{"id":"https://openalex.org/W2130098273","doi":"https://doi.org/10.1109/lgrs.2011.2156759","title":"Estimating Soil Moisture With the Support Vector Regression Technique","display_name":"Estimating Soil Moisture With the Support Vector Regression Technique","publication_year":2011,"publication_date":"2011-06-21","ids":{"openalex":"https://openalex.org/W2130098273","doi":"https://doi.org/10.1109/lgrs.2011.2156759","mag":"2130098273"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2011.2156759","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2011.2156759","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","raw_type":"journal-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/A5044557015","display_name":"Luca Pasolli","orcid":null},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]},{"id":"https://openalex.org/I1319360392","display_name":"Eurac Research","ror":"https://ror.org/01xt1w755","country_code":"IT","type":"nonprofit","lineage":["https://openalex.org/I1319360392"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Luca Pasolli","raw_affiliation_strings":["Department of Information Engineering and Computer Science, University of Trento, Trento, Italy","Institute for Applied Remote Sensing, Eurac Research, Bolzano, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering and Computer Science, University of Trento, Trento, Italy","institution_ids":["https://openalex.org/I193223587"]},{"raw_affiliation_string":"Institute for Applied Remote Sensing, Eurac Research, Bolzano, Italy","institution_ids":["https://openalex.org/I1319360392"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014002590","display_name":"Claudia Notarnicola","orcid":"https://orcid.org/0000-0003-1968-0125"},"institutions":[{"id":"https://openalex.org/I1319360392","display_name":"Eurac Research","ror":"https://ror.org/01xt1w755","country_code":"IT","type":"nonprofit","lineage":["https://openalex.org/I1319360392"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Claudia Notarnicola","raw_affiliation_strings":["Institute for Applied Remote Sensing, Eurac Research, Bolzano, Italy"],"affiliations":[{"raw_affiliation_string":"Institute for Applied Remote Sensing, Eurac Research, Bolzano, Italy","institution_ids":["https://openalex.org/I1319360392"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006095323","display_name":"Lorenzo Bruzzone","orcid":"https://orcid.org/0000-0002-6036-459X"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Lorenzo Bruzzone","raw_affiliation_strings":["Department of Information Engineering and Computer Science, University of Trento, Trento, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering and Computer Science, University of Trento, Trento, Italy","institution_ids":["https://openalex.org/I193223587"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5044557015"],"corresponding_institution_ids":["https://openalex.org/I1319360392","https://openalex.org/I193223587"],"apc_list":null,"apc_paid":null,"fwci":3.2606,"has_fulltext":false,"cited_by_count":119,"citation_normalized_percentile":{"value":0.91189448,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"8","issue":"6","first_page":"1080","last_page":"1084"},"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":0.9929999709129333,"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/T11607","display_name":"Microwave and Dielectric Measurement Techniques","score":0.9617000222206116,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/support-vector-machine","display_name":"Support vector machine","score":0.7729809880256653},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7359517812728882},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6700445413589478},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.6003036499023438},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5923205018043518},{"id":"https://openalex.org/keywords/water-content","display_name":"Water content","score":0.5450929999351501},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4211030900478363},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40876275300979614},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39878296852111816},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.39578011631965637},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3861802816390991},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12490957975387573}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7729809880256653},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7359517812728882},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6700445413589478},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.6003036499023438},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5923205018043518},{"id":"https://openalex.org/C24939127","wikidata":"https://www.wikidata.org/wiki/Q373499","display_name":"Water content","level":2,"score":0.5450929999351501},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4211030900478363},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40876275300979614},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39878296852111816},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.39578011631965637},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3861802816390991},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12490957975387573},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/lgrs.2011.2156759","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2011.2156759","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","raw_type":"journal-article"},{"id":"pmh:oai:iris.unitn.it:11572/86846","is_oa":false,"landing_page_url":"http://hdl.handle.net/11572/86846","pdf_url":null,"source":{"id":"https://openalex.org/S4306401913","display_name":"Institutional Research Information System (Universit\u00e0 degli Studi di Trento)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I193223587","host_organization_name":"University of Trento","host_organization_lineage":["https://openalex.org/I193223587"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","score":0.6700000166893005,"display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W623241495","https://openalex.org/W1534053224","https://openalex.org/W1604176317","https://openalex.org/W2045331152","https://openalex.org/W2076196252","https://openalex.org/W2092055157","https://openalex.org/W2095896231","https://openalex.org/W2115408897","https://openalex.org/W2126087248","https://openalex.org/W2129714594","https://openalex.org/W2151949673","https://openalex.org/W2153635508","https://openalex.org/W2156909104","https://openalex.org/W2169517707"],"related_works":["https://openalex.org/W2090763504","https://openalex.org/W148178222","https://openalex.org/W2104657898","https://openalex.org/W1948992892","https://openalex.org/W1886884218","https://openalex.org/W1910826599","https://openalex.org/W3158157485","https://openalex.org/W2243550366","https://openalex.org/W3000407446","https://openalex.org/W2103550798"],"abstract_inverted_index":{"This":[0,146],"letter":[1],"presents":[2],"an":[3,57],"experimental":[4],"analysis":[5,147],"of":[6,9,36,86,108,114,123],"the":[7,10,47,87,109,143],"application":[8,75],"\u03b5-insensitive":[11],"support":[12],"vector":[13],"regression":[14],"(SVR)":[15],"technique":[16],"to":[17,44,59],"soil":[18,67,153],"moisture":[19,68,154],"content":[20,69],"estimation":[21,115,155],"from":[22],"remotely":[23],"sensed":[24],"data":[25],"at":[26],"field/basin":[27],"scale.":[28],"SVR":[29,110],"has":[30],"attractive":[31],"properties,":[32],"such":[33],"as":[34,56,139],"ease":[35,122],"use,":[37],"good":[38],"intrinsic":[39],"generalization":[40,117],"capability,":[41,118],"and":[42,82,103,121],"robustness":[43],"noise":[45],"in":[46,66,73,142],"training":[48],"data,":[49],"which":[50,136],"make":[51],"it":[52],"a":[53,131,140],"valid":[54],"candidate":[55],"alternative":[58],"more":[60],"traditional":[61],"neural-network-based":[62],"techniques":[63],"usually":[64],"adopted":[65],"estimation.":[70],"Its":[71],"effectiveness":[72],"this":[74],"is":[76,125,137],"assessed":[77],"by":[78],"using":[79,98,130],"field":[80],"measurements":[81,96],"considering":[83],"various":[84,99],"combinations":[85],"input":[88],"features":[89],"(i.e.,":[90],"different":[91],"active":[92],"and/or":[93],"passive":[94],"microwave":[95],"acquired":[97],"sensor":[100],"frequencies,":[101],"polarizations,":[102],"acquisition":[104],"geometries).":[105],"The":[106],"performance":[107],"method":[111],"(in":[112],"terms":[113],"accuracy,":[116],"computational":[119],"complexity,":[120],"use)":[124],"compared":[126],"with":[127],"that":[128],"achieved":[129],"multilayer":[132],"perceptron":[133],"neural":[134],"network,":[135],"considered":[138],"benchmark":[141],"addressed":[144],"application.":[145],"provides":[148],"useful":[149],"indications":[150],"for":[151,157],"building":[152],"processors":[156],"upcoming":[158],"satellites":[159],"or":[160],"near-real-time":[161],"applications.":[162]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":15},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":11},{"year":2019,"cited_by_count":15},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
