{"id":"https://openalex.org/W2984327704","doi":"https://doi.org/10.1109/igarss.2019.8898877","title":"Genetic Algorithm Based GNSS-R Snow Water Equivalent Estimation","display_name":"Genetic Algorithm Based GNSS-R Snow Water Equivalent Estimation","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2984327704","doi":"https://doi.org/10.1109/igarss.2019.8898877","mag":"2984327704"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2019.8898877","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2019.8898877","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":"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/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":"middle","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/A5037507266","display_name":"Shuyao Wang","orcid":null},"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":"Shuyao Wang","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/A5033900636","display_name":"Taoyong Jin","orcid":"https://orcid.org/0000-0002-0097-8880"},"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":"Taoyong Jin","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/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 Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]}]}],"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":"20","issue":null,"first_page":"8745","last_page":"8748"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10644","display_name":"Cryospheric studies and observations","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"}},"topics":[{"id":"https://openalex.org/T10644","display_name":"Cryospheric studies and observations","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"}},{"id":"https://openalex.org/T11312","display_name":"Soil Moisture and Remote Sensing","score":0.9955999851226807,"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":0.9702000021934509,"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/gnss-applications","display_name":"GNSS applications","score":0.8276983499526978},{"id":"https://openalex.org/keywords/snow","display_name":"Snow","score":0.7100772857666016},{"id":"https://openalex.org/keywords/fitness-function","display_name":"Fitness function","score":0.6313681602478027},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5879424214363098},{"id":"https://openalex.org/keywords/pseudorange","display_name":"Pseudorange","score":0.5442230701446533},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5420591831207275},{"id":"https://openalex.org/keywords/multipath-propagation","display_name":"Multipath propagation","score":0.5329253077507019},{"id":"https://openalex.org/keywords/global-positioning-system","display_name":"Global Positioning System","score":0.475860059261322},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46534642577171326},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4518173038959503},{"id":"https://openalex.org/keywords/antenna-height-considerations","display_name":"Antenna height considerations","score":0.42263031005859375},{"id":"https://openalex.org/keywords/antenna","display_name":"Antenna (radio)","score":0.39106863737106323},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.2115793228149414},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.17925745248794556},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.15853163599967957},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.08995738625526428}],"concepts":[{"id":"https://openalex.org/C14279187","wikidata":"https://www.wikidata.org/wiki/Q5514012","display_name":"GNSS applications","level":3,"score":0.8276983499526978},{"id":"https://openalex.org/C197046000","wikidata":"https://www.wikidata.org/wiki/Q7561","display_name":"Snow","level":2,"score":0.7100772857666016},{"id":"https://openalex.org/C176066374","wikidata":"https://www.wikidata.org/wiki/Q629118","display_name":"Fitness function","level":3,"score":0.6313681602478027},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5879424214363098},{"id":"https://openalex.org/C174201072","wikidata":"https://www.wikidata.org/wiki/Q1187347","display_name":"Pseudorange","level":4,"score":0.5442230701446533},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5420591831207275},{"id":"https://openalex.org/C161218011","wikidata":"https://www.wikidata.org/wiki/Q11827794","display_name":"Multipath propagation","level":3,"score":0.5329253077507019},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.475860059261322},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46534642577171326},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4518173038959503},{"id":"https://openalex.org/C155050386","wikidata":"https://www.wikidata.org/wiki/Q1068623","display_name":"Antenna height considerations","level":3,"score":0.42263031005859375},{"id":"https://openalex.org/C21822782","wikidata":"https://www.wikidata.org/wiki/Q131214","display_name":"Antenna (radio)","level":2,"score":0.39106863737106323},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.2115793228149414},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.17925745248794556},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.15853163599967957},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.08995738625526428},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2019.8898877","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2019.8898877","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":[{"display_name":"Clean water and sanitation","id":"https://metadata.un.org/sdg/6","score":0.5699999928474426}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1658490829","https://openalex.org/W2008372148","https://openalex.org/W2014082923","https://openalex.org/W2019298113","https://openalex.org/W2033854784","https://openalex.org/W2072211848","https://openalex.org/W2097571405","https://openalex.org/W2104968029","https://openalex.org/W2115283904","https://openalex.org/W2604838002","https://openalex.org/W2735764008","https://openalex.org/W2790590853","https://openalex.org/W2897808012","https://openalex.org/W2900621358","https://openalex.org/W3015300679","https://openalex.org/W3128198147","https://openalex.org/W6790614382"],"related_works":["https://openalex.org/W3216386610","https://openalex.org/W2796739365","https://openalex.org/W4239395258","https://openalex.org/W3204981892","https://openalex.org/W4380563814","https://openalex.org/W2019834240","https://openalex.org/W2904557485","https://openalex.org/W3198415914","https://openalex.org/W139532622","https://openalex.org/W3130617165"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3],"propose":[4],"a":[5,84],"new":[6],"snow":[7,30,53,79,107,110],"water":[8],"equivalent":[9],"(SWE)":[10],"estimation":[11,145],"method":[12,141],"using":[13,36],"GNSS-R":[14],"method.":[15,133],"The":[16,90,113,134],"forward":[17,56],"model":[18,57],"is":[19,58,81,93],"established":[20],"to":[21,60,95,103,129],"describe":[22],"the":[23,47,55,62,71,97,100,105,131,139],"relationship":[24],"between":[25],"antenna":[26,50,76],"height":[27,51,77],"(snow":[28],"depth),":[29],"density":[31,80,111],"and":[32,40,52,78,109],"multipath":[33],"error":[34],"by":[35],"combination":[37],"of":[38,42,49,73,75,99,119,147],"pseudorange":[39],"carrier-phase":[41],"GNSS":[43],"dual-frequency":[44],"signals.":[45],"As":[46],"function":[48,64,87,102],"density,":[54],"used":[59,94,128],"construct":[61],"fitness":[63,101],"based":[65],"on":[66],"least":[67],"squares":[68],"principle.":[69],"Then,":[70],"problem":[72],"inversion":[74],"transformed":[82],"into":[83],"conventional":[85],"multi-variable":[86],"optimization":[88],"problem.":[89],"genetic":[91],"algorithm":[92],"find":[96],"minimum":[98],"obtain":[104],"optimal":[106],"depth":[108],"estimates.":[112],"Galileo":[114],"satellite":[115],"navigation":[116],"system":[117],"data":[118],"an":[120],"experimental":[121],"campaign":[122],"conducted":[123],"in":[124],"Harbin,":[125],"China":[126],"was":[127],"test":[130],"proposed":[132,140],"preliminary":[135],"results":[136],"show":[137],"that":[138],"can":[142],"achieve":[143],"SWE":[144],"accuracy":[146],"about":[148],"4cm.":[149]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}