{"id":"https://openalex.org/W2097911961","doi":"https://doi.org/10.1109/igarss.2004.1369922","title":"Modeling of snow wetness inversion using multi-polarization SAR at C-band","display_name":"Modeling of snow wetness inversion using multi-polarization SAR at C-band","publication_year":2004,"publication_date":"2004-12-23","ids":{"openalex":"https://openalex.org/W2097911961","doi":"https://doi.org/10.1109/igarss.2004.1369922","mag":"2097911961"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2004.1369922","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2004.1369922","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International IEEE International IEEE International Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004","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/A5012320123","display_name":"Yu Qin","orcid":"https://orcid.org/0000-0001-9993-8522"},"institutions":[{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qin Yu","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science, IRSA, Chinese Academy and Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, IRSA, Chinese Academy and Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210166112"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113547230","display_name":"Jiancheng Shi","orcid":null},"institutions":[{"id":"https://openalex.org/I154570441","display_name":"University of California, Santa Barbara","ror":"https://ror.org/02t274463","country_code":"US","type":"education","lineage":["https://openalex.org/I154570441"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Jiancheng Shi","raw_affiliation_strings":["Institute for Computational Earth System Science, University of California, Santa Barbara, USA","State Key Laboratory of Remote Sensing Science, IRSA, Chinese Academy and Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Computational Earth System Science, University of California, Santa Barbara, USA","institution_ids":["https://openalex.org/I154570441"]},{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, IRSA, Chinese Academy and Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210166112"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078805025","display_name":"Yun Shao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yun Shao","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science, IRSA, Chinese Academy and Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, IRSA, Chinese Academy and Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210166112"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100641712","display_name":"Wei Liu","orcid":"https://orcid.org/0000-0002-7439-0318"},"institutions":[{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Liu","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science, IRSA, Chinese Academy and Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, IRSA, Chinese Academy and Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210166112"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"6","issue":null,"first_page":"3696","last_page":"3699"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10644","display_name":"Cryospheric studies and observations","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10644","display_name":"Cryospheric studies and observations","score":0.9998999834060669,"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/T11312","display_name":"Soil Moisture and Remote Sensing","score":0.9997000098228455,"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/T11459","display_name":"Arctic and Antarctic ice dynamics","score":0.9995999932289124,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/snow","display_name":"Snow","score":0.8777891397476196},{"id":"https://openalex.org/keywords/scattering","display_name":"Scattering","score":0.8182411789894104},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5755323171615601},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.507051944732666},{"id":"https://openalex.org/keywords/surface-roughness","display_name":"Surface roughness","score":0.5021123886108398},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.4286876320838928},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.34700706601142883},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.3234412670135498},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.3175632953643799},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.2701174020767212},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.2341029942035675},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.223606139421463}],"concepts":[{"id":"https://openalex.org/C197046000","wikidata":"https://www.wikidata.org/wiki/Q7561","display_name":"Snow","level":2,"score":0.8777891397476196},{"id":"https://openalex.org/C191486275","wikidata":"https://www.wikidata.org/wiki/Q210028","display_name":"Scattering","level":2,"score":0.8182411789894104},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5755323171615601},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.507051944732666},{"id":"https://openalex.org/C107365816","wikidata":"https://www.wikidata.org/wiki/Q114817","display_name":"Surface roughness","level":2,"score":0.5021123886108398},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.4286876320838928},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.34700706601142883},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.3234412670135498},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.3175632953643799},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.2701174020767212},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.2341029942035675},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.223606139421463},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2004.1369922","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2004.1369922","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International IEEE International IEEE International Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Clean water and sanitation","id":"https://metadata.un.org/sdg/6","score":0.5}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1534053224","https://openalex.org/W1574673735","https://openalex.org/W2097272115","https://openalex.org/W2109898366","https://openalex.org/W2133013453","https://openalex.org/W2164558649","https://openalex.org/W6631824924","https://openalex.org/W6634435303","https://openalex.org/W6679911662"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2314704010","https://openalex.org/W1584003442","https://openalex.org/W2317224478","https://openalex.org/W2084452007","https://openalex.org/W2996275564","https://openalex.org/W2060524912","https://openalex.org/W2242764613","https://openalex.org/W597570173","https://openalex.org/W2888647938"],"abstract_inverted_index":{"Radar":[0],"backscattering":[1,76],"response":[2,92],"has":[3],"the":[4,41,60,68,91,104,135,170],"potential":[5],"of":[6,30,43,51],"retrieving":[7],"desired":[8],"snow":[9,13,16,45,65,94,112,139,185],"parameters,":[10],"such":[11],"as":[12],"water":[14,19],"equivalence,":[15],"depth,":[17],"liquid":[18],"content":[20],"which":[21,38,83],"are":[22,55],"important":[23],"factors":[24],"in":[25],"hydrological":[26],"investigation.":[27],"The":[28,132,160],"objective":[29],"this":[31,107,147],"study":[32],"is":[33,86],"to":[34,93,101,183],"develop":[35,48],"an":[36,96,149],"algorithm":[37,97,151,163],"can":[39,98,152],"decompose":[40],"scattering":[42,57,62,71,84,109,130,174,181],"wet":[44,79,138],"and":[46,67,88,111,142,172,176],"also":[47],"new":[49],"description":[50],"surface":[52,70,143,171],"scattering.":[53],"There":[54],"two":[56,108,129,166],"sources":[58,110],"-":[59,73,119],"volume":[61,173],"component":[63,72,85,182],"from":[64],"pack":[66],"air-snow":[69],"for":[74,155],"radar":[75],"while":[77],"observing":[78],"snow.":[80],"Depending":[81],"upon":[82],"dominant":[87],"then":[89,178],"controls":[90],"wetness,":[95],"be":[99,153],"developed":[100,154,162],"quantitatively":[102],"describe":[103],"relationship":[105],"between":[106],"wetness.":[113],"We":[114],"have":[115],"established":[116],"a":[117],"model":[118],"simulated":[120],"at":[121],"C-band":[122,157],"<sub":[123],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[124],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">a</sub>":[125],"ta-base":[126],"by":[127],"using":[128,156],"components.":[131],"database":[133],"covers":[134],"most":[136],"possible":[137],"physical":[140],"properties":[141],"roughness":[144],"conditions.":[145],"Using":[146],"data-base,":[148],"inversion":[150],"multi-polarization":[158],"measurements.":[159],"newly":[161],"mainly":[164],"involved":[165],"steps:":[167],"1)":[168],"decomposes":[169],"signals,":[175],"2)":[177],"use":[179],"each":[180],"estimate":[184],"wetness":[186]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
