{"id":"https://openalex.org/W3206247482","doi":"https://doi.org/10.1109/igarss47720.2021.9554029","title":"FY-3D/MERSI Global Surface Water Extraction Based on DNN Method","display_name":"FY-3D/MERSI Global Surface Water Extraction Based on DNN Method","publication_year":2021,"publication_date":"2021-07-11","ids":{"openalex":"https://openalex.org/W3206247482","doi":"https://doi.org/10.1109/igarss47720.2021.9554029","mag":"3206247482"},"language":"en","primary_location":{"id":"doi:10.1109/igarss47720.2021.9554029","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss47720.2021.9554029","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS","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/A5086447581","display_name":"Kuanle Bao","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]},{"id":"https://openalex.org/I2799486974","display_name":"China Geological Survey","ror":"https://ror.org/04wtq2305","country_code":"CN","type":"other","lineage":["https://openalex.org/I2799486974"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kuanle Bao","raw_affiliation_strings":["China Geological Survey, Yantai Coastal Zone Geological Survey Center, Yantai","University of Electronic Science and Technology of China, Chengdu, PR China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Geological Survey, Yantai Coastal Zone Geological Survey Center, Yantai","institution_ids":["https://openalex.org/I2799486974"]},{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, PR China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067812910","display_name":"Jinlong Fan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jinlong Fan","raw_affiliation_strings":["National Satellite Meteorological Center, Beijing, PR China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Satellite Meteorological Center, Beijing, PR China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100720681","display_name":"Wenbo Xu","orcid":"https://orcid.org/0000-0001-8704-1937"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenbo Xu","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, PR China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, PR China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046810955","display_name":"Chunliang Zhao","orcid":"https://orcid.org/0000-0002-2952-5906"},"institutions":[{"id":"https://openalex.org/I4210138501","display_name":"Chinese Academy of Agricultural Sciences","ror":"https://ror.org/0313jb750","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210127390","https://openalex.org/I4210138501","https://openalex.org/I4210151987"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunliang Zhao","raw_affiliation_strings":["Chinese Academy of Agricultural Sciences, Beijing, PR China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Agricultural Sciences, Beijing, PR China","institution_ids":["https://openalex.org/I4210138501"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031857309","display_name":"Wenhui Du","orcid":"https://orcid.org/0009-0004-7161-1623"},"institutions":[{"id":"https://openalex.org/I4210138501","display_name":"Chinese Academy of Agricultural Sciences","ror":"https://ror.org/0313jb750","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210127390","https://openalex.org/I4210138501","https://openalex.org/I4210151987"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenhui Du","raw_affiliation_strings":["Chinese Academy of Agricultural Sciences, Beijing, PR China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Agricultural Sciences, Beijing, PR China","institution_ids":["https://openalex.org/I4210138501"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.124693,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"7015","last_page":"7018"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10930","display_name":"Flood Risk Assessment and Management","score":0.9994000196456909,"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/T10930","display_name":"Flood Risk Assessment and Management","score":0.9994000196456909,"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/T10330","display_name":"Hydrology and Watershed Management Studies","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"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/T11490","display_name":"Hydrological Forecasting Using AI","score":0.9965000152587891,"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/sample","display_name":"Sample (material)","score":0.6167417764663696},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5786667466163635},{"id":"https://openalex.org/keywords/adaptability","display_name":"Adaptability","score":0.5717129111289978},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.5629657506942749},{"id":"https://openalex.org/keywords/standardization","display_name":"Standardization","score":0.5363242626190186},{"id":"https://openalex.org/keywords/shadow","display_name":"Shadow (psychology)","score":0.5091907382011414},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.4603860378265381},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4592421352863312},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4551619589328766},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.3322524428367615},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28342974185943604},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.162396639585495}],"concepts":[{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.6167417764663696},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5786667466163635},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.5717129111289978},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.5629657506942749},{"id":"https://openalex.org/C188087704","wikidata":"https://www.wikidata.org/wiki/Q369577","display_name":"Standardization","level":2,"score":0.5363242626190186},{"id":"https://openalex.org/C117797892","wikidata":"https://www.wikidata.org/wiki/Q286363","display_name":"Shadow (psychology)","level":2,"score":0.5091907382011414},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.4603860378265381},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4592421352863312},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4551619589328766},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.3322524428367615},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28342974185943604},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.162396639585495},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","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},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss47720.2021.9554029","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss47720.2021.9554029","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.4000000059604645,"display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W37667326","https://openalex.org/W2015029041","https://openalex.org/W2061852800","https://openalex.org/W2334867485","https://openalex.org/W2917236313","https://openalex.org/W3029999318","https://openalex.org/W3081674014","https://openalex.org/W3112988386","https://openalex.org/W4299404316","https://openalex.org/W6782379096"],"related_works":["https://openalex.org/W2357124094","https://openalex.org/W2387399993","https://openalex.org/W2389739210","https://openalex.org/W2348924972","https://openalex.org/W2365736347","https://openalex.org/W2047454415","https://openalex.org/W2070040999","https://openalex.org/W2387293848","https://openalex.org/W3121791438","https://openalex.org/W2378767206"],"abstract_inverted_index":{"The":[0,69,113],"acquisition":[1],"of":[2,7,10,13,53,146,153,163],"surface":[3,126],"water":[4,39],"information":[5,54,123],"is":[6,62,72],"great":[8],"significance":[9],"the":[11,19,35,66,81,90,95,99,104,122,147,151,164],"study":[12],"global":[14,110],"change.":[15],"In":[16],"this":[17,117],"study,":[18],"K\u00f6ppen":[20],"climate":[21,32],"zone":[22],"was":[23],"firstly":[24],"used":[25],"to":[26,64,85,93,97,160],"select":[27],"sample":[28,52,154],"data":[29,71,108],"onto":[30],"different":[31,102,130,144,161],"zones":[33],"around":[34],"world,":[36],"and":[37,40,83,136,156],"then":[38],"non-water":[41],"samples":[42],"were":[43],"collected":[44],"for":[45,101,106,129,142],"each":[46],"sample.":[47],"Get":[48],"as":[49,55,134],"complete":[50],"a":[51],"possible":[56],"worldwide.":[57],"Deep":[58],"Neural":[59],"Networks":[60],"method":[61,118,152],"adopted":[63],"improve":[65],"model":[67,105,157],"building,":[68],"features":[70],"FY3D/MERSI,":[73],"containing":[74],"6":[75],"bands":[76],"250m":[77],"resolution":[78],"data,":[79,88],"add":[80],"NDVI":[82],"EVI":[84],"enhance":[86,94],"characteristic":[87],"use":[89],"attention":[91],"mechanism":[92],"model,":[96],"strengthen":[98],"adaptability":[100],"regions,":[103],"predicting":[107],"using":[109],"standardization":[111],"process.":[112],"results":[114],"show":[115,149],"that":[116,150],"can":[119,158],"effectively":[120],"extract":[121],"on":[124],"land":[125],"water,":[127],"especially":[128],"disturbance":[131],"conditions":[132],"such":[133],"cloud":[135],"shadow":[137],"under":[138],"cloud.":[139],"Water":[140],"tests":[141],"33":[143],"regions":[145,162],"world":[148],"set":[155],"adapt":[159],"world.":[165]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
