{"id":"https://openalex.org/W4221015213","doi":"https://doi.org/10.3390/rs14061453","title":"Modeling Forest Canopy Cover: A Synergistic Use of Sentinel-2, Aerial Photogrammetry Data, and Machine Learning","display_name":"Modeling Forest Canopy Cover: A Synergistic Use of Sentinel-2, Aerial Photogrammetry Data, and Machine Learning","publication_year":2022,"publication_date":"2022-03-17","ids":{"openalex":"https://openalex.org/W4221015213","doi":"https://doi.org/10.3390/rs14061453"},"language":"en","primary_location":{"id":"doi:10.3390/rs14061453","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14061453","pdf_url":"https://www.mdpi.com/2072-4292/14/6/1453/pdf?version=1647843661","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","datacite","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/14/6/1453/pdf?version=1647843661","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061091258","display_name":"Vahid Nasiri","orcid":"https://orcid.org/0000-0003-2819-142X"},"institutions":[{"id":"https://openalex.org/I23946033","display_name":"University of Tehran","ror":"https://ror.org/05vf56z40","country_code":"IR","type":"education","lineage":["https://openalex.org/I23946033"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Vahid Nasiri","raw_affiliation_strings":["Department of Forestry and Forest Economics, Faculty of Natural Resources, University of Tehran, Karaj 1417643184, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Forestry and Forest Economics, Faculty of Natural Resources, University of Tehran, Karaj 1417643184, Iran","institution_ids":["https://openalex.org/I23946033"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007045895","display_name":"Ali Asghar Darvishsefat","orcid":"https://orcid.org/0000-0002-4742-1799"},"institutions":[{"id":"https://openalex.org/I23946033","display_name":"University of Tehran","ror":"https://ror.org/05vf56z40","country_code":"IR","type":"education","lineage":["https://openalex.org/I23946033"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Ali Asghar Darvishsefat","raw_affiliation_strings":["Department of Forestry and Forest Economics, Faculty of Natural Resources, University of Tehran, Karaj 1417643184, Iran"],"raw_orcid":"https://orcid.org/0000-0002-4742-1799","affiliations":[{"raw_affiliation_string":"Department of Forestry and Forest Economics, Faculty of Natural Resources, University of Tehran, Karaj 1417643184, Iran","institution_ids":["https://openalex.org/I23946033"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014637550","display_name":"Hossein Arefi","orcid":"https://orcid.org/0000-0002-8014-624X"},"institutions":[{"id":"https://openalex.org/I164387090","display_name":"University of Applied Sciences Mainz","ror":"https://ror.org/02re32a17","country_code":"DE","type":"education","lineage":["https://openalex.org/I164387090"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Hossein Arefi","raw_affiliation_strings":["Department of Technology, Mainz University of Applied Sciences, 55128 Mainz, Germany"],"raw_orcid":"https://orcid.org/0000-0002-8014-624X","affiliations":[{"raw_affiliation_string":"Department of Technology, Mainz University of Applied Sciences, 55128 Mainz, Germany","institution_ids":["https://openalex.org/I164387090"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047134145","display_name":"Verena C. Griess","orcid":"https://orcid.org/0000-0002-3856-3736"},"institutions":[{"id":"https://openalex.org/I35440088","display_name":"ETH Zurich","ror":"https://ror.org/05a28rw58","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I35440088"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Verena C. Griess","raw_affiliation_strings":["Department of Environmental System Sciences, Institute of Terrestrial Ecosystems, ETH Z\u00fcrich, 8092 Zurich, Switzerland"],"raw_orcid":"https://orcid.org/0000-0002-3856-3736","affiliations":[{"raw_affiliation_string":"Department of Environmental System Sciences, Institute of Terrestrial Ecosystems, ETH Z\u00fcrich, 8092 Zurich, Switzerland","institution_ids":["https://openalex.org/I35440088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001636034","display_name":"Seyed Mohammad Moein Sadeghi","orcid":"https://orcid.org/0000-0001-5562-6770"},"institutions":[{"id":"https://openalex.org/I3123573182","display_name":"Transylvania University of Bra\u0219ov","ror":"https://ror.org/01cg9ws23","country_code":"RO","type":"education","lineage":["https://openalex.org/I3123573182"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Seyed Mohammad Moein Sadeghi","raw_affiliation_strings":["Department of Forest Engineering, Forest Management Planning and Terrestrial Measurements, Faculty of Silviculture and Forest Engineering, Transilvania University of Brasov, 500123 Brasov, Romania"],"raw_orcid":"https://orcid.org/0000-0001-5562-6770","affiliations":[{"raw_affiliation_string":"Department of Forest Engineering, Forest Management Planning and Terrestrial Measurements, Faculty of Silviculture and Forest Engineering, Transilvania University of Brasov, 500123 Brasov, Romania","institution_ids":["https://openalex.org/I3123573182"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069405475","display_name":"Stelian Alexandru Borz","orcid":"https://orcid.org/0000-0003-4571-7235"},"institutions":[{"id":"https://openalex.org/I3123573182","display_name":"Transylvania University of Bra\u0219ov","ror":"https://ror.org/01cg9ws23","country_code":"RO","type":"education","lineage":["https://openalex.org/I3123573182"]}],"countries":["RO"],"is_corresponding":true,"raw_author_name":"Stelian Alexandru Borz","raw_affiliation_strings":["Department of Forest Engineering, Forest Management Planning and Terrestrial Measurements, Faculty of Silviculture and Forest Engineering, Transilvania University of Brasov, 500123 Brasov, Romania"],"raw_orcid":"https://orcid.org/0000-0003-4571-7235","affiliations":[{"raw_affiliation_string":"Department of Forest Engineering, Forest Management Planning and Terrestrial Measurements, Faculty of Silviculture and Forest Engineering, Transilvania University of Brasov, 500123 Brasov, Romania","institution_ids":["https://openalex.org/I3123573182"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5069405475"],"corresponding_institution_ids":["https://openalex.org/I3123573182"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":5.8874,"has_fulltext":false,"cited_by_count":79,"citation_normalized_percentile":{"value":0.97578176,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"14","issue":"6","first_page":"1453","last_page":"1453"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","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/T11164","display_name":"Remote Sensing and LiDAR Applications","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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9998000264167786,"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/T10226","display_name":"Land Use and Ecosystem Services","score":0.9945999979972839,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.7313159704208374},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6125593185424805},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.5757070779800415},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.5471150875091553},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.5381267070770264},{"id":"https://openalex.org/keywords/gradient-boosting","display_name":"Gradient boosting","score":0.5122811198234558},{"id":"https://openalex.org/keywords/tree-canopy","display_name":"Tree canopy","score":0.4769020080566406},{"id":"https://openalex.org/keywords/canopy","display_name":"Canopy","score":0.4337957203388214},{"id":"https://openalex.org/keywords/normalized-difference-vegetation-index","display_name":"Normalized Difference Vegetation Index","score":0.4335029423236847},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.34601151943206787},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2599092721939087},{"id":"https://openalex.org/keywords/climate-change","display_name":"Climate change","score":0.1677495241165161},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.14217999577522278},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.12874725461006165}],"concepts":[{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.7313159704208374},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6125593185424805},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.5757070779800415},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.5471150875091553},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.5381267070770264},{"id":"https://openalex.org/C70153297","wikidata":"https://www.wikidata.org/wiki/Q5591907","display_name":"Gradient boosting","level":3,"score":0.5122811198234558},{"id":"https://openalex.org/C39807119","wikidata":"https://www.wikidata.org/wiki/Q1134228","display_name":"Tree canopy","level":3,"score":0.4769020080566406},{"id":"https://openalex.org/C101000010","wikidata":"https://www.wikidata.org/wiki/Q5033434","display_name":"Canopy","level":2,"score":0.4337957203388214},{"id":"https://openalex.org/C1549246","wikidata":"https://www.wikidata.org/wiki/Q718775","display_name":"Normalized Difference Vegetation Index","level":3,"score":0.4335029423236847},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.34601151943206787},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2599092721939087},{"id":"https://openalex.org/C132651083","wikidata":"https://www.wikidata.org/wiki/Q7942","display_name":"Climate change","level":2,"score":0.1677495241165161},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.14217999577522278},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.12874725461006165},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","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}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/rs14061453","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14061453","pdf_url":"https://www.mdpi.com/2072-4292/14/6/1453/pdf?version=1647843661","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:4145876fecfa4c60a44b8d7ef9d97569","is_oa":false,"landing_page_url":"https://doaj.org/article/4145876fecfa4c60a44b8d7ef9d97569","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 14, Iss 6, p 1453 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/14/6/1453/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs14061453","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 14; Issue 6; Pages: 1453","raw_type":"Text"},{"id":"pmh:oai:www.research-collection.ethz.ch:20.500.11850/538077","is_oa":true,"landing_page_url":"http://hdl.handle.net/20.500.11850/538077","pdf_url":null,"source":{"id":"https://openalex.org/S4306402302","display_name":"Repository for Publications and Research Data (ETH Zurich)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I35440088","host_organization_name":"ETH Zurich","host_organization_lineage":["https://openalex.org/I35440088"],"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, 14 (S 6)","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"doi:10.3929/ethz-b-000538077","is_oa":true,"landing_page_url":"https://doi.org/10.3929/ethz-b-000538077","pdf_url":null,"source":{"id":"https://openalex.org/S7407051236","display_name":"ETH Z\u00fcrich Research Collection","issn_l":null,"issn":[],"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":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"doi:10.3390/rs14061453","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14061453","pdf_url":"https://www.mdpi.com/2072-4292/14/6/1453/pdf?version=1647843661","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":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.7400000095367432}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4221015213.pdf"},"referenced_works_count":86,"referenced_works":["https://openalex.org/W1535753778","https://openalex.org/W1797352249","https://openalex.org/W1831050183","https://openalex.org/W1948133483","https://openalex.org/W1981925508","https://openalex.org/W2000102737","https://openalex.org/W2001618165","https://openalex.org/W2010658144","https://openalex.org/W2047933610","https://openalex.org/W2056805770","https://openalex.org/W2067700218","https://openalex.org/W2068177234","https://openalex.org/W2101029415","https://openalex.org/W2122825543","https://openalex.org/W2173797730","https://openalex.org/W2295598076","https://openalex.org/W2332974030","https://openalex.org/W2405365025","https://openalex.org/W2409846270","https://openalex.org/W2499334988","https://openalex.org/W2598380640","https://openalex.org/W2601967223","https://openalex.org/W2602690536","https://openalex.org/W2626736357","https://openalex.org/W2743194349","https://openalex.org/W2765179060","https://openalex.org/W2766317176","https://openalex.org/W2768106143","https://openalex.org/W2776146695","https://openalex.org/W2783093706","https://openalex.org/W2792209502","https://openalex.org/W2792384647","https://openalex.org/W2803457939","https://openalex.org/W2891254428","https://openalex.org/W2910355480","https://openalex.org/W2910490207","https://openalex.org/W2911964244","https://openalex.org/W2923157327","https://openalex.org/W2940756181","https://openalex.org/W2942804586","https://openalex.org/W2950294063","https://openalex.org/W2950604226","https://openalex.org/W2955384860","https://openalex.org/W2955427403","https://openalex.org/W2987201163","https://openalex.org/W2997601423","https://openalex.org/W2998577031","https://openalex.org/W3003324166","https://openalex.org/W3011213073","https://openalex.org/W3012105481","https://openalex.org/W3014283326","https://openalex.org/W3022517580","https://openalex.org/W3022527331","https://openalex.org/W3028164413","https://openalex.org/W3034757054","https://openalex.org/W3035669489","https://openalex.org/W3037264916","https://openalex.org/W3043375810","https://openalex.org/W3045454721","https://openalex.org/W3045536146","https://openalex.org/W3045879025","https://openalex.org/W3081125651","https://openalex.org/W3094025087","https://openalex.org/W3094837421","https://openalex.org/W3102181181","https://openalex.org/W3111951761","https://openalex.org/W3112083326","https://openalex.org/W3123405779","https://openalex.org/W3123542491","https://openalex.org/W3125346167","https://openalex.org/W3155736070","https://openalex.org/W3163340372","https://openalex.org/W3169750671","https://openalex.org/W3173921551","https://openalex.org/W3186706259","https://openalex.org/W3200331759","https://openalex.org/W3209804565","https://openalex.org/W3216564922","https://openalex.org/W4200459459","https://openalex.org/W4205610267","https://openalex.org/W4289562005","https://openalex.org/W6675332360","https://openalex.org/W6745851930","https://openalex.org/W6772375692","https://openalex.org/W6804446005","https://openalex.org/W6829846596"],"related_works":["https://openalex.org/W4318664220","https://openalex.org/W2771047279","https://openalex.org/W4388409104","https://openalex.org/W3207046288","https://openalex.org/W3023446922","https://openalex.org/W4324030030","https://openalex.org/W4392566681","https://openalex.org/W1980260791","https://openalex.org/W4385533602","https://openalex.org/W2124951708"],"abstract_inverted_index":{"Forest":[0],"canopy":[1],"cover":[2],"(FCC)":[3],"is":[4,13],"an":[5,31],"important":[6],"ecological":[7],"parameter":[8],"of":[9,33,110,129,180,193],"forest":[10,16,82],"ecosystems,":[11],"and":[12,25,40,59,68,90,102,121,152,166,187,198],"correlated":[14],"with":[15],"characteristics,":[17],"including":[18,117],"plant":[19],"growth,":[20],"regeneration,":[21],"biodiversity,":[22],"light":[23],"regimes,":[24],"hydrological":[26],"properties.":[27],"Here,":[28],"we":[29],"present":[30],"approach":[32],"combining":[34],"Sentinel-2":[35,56,185],"data,":[36,186],"high-resolution":[37],"aerial":[38],"images,":[39,184],"machine":[41,85],"learning":[42],"(ML)":[43],"algorithms":[44,98],"to":[45,76,100,176],"model":[46],"FCC":[47,70],"in":[48,127],"the":[49,96,105,124,130,139,164,167,178,191],"Hyrcanian":[50],"mixed":[51],"temperate":[52],"forest,":[53],"Northern":[54],"Iran.":[55],"multispectral":[57],"bands":[58],"vegetation":[60,115],"indices":[61,116],"were":[62,95,123],"used":[63,99],"as":[64],"variables":[65],"for":[66,190,196],"modeling":[67],"mapping":[69,200],"based":[71],"on":[72,104],"UAV":[73],"ground":[74],"truth":[75],"a":[77],"wider":[78],"spatial":[79],"extent.":[80],"Random":[81],"(RF),":[83],"support-vector":[84],"(SVM),":[86],"elastic":[87],"net":[88],"(ENET),":[89],"extreme":[91],"gradient":[92],"boosting":[93],"(XGBoost)":[94],"ML":[97,188],"learn":[101],"generalize":[103],"remotely":[106],"sensed":[107],"variables.":[108],"Evaluation":[109],"variable":[111],"importance":[112],"indicated":[113],"that":[114,137],"NDVI,":[118],"NDVI-A,":[119],"NDRE,":[120],"NDI45":[122],"dominant":[125],"predictors":[126],"most":[128],"models.":[131],"Model":[132],"accuracy":[133],"estimation":[134,192],"results":[135],"showed":[136,163],"among":[138],"tested":[140],"models,":[141],"RF":[142],"(R2":[143,154],"=":[144,147,150,155,158,161],"0.67,":[145],"RMSE":[146,157],"18.87%,":[148],"MAE":[149,160],"15.35%)":[151],"ENET":[153],"0.63,":[156],"20.04%,":[159],"16.44%)":[162],"best":[165],"worst":[168],"performance,":[169],"respectively.":[170],"In":[171],"conclusion,":[172],"it":[173],"was":[174],"possible":[175],"prove":[177],"suitability":[179],"integrating":[181],"UAV-obtained":[182],"RGB":[183],"models":[189],"FCC,":[194],"intended":[195],"precise":[197],"fast":[199],"at":[201],"landscape-level":[202],"scale.":[203]},"counts_by_year":[{"year":2026,"cited_by_count":11},{"year":2025,"cited_by_count":18},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":22},{"year":2022,"cited_by_count":11}],"updated_date":"2026-06-17T08:01:34.144755","created_date":"2025-10-10T00:00:00"}
