{"id":"https://openalex.org/W2547124627","doi":"https://doi.org/10.1109/igarss.2016.7729429","title":"Evaluation of errors induced by soil dielectric models for soil moisture retrieval at L-band","display_name":"Evaluation of errors induced by soil dielectric models for soil moisture retrieval at L-band","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2547124627","doi":"https://doi.org/10.1109/igarss.2016.7729429","mag":"2547124627"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2016.7729429","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2016.7729429","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 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/A5052489869","display_name":"Peng Guo","orcid":"https://orcid.org/0000-0002-3692-0453"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]},{"id":"https://openalex.org/I74485261","display_name":"Shandong Agricultural University","ror":"https://ror.org/02ke8fw32","country_code":"CN","type":"education","lineage":["https://openalex.org/I74485261"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Peng Guo","raw_affiliation_strings":["Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Beijing, China","College of Information Science and Engineering, Shandong Agricultural University, Taian, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Beijing, China","institution_ids":["https://openalex.org/I4210128053","https://openalex.org/I19820366"]},{"raw_affiliation_string":"College of Information Science and Engineering, Shandong Agricultural University, Taian, China","institution_ids":["https://openalex.org/I74485261"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006636279","display_name":"Jiancheng Shi","orcid":"https://orcid.org/0000-0002-6163-2912"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210128053","display_name":"Institute of Remote Sensing and Digital Earth","ror":"https://ror.org/02cjszf03","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128053"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiancheng Shi","raw_affiliation_strings":["Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Beijing, China","institution_ids":["https://openalex.org/I4210128053","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068472586","display_name":"Bo Gao","orcid":"https://orcid.org/0000-0002-1187-3670"},"institutions":[{"id":"https://openalex.org/I96852419","display_name":"Capital Normal University","ror":"https://ror.org/005edt527","country_code":"CN","type":"education","lineage":["https://openalex.org/I96852419"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Gao","raw_affiliation_strings":["Beijing Laboratory of Water Resource Security, Capital Normal University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Laboratory of Water Resource Security, Capital Normal University, Beijing, China","institution_ids":["https://openalex.org/I96852419"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110686224","display_name":"Hong Wan","orcid":null},"institutions":[{"id":"https://openalex.org/I74485261","display_name":"Shandong Agricultural University","ror":"https://ror.org/02ke8fw32","country_code":"CN","type":"education","lineage":["https://openalex.org/I74485261"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Wan","raw_affiliation_strings":["College of Information Science and Engineering, Shandong Agricultural University, Taian, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Shandong Agricultural University, Taian, China","institution_ids":["https://openalex.org/I74485261"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5052489869"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210128053","https://openalex.org/I74485261"],"apc_list":null,"apc_paid":null,"fwci":0.7959,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.74009284,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1679","last_page":"1682"},"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":0.9940999746322632,"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/T10716","display_name":"Soil and Unsaturated Flow","score":0.9855999946594238,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/water-content","display_name":"Water content","score":0.780590295791626},{"id":"https://openalex.org/keywords/dielectric","display_name":"Dielectric","score":0.7702559232711792},{"id":"https://openalex.org/keywords/soil-science","display_name":"Soil science","score":0.7500733733177185},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.5936366319656372},{"id":"https://openalex.org/keywords/soil-texture","display_name":"Soil texture","score":0.5648733377456665},{"id":"https://openalex.org/keywords/pedotransfer-function","display_name":"Pedotransfer function","score":0.5523276925086975},{"id":"https://openalex.org/keywords/soil-water","display_name":"Soil water","score":0.5393639802932739},{"id":"https://openalex.org/keywords/moisture","display_name":"Moisture","score":0.4702664315700531},{"id":"https://openalex.org/keywords/empirical-modelling","display_name":"Empirical modelling","score":0.4145444631576538},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.36124658584594727},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3596048355102539},{"id":"https://openalex.org/keywords/geotechnical-engineering","display_name":"Geotechnical engineering","score":0.2752317190170288},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.2573210597038269},{"id":"https://openalex.org/keywords/composite-material","display_name":"Composite material","score":0.1315057873725891},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.09177881479263306}],"concepts":[{"id":"https://openalex.org/C24939127","wikidata":"https://www.wikidata.org/wiki/Q373499","display_name":"Water content","level":2,"score":0.780590295791626},{"id":"https://openalex.org/C133386390","wikidata":"https://www.wikidata.org/wiki/Q184996","display_name":"Dielectric","level":2,"score":0.7702559232711792},{"id":"https://openalex.org/C159390177","wikidata":"https://www.wikidata.org/wiki/Q9161265","display_name":"Soil science","level":1,"score":0.7500733733177185},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.5936366319656372},{"id":"https://openalex.org/C175963888","wikidata":"https://www.wikidata.org/wiki/Q5026010","display_name":"Soil texture","level":3,"score":0.5648733377456665},{"id":"https://openalex.org/C164285268","wikidata":"https://www.wikidata.org/wiki/Q7159349","display_name":"Pedotransfer function","level":4,"score":0.5523276925086975},{"id":"https://openalex.org/C159750122","wikidata":"https://www.wikidata.org/wiki/Q96621023","display_name":"Soil water","level":2,"score":0.5393639802932739},{"id":"https://openalex.org/C176864760","wikidata":"https://www.wikidata.org/wiki/Q217651","display_name":"Moisture","level":2,"score":0.4702664315700531},{"id":"https://openalex.org/C133199616","wikidata":"https://www.wikidata.org/wiki/Q25386885","display_name":"Empirical modelling","level":2,"score":0.4145444631576538},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.36124658584594727},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3596048355102539},{"id":"https://openalex.org/C187320778","wikidata":"https://www.wikidata.org/wiki/Q1349130","display_name":"Geotechnical engineering","level":1,"score":0.2752317190170288},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.2573210597038269},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.1315057873725891},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.09177881479263306},{"id":"https://openalex.org/C49040817","wikidata":"https://www.wikidata.org/wiki/Q193091","display_name":"Optoelectronics","level":1,"score":0.0},{"id":"https://openalex.org/C63184880","wikidata":"https://www.wikidata.org/wiki/Q2783041","display_name":"Hydraulic conductivity","level":3,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2016.7729429","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2016.7729429","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 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/15","score":0.5199999809265137,"display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1995167593","https://openalex.org/W2000493310","https://openalex.org/W2039348932","https://openalex.org/W2044927495","https://openalex.org/W2069756757","https://openalex.org/W2132549823","https://openalex.org/W2151586007"],"related_works":["https://openalex.org/W1595357581","https://openalex.org/W3151258007","https://openalex.org/W4390630112","https://openalex.org/W2078885008","https://openalex.org/W2055943790","https://openalex.org/W2267584387","https://openalex.org/W2008759850","https://openalex.org/W4226528180","https://openalex.org/W2118544387","https://openalex.org/W2022097401"],"abstract_inverted_index":{"Soil":[0],"moisture":[1,24,54,180],"is":[2,19],"an":[3],"important":[4],"parameter":[5],"for":[6,21,52,97,150],"the":[7,16,42,56,59,62,66,77,115,135,151,158,162,170],"terrestrial":[8],"water,":[9],"energy":[10],"and":[11,34,65,76,109],"carbon":[12],"cycles.":[13],"Measurement":[14],"of":[15,32,79,81,91,138],"dielectric":[17,50,71,93,118,124,164],"properties":[18],"critical":[20],"near-surface":[22],"soil":[23,49,53,84,92,99,117,123,139,145,176,179],"estimation":[25],"using":[26],"microwave":[27],"remote":[28],"sensing.":[29],"A":[30],"number":[31],"empirical":[33],"semi-empirical":[35],"models":[36,51,128],"have":[37],"been":[38],"derived":[39],"to":[40,131],"describe":[41],"relationship.":[43],"In":[44],"this":[45],"study,":[46],"four":[47,116],"widely-used":[48],"retrieval,":[55],"Wang-Schmugge":[57],"model,":[58,61,64],"Dobson":[60],"Hallikainen":[63],"GRMDM":[67],"(generalized":[68],"refractive":[69],"mixing":[70,165],"model)":[72],"model":[73,166],"were":[74,86,95],"compared":[75],"effect":[78],"uncertainties":[80],"them":[82],"on":[83],"retrievals":[85],"also":[87],"investigated.":[88],"Theoretical":[89],"values":[90],"constant":[94,119],"calculated":[96,126],"three":[98],"textures":[100],"(60%":[101],"sand,":[102,106,111],"20%":[103,110],"clay;":[104,108],"30%":[105,107],"60%":[112],"clay)":[113],"with":[114],"models.":[120],"The":[121,154],"effective":[122],"constants":[125],"by":[127,143,161],"are":[129],"seen":[130],"differ":[132],"more":[133],"as":[134],"sand":[136],"content":[137],"increases.":[140],"Errors":[141],"induced":[142,160],"wrong":[144],"texture":[146],"may":[147,167],"exceed":[148],"10%":[149],"worst":[152],"case.":[153],"results":[155],"indicate":[156],"that":[157],"errors":[159],"alternative":[163],"be":[168],"over":[169],"standard":[171],"accuracy":[172],"requirement":[173],"(4%":[174],"volumetric":[175],"moisture)":[177],"in":[178],"retrievals.":[181]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
