{"id":"https://openalex.org/W3196552943","doi":"https://doi.org/10.3390/rs13152980","title":"Classification Efficacy Using K-Fold Cross-Validation and Bootstrapping Resampling Techniques on the Example of Mapping Complex Gully Systems","display_name":"Classification Efficacy Using K-Fold Cross-Validation and Bootstrapping Resampling Techniques on the Example of Mapping Complex Gully Systems","publication_year":2021,"publication_date":"2021-07-28","ids":{"openalex":"https://openalex.org/W3196552943","doi":"https://doi.org/10.3390/rs13152980","mag":"3196552943"},"language":"en","primary_location":{"id":"doi:10.3390/rs13152980","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13152980","pdf_url":"https://www.mdpi.com/2072-4292/13/15/2980/pdf?version=1627609233","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/13/15/2980/pdf?version=1627609233","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5025732199","display_name":"Kwanele Phinzi","orcid":"https://orcid.org/0000-0003-1865-7011"},"institutions":[{"id":"https://openalex.org/I132735039","display_name":"University of Debrecen","ror":"https://ror.org/02xf66n48","country_code":"HU","type":"education","lineage":["https://openalex.org/I132735039"]}],"countries":["HU"],"is_corresponding":true,"raw_author_name":"Kwanele Phinzi","raw_affiliation_strings":["Department of Physical Geography and Geoinformatics, Faculty of Science and Technology, Doctoral School of Earth Sciences, University of Debrecen, Egyetem t\u00e9r 1, 4032 Debrecen, Hungary"],"affiliations":[{"raw_affiliation_string":"Department of Physical Geography and Geoinformatics, Faculty of Science and Technology, Doctoral School of Earth Sciences, University of Debrecen, Egyetem t\u00e9r 1, 4032 Debrecen, Hungary","institution_ids":["https://openalex.org/I132735039"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030623590","display_name":"D\u00e1vid Abriha","orcid":"https://orcid.org/0000-0003-1187-5892"},"institutions":[{"id":"https://openalex.org/I132735039","display_name":"University of Debrecen","ror":"https://ror.org/02xf66n48","country_code":"HU","type":"education","lineage":["https://openalex.org/I132735039"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"D\u00e1vid Abriha","raw_affiliation_strings":["Department of Physical Geography and Geoinformatics, Faculty of Science and Technology, Doctoral School of Earth Sciences, University of Debrecen, Egyetem t\u00e9r 1, 4032 Debrecen, Hungary"],"affiliations":[{"raw_affiliation_string":"Department of Physical Geography and Geoinformatics, Faculty of Science and Technology, Doctoral School of Earth Sciences, University of Debrecen, Egyetem t\u00e9r 1, 4032 Debrecen, Hungary","institution_ids":["https://openalex.org/I132735039"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061530397","display_name":"Szil\u00e1rd Szab\u00f3","orcid":"https://orcid.org/0000-0002-2670-7384"},"institutions":[{"id":"https://openalex.org/I132735039","display_name":"University of Debrecen","ror":"https://ror.org/02xf66n48","country_code":"HU","type":"education","lineage":["https://openalex.org/I132735039"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Szil\u00e1rd Szab\u00f3","raw_affiliation_strings":["Department of Physical Geography and Geoinformatics, Faculty of Science and Technology, University of Debrecen, Egyetem t\u00e9r 1, 4032 Debrecen, Hungary"],"affiliations":[{"raw_affiliation_string":"Department of Physical Geography and Geoinformatics, Faculty of Science and Technology, University of Debrecen, Egyetem t\u00e9r 1, 4032 Debrecen, Hungary","institution_ids":["https://openalex.org/I132735039"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5025732199"],"corresponding_institution_ids":["https://openalex.org/I132735039"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":1947,"currency":"EUR","value_usd":2099},"fwci":4.0852,"has_fulltext":true,"cited_by_count":49,"citation_normalized_percentile":{"value":0.93825867,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"13","issue":"15","first_page":"2980","last_page":"2980"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10889","display_name":"Soil erosion and sediment transport","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1111","display_name":"Soil Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10889","display_name":"Soil erosion and sediment transport","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1111","display_name":"Soil Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10930","display_name":"Flood Risk Assessment and Management","score":0.9940000176429749,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"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/T12543","display_name":"Groundwater and Watershed Analysis","score":0.9842000007629395,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6419634819030762},{"id":"https://openalex.org/keywords/resampling","display_name":"Resampling","score":0.6381889581680298},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6288157105445862},{"id":"https://openalex.org/keywords/normalized-difference-vegetation-index","display_name":"Normalized Difference Vegetation Index","score":0.5125033855438232},{"id":"https://openalex.org/keywords/land-cover","display_name":"Land cover","score":0.4919833838939667},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.48388752341270447},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.47661295533180237},{"id":"https://openalex.org/keywords/bootstrapping","display_name":"Bootstrapping (finance)","score":0.45080772042274475},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.34154367446899414},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.31460902094841003},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26537203788757324},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19257065653800964},{"id":"https://openalex.org/keywords/land-use","display_name":"Land use","score":0.16663005948066711},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.14259740710258484},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.12561199069023132},{"id":"https://openalex.org/keywords/climate-change","display_name":"Climate change","score":0.09535551071166992},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.06730404496192932}],"concepts":[{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6419634819030762},{"id":"https://openalex.org/C150921843","wikidata":"https://www.wikidata.org/wiki/Q1170431","display_name":"Resampling","level":2,"score":0.6381889581680298},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6288157105445862},{"id":"https://openalex.org/C1549246","wikidata":"https://www.wikidata.org/wiki/Q718775","display_name":"Normalized Difference Vegetation Index","level":3,"score":0.5125033855438232},{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.4919833838939667},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.48388752341270447},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.47661295533180237},{"id":"https://openalex.org/C207609745","wikidata":"https://www.wikidata.org/wiki/Q4944086","display_name":"Bootstrapping (finance)","level":2,"score":0.45080772042274475},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.34154367446899414},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.31460902094841003},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26537203788757324},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19257065653800964},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.16663005948066711},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.14259740710258484},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.12561199069023132},{"id":"https://openalex.org/C132651083","wikidata":"https://www.wikidata.org/wiki/Q7942","display_name":"Climate change","level":2,"score":0.09535551071166992},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.06730404496192932},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/rs13152980","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13152980","pdf_url":"https://www.mdpi.com/2072-4292/13/15/2980/pdf?version=1627609233","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:dea.lib.unideb.hu:2437/321048","is_oa":true,"landing_page_url":"http://hdl.handle.net/2437/321048","pdf_url":"https://www.mdpi.com/2072-4292/13/15/2980","source":{"id":"https://openalex.org/S4306402089","display_name":"University of Debrecen Electronic Archive (University of Debrecen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I132735039","host_organization_name":"University of Debrecen","host_organization_lineage":["https://openalex.org/I132735039"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"idegen nyelv\u0171 foly\u00f3iratk\u00f6zlem\u00e9ny k\u00fclf\u00f6ldi lapban"},{"id":"pmh:oai:dea.lib.unideb.hu:2437/321050","is_oa":false,"landing_page_url":"http://hdl.handle.net/2437/321050","pdf_url":null,"source":{"id":"https://openalex.org/S4306402089","display_name":"University of Debrecen Electronic Archive (University of Debrecen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I132735039","host_organization_name":"University of Debrecen","host_organization_lineage":["https://openalex.org/I132735039"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""},{"id":"pmh:oai:doaj.org/article:fbcefbe3854f44ddb9ad52a19ec23de8","is_oa":true,"landing_page_url":"https://doaj.org/article/fbcefbe3854f44ddb9ad52a19ec23de8","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 13, Iss 15, p 2980 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/13/15/2980/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs13152980","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing; Volume 13; Issue 15; Pages: 2980","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs13152980","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13152980","pdf_url":"https://www.mdpi.com/2072-4292/13/15/2980/pdf?version=1627609233","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5400000214576721,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"},{"score":0.44999998807907104,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G4471363405","display_name":null,"funder_award_id":"TKP2020-NKA-04","funder_id":"https://openalex.org/F4320328991","funder_display_name":"Innov\u00e1ci\u00f3s \u00e9s Technol\u00f3giai Miniszt\u00e9rium"},{"id":"https://openalex.org/G5076854363","display_name":null,"funder_award_id":"Thematic Excellence Programme (TKP2020-NKA-04)","funder_id":"https://openalex.org/F4320328991","funder_display_name":"Innov\u00e1ci\u00f3s \u00e9s Technol\u00f3giai Miniszt\u00e9rium"},{"id":"https://openalex.org/G6420385980","display_name":null,"funder_award_id":"TKP2020","funder_id":"https://openalex.org/F4320328991","funder_display_name":"Innov\u00e1ci\u00f3s \u00e9s Technol\u00f3giai Miniszt\u00e9rium"}],"funders":[{"id":"https://openalex.org/F4320328228","display_name":"Tempus K\u00f6zalap\u00edtv\u00e1ny","ror":"https://ror.org/053mvwx19"},{"id":"https://openalex.org/F4320328991","display_name":"Innov\u00e1ci\u00f3s \u00e9s Technol\u00f3giai Miniszt\u00e9rium","ror":"https://ror.org/02ey3ab96"},{"id":"https://openalex.org/F4320330061","display_name":"Department of Higher Education and Training","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3196552943.pdf","grobid_xml":"https://content.openalex.org/works/W3196552943.grobid-xml"},"referenced_works_count":68,"referenced_works":["https://openalex.org/W429766147","https://openalex.org/W1540240814","https://openalex.org/W1680392829","https://openalex.org/W1797580880","https://openalex.org/W1821787620","https://openalex.org/W1971219570","https://openalex.org/W1976044762","https://openalex.org/W1978110877","https://openalex.org/W1980632343","https://openalex.org/W2006179495","https://openalex.org/W2011500029","https://openalex.org/W2013341751","https://openalex.org/W2017368595","https://openalex.org/W2036295865","https://openalex.org/W2042066319","https://openalex.org/W2042951918","https://openalex.org/W2046113982","https://openalex.org/W2072866943","https://openalex.org/W2073792037","https://openalex.org/W2079761222","https://openalex.org/W2082081125","https://openalex.org/W2101234009","https://openalex.org/W2104896032","https://openalex.org/W2106869713","https://openalex.org/W2110985329","https://openalex.org/W2122447387","https://openalex.org/W2138973222","https://openalex.org/W2147105669","https://openalex.org/W2149064628","https://openalex.org/W2168809519","https://openalex.org/W2181836542","https://openalex.org/W2215874512","https://openalex.org/W2353744599","https://openalex.org/W2412588858","https://openalex.org/W2529567593","https://openalex.org/W2612222728","https://openalex.org/W2720510343","https://openalex.org/W2741019462","https://openalex.org/W2763734094","https://openalex.org/W2772366318","https://openalex.org/W2776146695","https://openalex.org/W2790123154","https://openalex.org/W2889216614","https://openalex.org/W2905741328","https://openalex.org/W2911964244","https://openalex.org/W2923136550","https://openalex.org/W2943484762","https://openalex.org/W2968560892","https://openalex.org/W2971797472","https://openalex.org/W2975256032","https://openalex.org/W2978290411","https://openalex.org/W2986126070","https://openalex.org/W2996331621","https://openalex.org/W2999309192","https://openalex.org/W3002067413","https://openalex.org/W3005383134","https://openalex.org/W3008679799","https://openalex.org/W3016575147","https://openalex.org/W3032116777","https://openalex.org/W3080660105","https://openalex.org/W3087800794","https://openalex.org/W3088162569","https://openalex.org/W3106702696","https://openalex.org/W3114656614","https://openalex.org/W3132804480","https://openalex.org/W6638537715","https://openalex.org/W6675354045","https://openalex.org/W6749060667"],"related_works":["https://openalex.org/W4318664220","https://openalex.org/W2771047279","https://openalex.org/W1534274833","https://openalex.org/W4388409104","https://openalex.org/W2375771286","https://openalex.org/W69222743","https://openalex.org/W1913467779","https://openalex.org/W4229900761","https://openalex.org/W2149345204","https://openalex.org/W2021379394"],"abstract_inverted_index":{"The":[0,42,239],"availability":[1],"of":[2,25,37,45,53,108,141,301,308,325],"aerial":[3],"and":[4,12,58,72,90,100,149,225,252],"satellite":[5,28,333],"imageries":[6],"has":[7],"greatly":[8],"reduced":[9],"the":[10,35,51,88,94,106,109,116,142,147,162,173,185,210,214,231,236,249,258,263,268,278,291,299,306,317,323,337],"costs":[11],"time":[13],"associated":[14],"with":[15,169,201,218],"gully":[16,158,207,241,275,310],"mapping,":[17],"especially":[18,329],"in":[19,63,112,146,157,172,206,209,235,248,257,274],"remote":[20],"locations.":[21],"Regardless,":[22],"accurate":[23],"identification":[24,276],"gullies":[26,65,114,123],"from":[27,115,132],"images":[29,334],"remains":[30],"an":[31],"open":[32],"issue":[33],"despite":[34],"amount":[36],"literature":[38],"addressing":[39],"this":[40,46,80,294,314],"problem.":[41],"main":[43],"objective":[44],"work":[47],"was":[48,154,167,179,203,243,271],"to":[49,78,181],"investigate":[50],"performance":[52,166,178],"support":[54],"vector":[55],"machines":[56],"(SVM)":[57],"random":[59],"forest":[60],"(RF)":[61],"algorithms":[62],"extracting":[64],"based":[66],"on":[67,161,262,298,305],"two":[68],"resampling":[69,303,327],"methods:":[70],"bootstrapping":[71,219],"k-fold":[73],"cross-validation":[74],"(CV).":[75],"In":[76],"order":[77],"achieve":[79],"objective,":[81],"we":[82,103],"used":[83],"PlanetScope":[84,110,143,338],"data,":[85],"acquired":[86],"during":[87],"wet":[89,148,211,259,269],"dry":[91,150,174,237,250,279],"seasons.":[92,151],"Using":[93],"Normalized":[95],"Difference":[96],"Vegetation":[97],"Index":[98],"(NDVI)":[99],"multispectral":[101],"bands,":[102],"also":[104],"explored":[105],"potential":[107],"image":[111],"discriminating":[113],"surrounding":[117],"land":[118,135],"cover.":[119],"Results":[120],"revealed":[121],"that":[122,198],"had":[124,220,282],"significantly":[125],"different":[126,332],"(p":[127],"<":[128],"0.001)":[129],"spectral":[130],"profiles":[131],"any":[133],"other":[134,335],"cover":[136],"class":[137,188],"regarding":[138],"all":[139],"bands":[140],"image,":[144],"both":[145],"However,":[152],"NDVI":[153],"not":[155],"efficient":[156,233],"discrimination.":[159],"Based":[160,261],"overall":[163],"accuracies,":[164],"RF\u2019s":[165],"better":[168,183],"CV,":[170],"particularly":[171],"season,":[175,280],"where":[176],"its":[177],"up":[180],"4%":[182],"than":[184,277,336],"SVM\u2019s.":[186],"Nevertheless,":[187],"level":[189],"metrics":[190],"(omission":[191],"error:":[192,195],"11.8%;":[193],"commission":[194,226],"19%)":[196],"showed":[197],"SVM":[199],"combined":[200,217],"CV":[202],"more":[204,272],"successful":[205],"extraction":[208],"season.":[212,238,260],"On":[213],"contrary,":[215],"RF":[216],"relatively":[221],"low":[222],"omission":[223],"(16.4%)":[224],"errors":[227],"(10.4%),":[228],"making":[229],"it":[230],"most":[232],"algorithm":[234],"estimated":[240],"area":[242],"88":[244],"\u00b1":[245,254],"14.4":[246],"ha":[247,256],"season":[251,270],"57.2":[253],"18.8":[255],"standard":[264,286],"error":[265,287],"(8.2":[266],"ha),":[267],"appropriate":[273],"which":[281],"a":[283],"slightly":[284],"higher":[285],"(8.6":[288],"ha).":[289],"For":[290],"first":[292],"time,":[293],"study":[295,315],"sheds":[296],"light":[297],"influence":[300],"these":[302],"techniques":[304],"accuracy":[307,324],"satellite-based":[309],"mapping.":[311],"More":[312],"importantly,":[313],"provides":[316],"basis":[318],"for":[319],"further":[320],"investigations":[321],"into":[322],"such":[326],"techniques,":[328],"when":[330],"using":[331],"data.":[339]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":1}],"updated_date":"2026-03-31T07:56:22.981413","created_date":"2025-10-10T00:00:00"}