{"id":"https://openalex.org/W4312848837","doi":"https://doi.org/10.1109/igarss46834.2022.9884321","title":"Bare Land Soil Moisture Estimation Using Alos-2 Palsar-2","display_name":"Bare Land Soil Moisture Estimation Using Alos-2 Palsar-2","publication_year":2022,"publication_date":"2022-07-17","ids":{"openalex":"https://openalex.org/W4312848837","doi":"https://doi.org/10.1109/igarss46834.2022.9884321"},"language":"en","primary_location":{"id":"doi:10.1109/igarss46834.2022.9884321","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss46834.2022.9884321","pdf_url":null,"source":{"id":"https://openalex.org/S4363604196","display_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","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/A5085687141","display_name":"Haemi Park","orcid":"https://orcid.org/0000-0002-4289-0713"},"institutions":[{"id":"https://openalex.org/I42999171","display_name":"Sophia University","ror":"https://ror.org/01nckkm68","country_code":"JP","type":"education","lineage":["https://openalex.org/I42999171"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Haemi Park","raw_affiliation_strings":["Global Environmental Studies, Sophia University,Tokyo,Japan","Global Environmental Studies, Sophia University, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Global Environmental Studies, Sophia University,Tokyo,Japan","institution_ids":["https://openalex.org/I42999171"]},{"raw_affiliation_string":"Global Environmental Studies, Sophia University, Tokyo, Japan","institution_ids":["https://openalex.org/I42999171"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003863167","display_name":"Takeo Tadono","orcid":"https://orcid.org/0000-0003-4313-5645"},"institutions":[{"id":"https://openalex.org/I2800865746","display_name":"Japan Aerospace Exploration Agency","ror":"https://ror.org/059yhyy33","country_code":"JP","type":"facility","lineage":["https://openalex.org/I2800865746"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takeo Tadono","raw_affiliation_strings":["Earth Observation Research Center, Japan Aerospace Exploration Agency,Ibaraki,Japan","Earth Observation Research Center, Japan Aerospace Exploration Agency, Ibaraki, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Earth Observation Research Center, Japan Aerospace Exploration Agency,Ibaraki,Japan","institution_ids":["https://openalex.org/I2800865746"]},{"raw_affiliation_string":"Earth Observation Research Center, Japan Aerospace Exploration Agency, Ibaraki, Japan","institution_ids":["https://openalex.org/I2800865746"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.29249865,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4449","last_page":"4452"},"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":0.9979000091552734,"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":0.983299970626831,"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":0.8168964385986328},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.6786938905715942},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6173112392425537},{"id":"https://openalex.org/keywords/soil-science","display_name":"Soil science","score":0.5698449015617371},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.48239079117774963},{"id":"https://openalex.org/keywords/spatial-variability","display_name":"Spatial variability","score":0.46144595742225647},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4499838352203369},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.4212999939918518},{"id":"https://openalex.org/keywords/soil-water","display_name":"Soil water","score":0.4150409996509552},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.20246103405952454},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12843084335327148},{"id":"https://openalex.org/keywords/geotechnical-engineering","display_name":"Geotechnical engineering","score":0.10438928008079529},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.08136099576950073}],"concepts":[{"id":"https://openalex.org/C24939127","wikidata":"https://www.wikidata.org/wiki/Q373499","display_name":"Water content","level":2,"score":0.8168964385986328},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.6786938905715942},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6173112392425537},{"id":"https://openalex.org/C159390177","wikidata":"https://www.wikidata.org/wiki/Q9161265","display_name":"Soil science","level":1,"score":0.5698449015617371},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.48239079117774963},{"id":"https://openalex.org/C94747663","wikidata":"https://www.wikidata.org/wiki/Q7574086","display_name":"Spatial variability","level":2,"score":0.46144595742225647},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4499838352203369},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.4212999939918518},{"id":"https://openalex.org/C159750122","wikidata":"https://www.wikidata.org/wiki/Q96621023","display_name":"Soil water","level":2,"score":0.4150409996509552},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.20246103405952454},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12843084335327148},{"id":"https://openalex.org/C187320778","wikidata":"https://www.wikidata.org/wiki/Q1349130","display_name":"Geotechnical engineering","level":1,"score":0.10438928008079529},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.08136099576950073},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss46834.2022.9884321","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss46834.2022.9884321","pdf_url":null,"source":{"id":"https://openalex.org/S4363604196","display_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1566114093","https://openalex.org/W1979723077","https://openalex.org/W1998742682","https://openalex.org/W2012989461","https://openalex.org/W2111626115","https://openalex.org/W2114569030","https://openalex.org/W2169517707"],"related_works":["https://openalex.org/W4295532600","https://openalex.org/W2063823869","https://openalex.org/W2047973478","https://openalex.org/W2067569035","https://openalex.org/W2090985514","https://openalex.org/W2113666009","https://openalex.org/W2145649715","https://openalex.org/W2047313939","https://openalex.org/W2008518276","https://openalex.org/W2152662390"],"abstract_inverted_index":{"Soil":[0],"water":[1,109,141],"content":[2,110,142],"in":[3,143],"agricultural":[4],"land":[5,72],"is":[6,106],"a":[7],"major":[8],"factor":[9],"for":[10,61],"forecasting":[11],"drought,":[12],"estimating":[13],"crop":[14],"yields,":[15],"and":[16,45,82,165],"grasping":[17],"methane":[18],"emissions.":[19],"The":[20,101],"needs":[21],"of":[22,42,50,71,97,103,139],"spatiotemporal":[23],"soil":[24,33,62,108,129,140],"moisture":[25,34,63,130],"data":[26],"are":[27,36],"increased":[28],"recently.":[29],"However,":[30],"spatially":[31],"seamless":[32],"estimations":[35],"challenging":[37],"due":[38],"to":[39,68],"the":[40,46,124,135,137,159],"lack":[41],"ground":[43],"truth":[44],"small":[47],"spatial":[48,87,164],"representativeness":[49],"point-based":[51],"in-situ":[52],"measurement.":[53],"In":[54],"contrast,":[55],"microwave":[56,89],"imagery":[57],"has":[58],"an":[59],"advantage":[60],"monitoring":[64],"with":[65,91,119,157],"high":[66,83],"sensitivity":[67],"dielectric":[69,113,125],"constant":[70,114,126],"surface.":[73],"Japan":[74],"Aerospace":[75],"Exploration":[76],"Agency":[77],"(JAXA)":[78],"provides":[79],"stable":[80],"accuracy":[81],"resolution":[84,88],"at":[85],"6.25m":[86],"images":[90],"L-band":[92],"observation":[93],"using":[94,112,131,151],"PALSAR-2":[95],"sensor":[96],"ALOS-2":[98],"since":[99],"2014.":[100],"objective":[102],"this":[104],"study":[105],"volumetric":[107],"estimation":[111],"derived":[115],"by":[116,150],"Dubois":[117],"algorithm":[118],"PALSAR-2.":[120,152],"Then":[121],"we":[122],"converted":[123],"result":[127],"into":[128],"Topp":[132],"model.":[133],"As":[134],"result,":[136],"average":[138],"Ibaraki":[144],"field":[145],"was":[146,155,161],"estimated":[147],"as":[148],"28%":[149],"When":[153],"it":[154],"compared":[156],"in-situ,":[158],"RMSE":[160],"5.2%.":[162],"Further":[163],"quantitative":[166],"comparisons":[167],"have":[168],"shown.":[169]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}