{"id":"https://openalex.org/W2901297239","doi":"https://doi.org/10.1109/igarss.2018.8518325","title":"Snow Density Estimation Based on SNR Amplitude Attenuation Modeling and Matching","display_name":"Snow Density Estimation Based on SNR Amplitude Attenuation Modeling and Matching","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2901297239","doi":"https://doi.org/10.1109/igarss.2018.8518325","mag":"2901297239"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2018.8518325","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2018.8518325","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium","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/A5086263831","display_name":"Xin Chang","orcid":"https://orcid.org/0000-0001-5083-4108"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Chang","raw_affiliation_strings":["School of Geodesy and geomatics and Collaborative Innovation Center for Geospatial Technology, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Geodesy and geomatics and Collaborative Innovation Center for Geospatial Technology, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080131701","display_name":"Kegen Yu","orcid":"https://orcid.org/0000-0001-7710-3073"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kegen Yu","raw_affiliation_strings":["School of Environmental Science and Spatial Informatics, China University of Mining and Technology, Xuzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Environmental Science and Spatial Informatics, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101805157","display_name":"Yunwei Li","orcid":"https://orcid.org/0000-0003-4011-2018"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunwei Li","raw_affiliation_strings":["School of Geodesy and geomatics and Collaborative Innovation Center for Geospatial Technology, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Geodesy and geomatics and Collaborative Innovation Center for Geospatial Technology, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109371354","display_name":"Jiancheng Li","orcid":"https://orcid.org/0000-0002-4475-8900"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiancheng Li","raw_affiliation_strings":["School of Geodesy and geomatics and Collaborative Innovation Center for Geospatial Technology, Wuhan University, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Geodesy and geomatics and Collaborative Innovation Center for Geospatial Technology, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"11","issue":null,"first_page":"3173","last_page":"3176"},"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":0.9998000264167786,"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":0.9991999864578247,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/snow","display_name":"Snow","score":0.9141986966133118},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6446273922920227},{"id":"https://openalex.org/keywords/gnss-applications","display_name":"GNSS applications","score":0.6370759606361389},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.5417296886444092},{"id":"https://openalex.org/keywords/amplitude","display_name":"Amplitude","score":0.49653249979019165},{"id":"https://openalex.org/keywords/attenuation","display_name":"Attenuation","score":0.4958065450191498},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.49188828468322754},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.47170114517211914},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4642210006713867},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.44121870398521423},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.22974222898483276},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.18471765518188477},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14216068387031555},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.13988196849822998},{"id":"https://openalex.org/keywords/aerospace-engineering","display_name":"Aerospace engineering","score":0.13574135303497314},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1332108974456787},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.13274839520454407},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.10516110062599182},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.08730289340019226}],"concepts":[{"id":"https://openalex.org/C197046000","wikidata":"https://www.wikidata.org/wiki/Q7561","display_name":"Snow","level":2,"score":0.9141986966133118},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6446273922920227},{"id":"https://openalex.org/C14279187","wikidata":"https://www.wikidata.org/wiki/Q5514012","display_name":"GNSS applications","level":3,"score":0.6370759606361389},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.5417296886444092},{"id":"https://openalex.org/C180205008","wikidata":"https://www.wikidata.org/wiki/Q159190","display_name":"Amplitude","level":2,"score":0.49653249979019165},{"id":"https://openalex.org/C184652730","wikidata":"https://www.wikidata.org/wiki/Q2357982","display_name":"Attenuation","level":2,"score":0.4958065450191498},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.49188828468322754},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.47170114517211914},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4642210006713867},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.44121870398521423},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.22974222898483276},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.18471765518188477},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14216068387031555},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.13988196849822998},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.13574135303497314},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1332108974456787},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.13274839520454407},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.10516110062599182},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.08730289340019226}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2018.8518325","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2018.8518325","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Clean water and sanitation","score":0.6499999761581421,"id":"https://metadata.un.org/sdg/6"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1895139980","https://openalex.org/W2014082923","https://openalex.org/W2015414779","https://openalex.org/W2017500843","https://openalex.org/W2041076557","https://openalex.org/W2099845873","https://openalex.org/W2113454568","https://openalex.org/W2133906924","https://openalex.org/W2136609996","https://openalex.org/W2138739648","https://openalex.org/W2169973869","https://openalex.org/W2405881380"],"related_works":["https://openalex.org/W4386936491","https://openalex.org/W3007931018","https://openalex.org/W3110195467","https://openalex.org/W3033823235","https://openalex.org/W2881093137","https://openalex.org/W4391128647","https://openalex.org/W4384916587","https://openalex.org/W2163330330","https://openalex.org/W2107769605","https://openalex.org/W2085375935"],"abstract_inverted_index":{"Continuous":[0],"and":[1,14,21,47,67],"reliable":[2],"monitoring":[3,69],"of":[4,11,29,44,70,88,94,121],"world-wide":[5],"snowfall":[6],"is":[7,33,39,56,126],"important":[8],"for":[9],"study":[10],"climate":[12],"change":[13],"water":[15,23],"resource":[16],"utilization.":[17],"Both":[18],"snow":[19,22,45,48,77,110],"depth":[20,46],"equivalent":[24],"(SWE)":[25],"are":[26,102],"the":[27,42,86,89,95,106,119,122],"measure":[28],"snowfall,":[30],"but":[31],"SWE":[32],"a":[34,57,75],"more":[35],"useful":[36],"measure,":[37],"which":[38],"defined":[40],"as":[41],"product":[43],"density.":[49],"Global":[50],"Navigation":[51],"Satellite":[52],"System":[53],"reflectometry":[54],"(GNSS-R)":[55],"new":[58,76],"remote":[59],"sensing":[60],"technology":[61],"that":[62,93,118],"can":[63],"enable":[64],"cost-effective":[65],"global-scale":[66],"continuous":[68],"snowfall.":[71],"This":[72],"paper":[73],"presents":[74],"density":[78,111,123],"estimation":[79,112,124],"method":[80],"based":[81,109],"on":[82],"GNSS-R":[83],"by":[84],"matching":[85],"envelope":[87],"SNR":[90,97],"amplitude":[91],"with":[92],"modeled":[96],"amplitude.":[98],"Field":[99],"experimental":[100,115],"data":[101],"used":[103],"to":[104],"evaluate":[105],"proposed":[107],"model":[108],"method.":[113],"The":[114],"results":[116],"demonstrate":[117],"RMS":[120],"error":[125],"0.02gcm-":[127],"<sup":[128],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[129],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">3</sup>":[130],".":[131]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}