{"id":"https://openalex.org/W2027924295","doi":"https://doi.org/10.1109/igarss.2013.6723380","title":"A new method for estimation of bare surface soil moisture using time-series radar observations","display_name":"A new method for estimation of bare surface soil moisture using time-series radar observations","publication_year":2013,"publication_date":"2013-07-01","ids":{"openalex":"https://openalex.org/W2027924295","doi":"https://doi.org/10.1109/igarss.2013.6723380","mag":"2027924295"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2013.6723380","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2013.6723380","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 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/A5015333008","display_name":"Chenzhou Liu","orcid":"https://orcid.org/0000-0003-0848-5076"},"institutions":[{"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":true,"raw_author_name":"Chenzhou Liu","raw_affiliation_strings":["Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth","Inst. of Remote Sensing & Digital Earth, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth","institution_ids":["https://openalex.org/I4210128053"]},{"raw_affiliation_string":"Inst. of Remote Sensing & Digital Earth, Beijing, China","institution_ids":["https://openalex.org/I4210128053"]}]},{"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/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","Inst. of Remote Sensing & Digital Earth, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth","institution_ids":["https://openalex.org/I4210128053"]},{"raw_affiliation_string":"Inst. of Remote Sensing & Digital Earth, Beijing, China","institution_ids":["https://openalex.org/I4210128053"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033634734","display_name":"Tianjie Zhao","orcid":"https://orcid.org/0000-0002-0914-599X"},"institutions":[{"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":"Tianjie Zhao","raw_affiliation_strings":["Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth","Inst. of Remote Sensing & Digital Earth, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth","institution_ids":["https://openalex.org/I4210128053"]},{"raw_affiliation_string":"Inst. of Remote Sensing & Digital Earth, Beijing, China","institution_ids":["https://openalex.org/I4210128053"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081062557","display_name":"Shuai Gao","orcid":"https://orcid.org/0000-0003-4069-4361"},"institutions":[{"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":"Shuai Gao","raw_affiliation_strings":["Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth","Inst. of Remote Sensing & Digital Earth, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth","institution_ids":["https://openalex.org/I4210128053"]},{"raw_affiliation_string":"Inst. of Remote Sensing & Digital Earth, Beijing, China","institution_ids":["https://openalex.org/I4210128053"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5015333008"],"corresponding_institution_ids":["https://openalex.org/I4210128053"],"apc_list":null,"apc_paid":null,"fwci":0.2594,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.61078764,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"50","issue":null,"first_page":"2700","last_page":"2703"},"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":0.9991999864578247,"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"}},{"id":"https://openalex.org/T10644","display_name":"Cryospheric studies and observations","score":0.9876000285148621,"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/surface-roughness","display_name":"Surface roughness","score":0.641897976398468},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5912570357322693},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5860204100608826},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5459387302398682},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.5454578399658203},{"id":"https://openalex.org/keywords/water-content","display_name":"Water content","score":0.5278016328811646},{"id":"https://openalex.org/keywords/correlation-coefficient","display_name":"Correlation coefficient","score":0.4348142147064209},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3873383700847626},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36820778250694275},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.255643367767334},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.18382331728935242},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.14331898093223572}],"concepts":[{"id":"https://openalex.org/C107365816","wikidata":"https://www.wikidata.org/wiki/Q114817","display_name":"Surface roughness","level":2,"score":0.641897976398468},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5912570357322693},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5860204100608826},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5459387302398682},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.5454578399658203},{"id":"https://openalex.org/C24939127","wikidata":"https://www.wikidata.org/wiki/Q373499","display_name":"Water content","level":2,"score":0.5278016328811646},{"id":"https://openalex.org/C2780092901","wikidata":"https://www.wikidata.org/wiki/Q3433612","display_name":"Correlation coefficient","level":2,"score":0.4348142147064209},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3873383700847626},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36820778250694275},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.255643367767334},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.18382331728935242},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.14331898093223572},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2013.6723380","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2013.6723380","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7200000286102295,"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2039348932","https://openalex.org/W2054497277","https://openalex.org/W2082317410","https://openalex.org/W2109898366","https://openalex.org/W2114569030","https://openalex.org/W2133013453","https://openalex.org/W2134575632","https://openalex.org/W2135558118","https://openalex.org/W2139699111","https://openalex.org/W2147820447","https://openalex.org/W2150381434","https://openalex.org/W2154759850","https://openalex.org/W4319779778"],"related_works":["https://openalex.org/W2740583973","https://openalex.org/W2386767533","https://openalex.org/W3153926312","https://openalex.org/W4382982879","https://openalex.org/W2133875105","https://openalex.org/W2135254854","https://openalex.org/W2950005168","https://openalex.org/W2037217994","https://openalex.org/W3157671907","https://openalex.org/W1992287538"],"abstract_inverted_index":{"This":[0],"paper":[1],"describes":[2],"a":[3,41,90,92,110],"new":[4,32,175],"algorithm":[5,33,106,176],"for":[6,138],"the":[7,26,35,46,60,69,82,98,174,181],"retrieval":[8,49],"of":[9,62,68,100,128,162,168],"bare":[10],"surface":[11,28],"soil":[12,27,139,146],"moisture":[13,147],"using":[14,55,75,177,185],"dual-polarization":[15],"time-series":[16,178],"radar":[17,63,101],"data.":[18],"The":[19,31,66,105,121,141],"roughness":[20,29,36,47,70,84],"index":[21,48,71,85],"is":[22,38,72,103,107,152,171],"used":[23],"to":[24,58],"describe":[25],"condition.":[30],"assumes":[34],"condition":[37],"constant":[39],"over":[40],"shot":[42],"time,":[43],"so":[44],"that":[45,173],"accuracy":[50],"can":[51],"be":[52],"improved":[53],"by":[54,74],"temporal":[56,186],"data":[57,151,179],"minimizing":[59],"effect":[61],"speckle":[64],"noise.":[65],"uncertainty":[67,88],"predicted":[73],"an":[76,124],"error":[77,126],"propagation":[78],"theory.":[79],"By":[80],"applying":[81],"retrieved":[83,145],"and":[86,117,148,165,188],"corresponding":[87],"as":[89],"constraint,":[91],"Bayesian":[93,182],"approach,":[94],"which":[95],"takes":[96],"account":[97],"uncertainties":[99],"observation,":[102],"implemented.":[104],"validated":[108],"with":[109,160],"field":[111],"ground":[112],"dataset":[113],"at":[114],"1.25":[115],"Ghz":[116],"40\u00b0":[118],"incidence":[119],"angle.":[120],"result":[122],"shows":[123],"rms":[125,155],"(RMSE)":[127],"0.06":[129],"cm":[130,164],"<sup":[131,135],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[132,136],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">3</sup>":[133,137],"/cm":[134],"moisture.":[140],"correlation":[142,166],"coefficient":[143,167],"between":[144],"in":[149],"situ":[150],"0.81.":[153],"Surface":[154],"height":[156],"estimates":[157],"are":[158],"found":[159],"RMSE":[161],"0.41":[163],"0.99.":[169],"It":[170],"shown":[172],"outperforms":[180],"approach":[183],"without":[184],"information":[187],"snapshot":[189],"method.":[190]},"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}