{"id":"https://openalex.org/W3133376559","doi":"https://doi.org/10.1109/igarss39084.2020.9323327","title":"Detection of Changes in Impervious Surface Using Sentinel-2 Imagery","display_name":"Detection of Changes in Impervious Surface Using Sentinel-2 Imagery","publication_year":2020,"publication_date":"2020-09-26","ids":{"openalex":"https://openalex.org/W3133376559","doi":"https://doi.org/10.1109/igarss39084.2020.9323327","mag":"3133376559"},"language":"en","primary_location":{"id":"doi:10.1109/igarss39084.2020.9323327","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss39084.2020.9323327","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2020 - 2020 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/A5100395364","display_name":"Yiming Zhang","orcid":"https://orcid.org/0000-0002-4706-4066"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yiming Zhang","raw_affiliation_strings":["University of Maryland, College Park, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Maryland, College Park, MD, USA","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036705663","display_name":"Sergii Skakun","orcid":"https://orcid.org/0000-0002-9039-0174"},"institutions":[{"id":"https://openalex.org/I1306266525","display_name":"Goddard Space Flight Center","ror":"https://ror.org/0171mag52","country_code":"US","type":"facility","lineage":["https://openalex.org/I1306266525","https://openalex.org/I4210124779"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sergii Skakun","raw_affiliation_strings":["NASA Goddard Space Flight Center Code 619, Greenbelt, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NASA Goddard Space Flight Center Code 619, Greenbelt, MD, USA","institution_ids":["https://openalex.org/I1306266525"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004785089","display_name":"Victor Hugo Rohden Prudente","orcid":"https://orcid.org/0000-0002-0211-7099"},"institutions":[{"id":"https://openalex.org/I80849659","display_name":"Instituto Nacional de Pesquisas Espaciais","ror":"https://ror.org/04xbn6x09","country_code":"BR","type":"facility","lineage":["https://openalex.org/I4210151455","https://openalex.org/I80849659"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Victor Prudente","raw_affiliation_strings":["National Institute for Space Research (INPE), Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute for Space Research (INPE), Brazil","institution_ids":["https://openalex.org/I80849659"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"10","issue":null,"first_page":"4787","last_page":"4790"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9987000226974487,"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":0.9987000226974487,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"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":0.995199978351593,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/impervious-surface","display_name":"Impervious surface","score":0.826223611831665},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6061806678771973},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.4460170269012451},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.4187953472137451}],"concepts":[{"id":"https://openalex.org/C2668921","wikidata":"https://www.wikidata.org/wiki/Q1434713","display_name":"Impervious surface","level":2,"score":0.826223611831665},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6061806678771973},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.4460170269012451},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.4187953472137451},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss39084.2020.9323327","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss39084.2020.9323327","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.49000000953674316,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W252376446","https://openalex.org/W2056435747","https://openalex.org/W2109647617","https://openalex.org/W2218782803","https://openalex.org/W2307094448","https://openalex.org/W2344328155","https://openalex.org/W2523195368","https://openalex.org/W2598308383","https://openalex.org/W2793728001","https://openalex.org/W2901179012","https://openalex.org/W2915254566","https://openalex.org/W2917260472","https://openalex.org/W2950990958"],"related_works":["https://openalex.org/W2103304560","https://openalex.org/W2386412015","https://openalex.org/W2516041283","https://openalex.org/W2138525864","https://openalex.org/W2135659353","https://openalex.org/W2383104714","https://openalex.org/W2364685623","https://openalex.org/W2889705434","https://openalex.org/W2900740424","https://openalex.org/W2243495481"],"abstract_inverted_index":{"Detecting":[0],"changes":[1,111],"in":[2,13,36,67],"impervious":[3],"surface":[4],"cover":[5,15,65,92],"is":[6,83],"one":[7,106],"of":[8,39,59,110],"the":[9,37,73],"most":[10],"important":[11],"topics":[12],"land":[14,17,64,91],"and":[16,34,69,71],"use":[18,56],"(LCLU)":[19],"change.":[20],"This":[21],"study":[22],"focuses":[23],"on":[24],"detecting":[25],"infrastructure":[26],"constructions,":[27],"such":[28],"as":[29],"residential":[30],"areas,":[31],"commercial":[32],"building,":[33],"roads,":[35],"State":[38],"Maryland":[40],"(US)":[41],"from":[42],"2018":[43,68],"to":[44,62,85,107],"2019":[45,70],"by":[46],"utilizing":[47],"Sentinel-2":[48,60],"images":[49,61,88],"at":[50],"10":[51],"m":[52],"spatial":[53],"resolution.":[54],"We":[55],"a":[57],"time-series":[58],"derive":[63,72],"maps":[66],"change":[74,102],"detection":[75,103],"map.":[76],"The":[77,100],"multi-layer":[78],"perceptron":[79],"(MLP)":[80],"neural":[81],"network":[82],"used":[84],"classify":[86],"satellite":[87],"into":[89],"general":[90],"classes":[93],"(impervious":[94],"surface,":[95],"forest/tree":[96],"cover,":[97],"grassland/cropland,":[98],"water).":[99],"derived":[101],"map":[104],"allows":[105],"identify":[108],"areas":[109],"with":[112],"new":[113],"constructions.":[114]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}