https://openalex.org/W2168527896","https://openalex.org/W2606306511","https://openalex.org/W4253602445"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W4318664220","https://openalex.org/W3034375524","https://openalex.org/W4230131218","https://openalex.org/W2070598848","https://openalex.org/W2022304901","https://openalex.org/W2018850895","https://openalex.org/W1987483041"],"abstract_inverted_index":{"This":[0,72],"paper":[1],"describes":[2],"the":[3,22,38,44,60,99,110],"use":[4,97],"of":[5,40,47,55,62,98],"airborne":[6],"hyperspectral":[7],"remote":[8,100],"sensing":[9,101],"for":[10,103,117,123],"mapping":[11,105],"asbestos":[12,41,48,63,84,104],"roofs":[13,64,85],"in":[14,19],"an":[15,95],"orographic":[16],"complex":[17],"area":[18],"Northern":[20],"Italy,":[21],"Aosta":[23],"Valley.":[24],"Using":[25],"training":[26],"samples":[27],"collected":[28],"during":[29],"field":[30],"surveys,":[31],"thematic":[32],"classification":[33],"was":[34],"able":[35],"to":[36,70,94],"detect":[37],"majority":[39],"surfaces.":[42],"Considering":[43],"total":[45],"amount":[46],"areas":[49,108],"validation":[50],"showed":[51],"a":[52,76,91],"correct":[53],"detection":[54],"about":[56],"80%,":[57],"while":[58],"considering":[59],"number":[61],"correctly":[65],"detected":[66],"this":[67],"value":[68],"decreased":[69],"43%.":[71],"difference":[73],"pointed":[74],"out":[75],"clear":[77],"relationship":[78],"between":[79],"data":[80],"spatial":[81],"resolution":[82],"and":[83,109,121],"area.":[86],"The":[87],"study":[88],"served":[89],"as":[90],"first":[92],"approach":[93],"extensive":[96],"technology":[102],"over":[106],"large":[107],"encouraging":[111],"results":[112],"will":[113],"support":[114],"Public":[115],"Administrations":[116],"decision":[118],"making":[119],"strategies":[120],"policies":[122],"their":[124],"removal.":[125]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
