{"id":"https://openalex.org/W2117694215","doi":"https://doi.org/10.1109/igarss.2005.1526633","title":"Monitoring flood using multi-temporal ENVISAT ASAR data","display_name":"Monitoring flood using multi-temporal ENVISAT ASAR data","publication_year":2005,"publication_date":"2005-11-15","ids":{"openalex":"https://openalex.org/W2117694215","doi":"https://doi.org/10.1109/igarss.2005.1526633","mag":"2117694215"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2005.1526633","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2005.1526633","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05.","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/A5100785875","display_name":"Xin Lv","orcid":"https://orcid.org/0000-0002-3864-881X"},"institutions":[{"id":"https://openalex.org/I4210160793","display_name":"Institute of Geographic Sciences and Natural Resources Research","ror":"https://ror.org/04t1cdb72","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210160793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"X. Lv","raw_affiliation_strings":["Institute of Geographical Sciences and Natural Resources, Data Center for Resources & Environment, Chinese Academy and Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Geographical Sciences and Natural Resources, Data Center for Resources & Environment, Chinese Academy and Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210160793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039227078","display_name":"Ronggao Liu","orcid":"https://orcid.org/0000-0003-2819-7178"},"institutions":[{"id":"https://openalex.org/I4210160793","display_name":"Institute of Geographic Sciences and Natural Resources Research","ror":"https://ror.org/04t1cdb72","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210160793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ronggao Liu","raw_affiliation_strings":["Institute of Geographical Sciences and Natural Resources, Data Center for Resources & Environment, Chinese Academy and Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Geographical Sciences and Natural Resources, Data Center for Resources & Environment, Chinese Academy and Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210160793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100657884","display_name":"Jiyuan Liu","orcid":"https://orcid.org/0000-0002-0621-9164"},"institutions":[{"id":"https://openalex.org/I4210160793","display_name":"Institute of Geographic Sciences and Natural Resources Research","ror":"https://ror.org/04t1cdb72","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210160793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiyuan Liu","raw_affiliation_strings":["Institute of Geographical Sciences and Natural Resources, Data Center for Resources & Environment, Chinese Academy and Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Geographical Sciences and Natural Resources, Data Center for Resources & Environment, Chinese Academy and Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210160793"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100886414","display_name":"Xianfang Song","orcid":null},"institutions":[{"id":"https://openalex.org/I4210160793","display_name":"Institute of Geographic Sciences and Natural Resources Research","ror":"https://ror.org/04t1cdb72","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210160793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianfang Song","raw_affiliation_strings":["Institute of Geographical Sciences and Natural Resources, Data Center for Resources & Environment, Chinese Academy and Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Geographical Sciences and Natural Resources, Data Center for Resources & Environment, Chinese Academy and Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210160793"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210160793"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.29466051,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"5","issue":null,"first_page":"3627","last_page":"3629"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9950000047683716,"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":0.9950000047683716,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9901000261306763,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.982200026512146,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/flood-myth","display_name":"Flood myth","score":0.7329384088516235},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.7073864936828613},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4153047502040863},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.3681092858314514},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10472026467323303}],"concepts":[{"id":"https://openalex.org/C74256435","wikidata":"https://www.wikidata.org/wiki/Q134052","display_name":"Flood myth","level":2,"score":0.7329384088516235},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.7073864936828613},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4153047502040863},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.3681092858314514},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10472026467323303},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2005.1526633","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2005.1526633","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1594031697","https://openalex.org/W1748932423","https://openalex.org/W1963140581","https://openalex.org/W2102953485","https://openalex.org/W2122166205","https://openalex.org/W2131448468","https://openalex.org/W2147387335","https://openalex.org/W2152944584","https://openalex.org/W2170882512","https://openalex.org/W3085162807","https://openalex.org/W6641342980"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2324615561","https://openalex.org/W2086120259","https://openalex.org/W2390279801","https://openalex.org/W2245170124","https://openalex.org/W2358668433","https://openalex.org/W3186982001","https://openalex.org/W2137941439","https://openalex.org/W1984402782","https://openalex.org/W2076393078"],"abstract_inverted_index":{"A":[0],"change":[1,38,48,76],"vector":[2,37],"based":[3],"method":[4],"for":[5,33],"extracting":[6],"flooded":[7],"area":[8],"from":[9,96],"multi-temporal":[10],"ENVISAT":[11,26],"ASAR":[12,27,94],"image":[13],"is":[14,71],"presented":[15],"in":[16,52,87],"this":[17],"paper.":[18],"The":[19,36],"high":[20],"resolution":[21],"and":[22],"multi-polarisation":[23],"modes":[24],"of":[25,49,59],"make":[28],"itself":[29],"a":[30],"useful":[31],"tool":[32],"flood":[34,86],"monitoring.":[35],"method,":[39],"which":[40],"has":[41,81],"been":[42,82],"used":[43],"extensively":[44],"to":[45,84,98],"detect":[46],"the":[47,60,66],"land":[50],"surface":[51],"optical":[53],"remote":[54],"sensing,":[55],"can":[56],"take":[57],"advantage":[58],"reference":[61],"images":[62],"information":[63],"recorded":[64],"during,":[65],"non-flooded":[67],"period":[68],"so":[69],"it":[70],"more":[72],"robust":[73],"than":[74],"other":[75],"detection":[77],"approaches.":[78],"This":[79],"technology":[80],"applied":[83],"monitor":[85],"Dongting":[88],"Lake,":[89],"China":[90],"using":[91],"six":[92],"temporal":[93],"data":[95],"June":[97],"October":[99],"2004.":[100]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}