{"id":"https://openalex.org/W4313570505","doi":"https://doi.org/10.3390/rs15020329","title":"Automated Recognition of Tree Species Composition of Forest Communities Using Sentinel-2 Satellite Data","display_name":"Automated Recognition of Tree Species Composition of Forest Communities Using Sentinel-2 Satellite Data","publication_year":2023,"publication_date":"2023-01-05","ids":{"openalex":"https://openalex.org/W4313570505","doi":"https://doi.org/10.3390/rs15020329"},"language":"en","primary_location":{"id":"doi:10.3390/rs15020329","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15020329","pdf_url":"https://www.mdpi.com/2072-4292/15/2/329/pdf?version=1672916600","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/2072-4292/15/2/329/pdf?version=1672916600","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5089620398","display_name":"Alika Polyakova","orcid":"https://orcid.org/0009-0000-5249-8232"},"institutions":[{"id":"https://openalex.org/I21203515","display_name":"Kazan Federal University","ror":"https://ror.org/05256ym39","country_code":"RU","type":"education","lineage":["https://openalex.org/I21203515"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Alika Polyakova","raw_affiliation_strings":["Institute of Environmental Sciences, Kazan Federal University, 5 Tovarisheskaya Street, 420097 Kazan, Russia"],"affiliations":[{"raw_affiliation_string":"Institute of Environmental Sciences, Kazan Federal University, 5 Tovarisheskaya Street, 420097 Kazan, Russia","institution_ids":["https://openalex.org/I21203515"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079327689","display_name":"Svetlana Mukharamova","orcid":"https://orcid.org/0000-0003-4453-3848"},"institutions":[{"id":"https://openalex.org/I21203515","display_name":"Kazan Federal University","ror":"https://ror.org/05256ym39","country_code":"RU","type":"education","lineage":["https://openalex.org/I21203515"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Svetlana Mukharamova","raw_affiliation_strings":["Institute of Environmental Sciences, Kazan Federal University, 5 Tovarisheskaya Street, 420097 Kazan, Russia"],"affiliations":[{"raw_affiliation_string":"Institute of Environmental Sciences, Kazan Federal University, 5 Tovarisheskaya Street, 420097 Kazan, Russia","institution_ids":["https://openalex.org/I21203515"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076222511","display_name":"Oleg Yermolaev","orcid":"https://orcid.org/0000-0001-6713-9996"},"institutions":[{"id":"https://openalex.org/I21203515","display_name":"Kazan Federal University","ror":"https://ror.org/05256ym39","country_code":"RU","type":"education","lineage":["https://openalex.org/I21203515"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"Oleg Yermolaev","raw_affiliation_strings":["Institute of Environmental Sciences, Kazan Federal University, 5 Tovarisheskaya Street, 420097 Kazan, Russia"],"affiliations":[{"raw_affiliation_string":"Institute of Environmental Sciences, Kazan Federal University, 5 Tovarisheskaya Street, 420097 Kazan, Russia","institution_ids":["https://openalex.org/I21203515"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091136722","display_name":"Galiya Shaykhutdinova","orcid":null},"institutions":[{"id":"https://openalex.org/I21203515","display_name":"Kazan Federal University","ror":"https://ror.org/05256ym39","country_code":"RU","type":"education","lineage":["https://openalex.org/I21203515"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Galiya Shaykhutdinova","raw_affiliation_strings":["Institute of Environmental Sciences, Kazan Federal University, 5 Tovarisheskaya Street, 420097 Kazan, Russia"],"affiliations":[{"raw_affiliation_string":"Institute of Environmental Sciences, Kazan Federal University, 5 Tovarisheskaya Street, 420097 Kazan, Russia","institution_ids":["https://openalex.org/I21203515"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5076222511"],"corresponding_institution_ids":["https://openalex.org/I21203515"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":4.1294,"has_fulltext":true,"cited_by_count":17,"citation_normalized_percentile":{"value":0.93548195,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"15","issue":"2","first_page":"329","last_page":"329"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9984999895095825,"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/T13102","display_name":"Soil and Environmental Studies","score":0.982699990272522,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.7381377816200256},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5135886669158936},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4889182150363922},{"id":"https://openalex.org/keywords/deciduous","display_name":"Deciduous","score":0.4561237394809723},{"id":"https://openalex.org/keywords/vegetation","display_name":"Vegetation (pathology)","score":0.4516066014766693},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.44164198637008667},{"id":"https://openalex.org/keywords/forestry","display_name":"Forestry","score":0.42560291290283203},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.4078660309314728},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.3519544303417206},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2385534942150116},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.15461120009422302}],"concepts":[{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.7381377816200256},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5135886669158936},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4889182150363922},{"id":"https://openalex.org/C33283694","wikidata":"https://www.wikidata.org/wiki/Q1131316","display_name":"Deciduous","level":2,"score":0.4561237394809723},{"id":"https://openalex.org/C2776133958","wikidata":"https://www.wikidata.org/wiki/Q7918366","display_name":"Vegetation (pathology)","level":2,"score":0.4516066014766693},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44164198637008667},{"id":"https://openalex.org/C97137747","wikidata":"https://www.wikidata.org/wiki/Q38112","display_name":"Forestry","level":1,"score":0.42560291290283203},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.4078660309314728},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.3519544303417206},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2385534942150116},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.15461120009422302},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs15020329","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15020329","pdf_url":"https://www.mdpi.com/2072-4292/15/2/329/pdf?version=1672916600","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:doaj.org/article:a99d7721b32e4832b23d98e87335bc12","is_oa":true,"landing_page_url":"https://doaj.org/article/a99d7721b32e4832b23d98e87335bc12","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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 15, Iss 2, p 329 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/15/2/329/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs15020329","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 15; Issue 2; Pages: 329","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs15020329","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15020329","pdf_url":"https://www.mdpi.com/2072-4292/15/2/329/pdf?version=1672916600","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":[{"display_name":"Peace, Justice and strong institutions","score":0.4399999976158142,"id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G3578659092","display_name":null,"funder_award_id":"22-17-00025","funder_id":"https://openalex.org/F4320324099","funder_display_name":"Russian Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320324099","display_name":"Russian Science Foundation","ror":"https://ror.org/03y2gwe85"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4313570505.pdf"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W273955616","https://openalex.org/W278157659","https://openalex.org/W1989022844","https://openalex.org/W1990517717","https://openalex.org/W1990653740","https://openalex.org/W1996061706","https://openalex.org/W2004553299","https://openalex.org/W2005156666","https://openalex.org/W2017517123","https://openalex.org/W2031125107","https://openalex.org/W2034816582","https://openalex.org/W2064843184","https://openalex.org/W2078245351","https://openalex.org/W2085183305","https://openalex.org/W2107636931","https://openalex.org/W2114512586","https://openalex.org/W2125410201","https://openalex.org/W2132424470","https://openalex.org/W2134312057","https://openalex.org/W2140845841","https://openalex.org/W2155632266","https://openalex.org/W2166307050","https://openalex.org/W2172900521","https://openalex.org/W2261059368","https://openalex.org/W2273708466","https://openalex.org/W2405365025","https://openalex.org/W2513188338","https://openalex.org/W2515306179","https://openalex.org/W2557117995","https://openalex.org/W2577871237","https://openalex.org/W2609978791","https://openalex.org/W2755035286","https://openalex.org/W2891711602","https://openalex.org/W2898152330","https://openalex.org/W2898875453","https://openalex.org/W2911964244","https://openalex.org/W2945897702","https://openalex.org/W2988576146","https://openalex.org/W3204149970","https://openalex.org/W3205930030","https://openalex.org/W3210074257","https://openalex.org/W6610017368","https://openalex.org/W6795848648"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2334969021","https://openalex.org/W3199074479","https://openalex.org/W2384091397","https://openalex.org/W2110216534","https://openalex.org/W2374573159","https://openalex.org/W2161216027","https://openalex.org/W3183038704","https://openalex.org/W2238256599"],"abstract_inverted_index":{"Information":[0],"about":[1],"the":[2,22,29,34,41,56,65,98,106,114,125,136,140,149,170,174,183],"species":[3,30,69],"composition":[4],"of":[5,24,28,55,67,97,101,117,139,166],"a":[6,14,52,160],"forest":[7,25,84,141],"is":[8],"necessary":[9],"for":[10,113,124],"assessing":[11],"biodiversity":[12],"in":[13,49,71,105],"particular":[15],"region":[16],"and":[17,43,46,86,153],"making":[18],"economic":[19],"decisions":[20],"on":[21,135,173,182],"management":[23],"resources.":[26],"Recognition":[27],"composition,":[31],"according":[32,74],"to":[33,75],"Earth\u2019s":[35],"remote":[36,92],"sensing":[37,93],"data,":[38,94],"greatly":[39],"simplifies":[40],"work":[42],"reduces":[44],"time":[45],"labor":[47],"costs":[48],"comparison":[50],"with":[51],"traditional":[53],"inventory":[54],"forest,":[57],"conducted":[58],"through":[59],"ground-based":[60],"observations.":[61],"This":[62],"study":[63],"analyzes":[64],"possibilities":[66],"tree":[68],"discrimination":[70],"coniferous\u2013deciduous":[72],"forests":[73],"Sentinel-2":[76,95],"data":[77,138],"using":[78,148],"two":[79],"automated":[80],"recognition":[81,144,162,168],"methods:":[82],"random":[83],"(RF)":[85],"generative":[87],"topographic":[88],"mapping":[89],"(GTM).":[90],"As":[91],"images":[96,112],"Raifa":[99],"section":[100],"Volga-Kama":[102],"State":[103],"Reserve":[104],"Tatarstan":[107],"Republic,":[108],"Russia":[109],"used:":[110],"six":[111],"vegetation":[115],"period":[116],"2020.":[118],"The":[119,129,143,156,164],"analysis":[120],"was":[121,132,146],"carried":[122],"out":[123],"main":[126],"forest-forming":[127],"species.":[128],"training":[130,175],"sample":[131,176],"created":[133],"based":[134],"cadastral":[137],"fund.":[142],"quality":[145],"assessed":[147],"F1-score,":[150],"precision,":[151],"recall,":[152],"accuracy":[154,165,186],"metrics.":[155],"RF":[157,171],"method":[158,172],"showed":[159],"higher":[161],"accuracy.":[163],"correct":[167],"by":[169],"reaches":[177],"0.987,":[178],"F1-score":[179,189],"=":[180,187,190],"0.976,":[181],"control":[184],"sample,":[185],"0.764,":[188],"0.709.":[191]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3}],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2023-01-06T00:00:00"}