{"id":"https://openalex.org/W4387803725","doi":"https://doi.org/10.1109/igarss52108.2023.10281694","title":"Soil Moisture Retrieval over Crop Region using Time-Series High-Resolution RCM Data","display_name":"Soil Moisture Retrieval over Crop Region using Time-Series High-Resolution RCM Data","publication_year":2023,"publication_date":"2023-07-16","ids":{"openalex":"https://openalex.org/W4387803725","doi":"https://doi.org/10.1109/igarss52108.2023.10281694"},"language":"en","primary_location":{"id":"doi:10.1109/igarss52108.2023.10281694","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/igarss52108.2023.10281694","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2023 - 2023 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/A5033415752","display_name":"Xin Zhou","orcid":"https://orcid.org/0000-0003-1321-510X"},"institutions":[{"id":"https://openalex.org/I125749732","display_name":"Western University","ror":"https://ror.org/02grkyz14","country_code":"CA","type":"education","lineage":["https://openalex.org/I125749732"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Xin Zhou","raw_affiliation_strings":["The University of Western Ontario,Department of Geography and Environment,London,ON,Canada,N6A 5C2"],"affiliations":[{"raw_affiliation_string":"The University of Western Ontario,Department of Geography and Environment,London,ON,Canada,N6A 5C2","institution_ids":["https://openalex.org/I125749732"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006022882","display_name":"Jinfei Wang","orcid":"https://orcid.org/0000-0002-8404-0530"},"institutions":[{"id":"https://openalex.org/I125749732","display_name":"Western University","ror":"https://ror.org/02grkyz14","country_code":"CA","type":"education","lineage":["https://openalex.org/I125749732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jinfei Wang","raw_affiliation_strings":["The University of Western Ontario,Department of Geography and Environment,London,ON,Canada,N6A 5C2"],"affiliations":[{"raw_affiliation_string":"The University of Western Ontario,Department of Geography and Environment,London,ON,Canada,N6A 5C2","institution_ids":["https://openalex.org/I125749732"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5033415752"],"corresponding_institution_ids":["https://openalex.org/I125749732"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13012551,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3578","last_page":"3581"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11312","display_name":"Soil Moisture and Remote Sensing","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11312","display_name":"Soil Moisture and Remote Sensing","score":1.0,"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"}},{"id":"https://openalex.org/T11234","display_name":"Precipitation Measurement and Analysis","score":0.9983999729156494,"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/T10801","display_name":"Synthetic Aperture Radar (SAR) Applications and Techniques","score":0.9952999949455261,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.7751990556716919},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6884702444076538},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.608072817325592},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5175485014915466},{"id":"https://openalex.org/keywords/water-content","display_name":"Water content","score":0.4998962879180908},{"id":"https://openalex.org/keywords/backscatter","display_name":"Backscatter (email)","score":0.49321526288986206},{"id":"https://openalex.org/keywords/surface-roughness","display_name":"Surface roughness","score":0.4694960415363312},{"id":"https://openalex.org/keywords/soil-science","display_name":"Soil science","score":0.44356369972229004},{"id":"https://openalex.org/keywords/canopy","display_name":"Canopy","score":0.4407602548599243},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4265170693397522},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.21780329942703247},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21155008673667908},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.13676214218139648},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.13321980834007263},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.0991533100605011}],"concepts":[{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.7751990556716919},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6884702444076538},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.608072817325592},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5175485014915466},{"id":"https://openalex.org/C24939127","wikidata":"https://www.wikidata.org/wiki/Q373499","display_name":"Water content","level":2,"score":0.4998962879180908},{"id":"https://openalex.org/C30354325","wikidata":"https://www.wikidata.org/wiki/Q204667","display_name":"Backscatter (email)","level":3,"score":0.49321526288986206},{"id":"https://openalex.org/C107365816","wikidata":"https://www.wikidata.org/wiki/Q114817","display_name":"Surface roughness","level":2,"score":0.4694960415363312},{"id":"https://openalex.org/C159390177","wikidata":"https://www.wikidata.org/wiki/Q9161265","display_name":"Soil science","level":1,"score":0.44356369972229004},{"id":"https://openalex.org/C101000010","wikidata":"https://www.wikidata.org/wiki/Q5033434","display_name":"Canopy","level":2,"score":0.4407602548599243},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4265170693397522},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.21780329942703247},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21155008673667908},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.13676214218139648},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.13321980834007263},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0991533100605011},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0},{"id":"https://openalex.org/C187320778","wikidata":"https://www.wikidata.org/wiki/Q1349130","display_name":"Geotechnical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss52108.2023.10281694","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/igarss52108.2023.10281694","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4000000059604645,"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1970582325","https://openalex.org/W2044927495","https://openalex.org/W2092055157","https://openalex.org/W2117554345","https://openalex.org/W2126895410","https://openalex.org/W2133692703","https://openalex.org/W2155411643","https://openalex.org/W2975910156","https://openalex.org/W3160578723","https://openalex.org/W4283659968"],"related_works":["https://openalex.org/W2347729776","https://openalex.org/W2081457971","https://openalex.org/W2028659695","https://openalex.org/W2072749356","https://openalex.org/W2587804871","https://openalex.org/W2014400117","https://openalex.org/W4389236673","https://openalex.org/W2423785987","https://openalex.org/W2008518276","https://openalex.org/W2152662390"],"abstract_inverted_index":{"Synthetic":[0],"aperture":[1],"radar":[2],"(SAR),":[3],"as":[4,164],"an":[5,88],"active":[6],"microwave":[7],"sensor,":[8],"has":[9],"proven":[10],"to":[11,34],"be":[12],"effective":[13],"in":[14,45,115,138,148],"retrieving":[15],"soil":[16,40,58],"moisture":[17],"(SM)":[18],"over":[19,28,100],"the":[20,35,55,62,70,75,97,139,149,157,173],"past":[21],"few":[22],"decades.":[23],"However,":[24,69],"accurately":[25],"estimating":[26],"SM":[27,80,94,170],"agricultural":[29],"regions":[30],"is":[31],"challenging":[32],"due":[33],"complex":[36],"interactions":[37],"between":[38],"SM,":[39],"roughness,":[41],"and":[42,117,130,135,142,145],"vegetation,":[43],"resulting":[44],"mixed":[46],"backscattering":[47],"signals.":[48],"The":[49,153],"change":[50,90],"detection":[51,91],"(CD)":[52],"method":[53,92,155],"eliminates":[54],"influence":[56],"of":[57,64,127],"roughness":[59],"by":[60,74],"employing":[61],"ratio":[63],"two":[65],"consecutive":[66],"SAR":[67,107],"images.":[68],"volume":[71,99],"scattering":[72],"caused":[73],"crop":[76],"canopy":[77],"still":[78],"affects":[79],"estimation.":[81],"To":[82],"mitigate":[83],"this":[84],"limitation,":[85],"we":[86],"propose":[87],"advanced":[89],"for":[93,133,168],"retrieval":[95,171],"using":[96,111],"random":[98],"ground":[101],"(RVoG)":[102],"decomposition":[103],"on":[104],"time-series":[105,113],"compact-polarization":[106],"data.":[108],"Experimental":[109],"results":[110],"high-resolution":[112],"RCM":[114],"corn":[116,140],"soybean":[118,150],"fields":[119],"show":[120],"promising":[121],"performance,":[122],"with":[123],"root-mean-square-error":[124],"(RMSE)":[125],"values":[126],"10.34":[128],"Vol.%":[129,132,144,147],"7.41":[131],"RCH":[134],"RCV":[136],"polarization":[137],"field":[141],"6.47":[143],"5.03":[146],"field,":[151],"respectively.":[152],"proposed":[154],"outperforms":[156],"original":[158],"CD":[159],"method,":[160],"highlighting":[161],"its":[162],"potential":[163],"a":[165],"reliable":[166],"alternative":[167],"consistent":[169],"from":[172],"RCM.":[174]},"counts_by_year":[],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}
