{"id":"https://openalex.org/W2988370883","doi":"https://doi.org/10.1109/igarss.2019.8898326","title":"Estimation of Fuel Moisture Content Based on Quad Polarimetric Decomposition Parameters of Radarsat-2 Data","display_name":"Estimation of Fuel Moisture Content Based on Quad Polarimetric Decomposition Parameters of Radarsat-2 Data","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2988370883","doi":"https://doi.org/10.1109/igarss.2019.8898326","mag":"2988370883"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2019.8898326","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2019.8898326","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium","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/A5064227101","display_name":"Long Wang","orcid":"https://orcid.org/0000-0001-6059-0020"},"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":"Long Wang","raw_affiliation_strings":["School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, Sichuan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100671875","display_name":"Binbin He","orcid":"https://orcid.org/0000-0002-0668-6520"},"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":"Binbin He","raw_affiliation_strings":["School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, Sichuan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065238728","display_name":"Xingwen Quan","orcid":"https://orcid.org/0000-0001-5344-1801"},"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":"Xingwen Quan","raw_affiliation_strings":["School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, Sichuan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083693426","display_name":"Minfeng Xing","orcid":"https://orcid.org/0000-0002-5369-4638"},"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":"Minfeng Xing","raw_affiliation_strings":["School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, Sichuan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030042823","display_name":"Xiangzhuo Liu","orcid":"https://orcid.org/0000-0002-1690-7083"},"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":"Xiangzhuo Liu","raw_affiliation_strings":["School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, Sichuan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I150229711"]}]}],"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":1,"citation_normalized_percentile":{"value":0.17134376,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"9934","last_page":"9937"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/T10644","display_name":"Cryospheric studies and observations","score":0.9991999864578247,"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/T10535","display_name":"Landslides and related hazards","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2308","display_name":"Management, Monitoring, Policy and Law"},"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/polarimetry","display_name":"Polarimetry","score":0.764904260635376},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.7602839469909668},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.6160068511962891},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5541010499000549},{"id":"https://openalex.org/keywords/water-content","display_name":"Water content","score":0.5227263569831848},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.4815157353878021},{"id":"https://openalex.org/keywords/correlation-coefficient","display_name":"Correlation coefficient","score":0.41344499588012695},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.39979517459869385},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3177807331085205},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17142564058303833},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.14352884888648987},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.12239629030227661},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12219896912574768},{"id":"https://openalex.org/keywords/scattering","display_name":"Scattering","score":0.08101588487625122},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.07328030467033386},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.06971043348312378}],"concepts":[{"id":"https://openalex.org/C28493345","wikidata":"https://www.wikidata.org/wiki/Q899381","display_name":"Polarimetry","level":3,"score":0.764904260635376},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.7602839469909668},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.6160068511962891},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5541010499000549},{"id":"https://openalex.org/C24939127","wikidata":"https://www.wikidata.org/wiki/Q373499","display_name":"Water content","level":2,"score":0.5227263569831848},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.4815157353878021},{"id":"https://openalex.org/C2780092901","wikidata":"https://www.wikidata.org/wiki/Q3433612","display_name":"Correlation coefficient","level":2,"score":0.41344499588012695},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.39979517459869385},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3177807331085205},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17142564058303833},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.14352884888648987},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.12239629030227661},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12219896912574768},{"id":"https://openalex.org/C191486275","wikidata":"https://www.wikidata.org/wiki/Q210028","display_name":"Scattering","level":2,"score":0.08101588487625122},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.07328030467033386},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.06971043348312378},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C187320778","wikidata":"https://www.wikidata.org/wiki/Q1349130","display_name":"Geotechnical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2019.8898326","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2019.8898326","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1608631099","https://openalex.org/W2044781968","https://openalex.org/W2078985447","https://openalex.org/W2097272115","https://openalex.org/W2130762895","https://openalex.org/W2133989913","https://openalex.org/W2141424348","https://openalex.org/W2154830216","https://openalex.org/W2295766255","https://openalex.org/W2655351493","https://openalex.org/W2736290716","https://openalex.org/W2901059561","https://openalex.org/W2907001290"],"related_works":["https://openalex.org/W2026860918","https://openalex.org/W2035593284","https://openalex.org/W2612145225","https://openalex.org/W2225281849","https://openalex.org/W2161058488","https://openalex.org/W2324949438","https://openalex.org/W173514170","https://openalex.org/W2389173272","https://openalex.org/W4382982879","https://openalex.org/W4311044000"],"abstract_inverted_index":{"Fuel":[0],"moisture":[1],"content":[2],"(FMC)":[3],"is":[4],"a":[5,80],"critical":[6],"variable":[7],"in":[8,56,134],"assessing":[9],"wildfire":[10],"risk":[11],"and":[12,46,50,104,113,129],"its":[13],"behavior.":[14],"Previous":[15],"studies":[16],"normally":[17],"focused":[18],"on":[19,23,83],"the":[20,37,62,77,84,100,118,122,135],"methodologies":[21],"based":[22,82],"optical":[24],"remote":[25],"sensing":[26],"data":[27],"for":[28,61,79,127],"FMC":[29,78,133],"retrieval.":[30],"However,":[31],"active":[32],"microwave":[33],"technique,":[34],"which":[35,65],"processes":[36],"advantage":[38],"of":[39,89,132],"high":[40],"sensitivity":[41],"to":[42,111,117],"surface":[43,57],"moisture,":[44],"all-weather":[45],"all-time":[47],"work":[48],"capability":[49],"strong":[51],"penetrability,":[52],"attracted":[53],"more":[54,67],"attention":[55],"parameter":[58],"monitoring,":[59],"particularly":[60],"polarimetric":[63,90],"SAR":[64],"provides":[66],"sufficient":[68],"object":[69],"scatter":[70],"characteristic.":[71],"In":[72],"this":[73],"paper,":[74],"we":[75],"retrieved":[76],"grassland":[81],"multiple":[85],"linear":[86],"regression":[87],"analysis":[88],"decomposition":[91],"parameters":[92],"from":[93],"Radarsat-2":[94],"data.":[95],"The":[96],"results":[97],"show":[98],"that":[99],"correlation":[101],"coefficient":[102],"(R)":[103],"root":[105],"mean":[106],"square":[107],"error":[108],"(RMSE)":[109],"reached":[110],"0.658":[112],"30.319%":[114],"when":[115],"compared":[116],"measured":[119],"FMC.":[120],"Finally,":[121],"presented":[123],"method":[124],"was":[125],"used":[126],"spatial":[128],"temporal":[130],"mapping":[131],"target":[136],"study":[137],"area.":[138]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
