{"id":"https://openalex.org/W4313827723","doi":"https://doi.org/10.3390/rs15020375","title":"Quantifying Temperate Forest Diversity by Integrating GEDI LiDAR and Multi-Temporal Sentinel-2 Imagery","display_name":"Quantifying Temperate Forest Diversity by Integrating GEDI LiDAR and Multi-Temporal Sentinel-2 Imagery","publication_year":2023,"publication_date":"2023-01-07","ids":{"openalex":"https://openalex.org/W4313827723","doi":"https://doi.org/10.3390/rs15020375"},"language":"en","primary_location":{"id":"doi:10.3390/rs15020375","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15020375","pdf_url":"https://www.mdpi.com/2072-4292/15/2/375/pdf?version=1673956253","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/2072-4292/15/2/375/pdf?version=1673956253","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5083855889","display_name":"Chunying Ren","orcid":"https://orcid.org/0000-0001-8798-3449"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210101301","display_name":"Northeast Institute of Geography and Agroecology","ror":"https://ror.org/01a9z1q73","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210101301"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunying Ren","raw_affiliation_strings":["Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China","institution_ids":["https://openalex.org/I4210101301","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065094552","display_name":"Hailing Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I149240348","display_name":"Jilin Normal University","ror":"https://ror.org/00xtsag93","country_code":"CN","type":"education","lineage":["https://openalex.org/I149240348"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hailing Jiang","raw_affiliation_strings":["College of Tourism and Geographic Sciences, Jilin Normal University, Siping 136000, China"],"affiliations":[{"raw_affiliation_string":"College of Tourism and Geographic Sciences, Jilin Normal University, Siping 136000, China","institution_ids":["https://openalex.org/I149240348"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084689577","display_name":"Yanbiao Xi","orcid":"https://orcid.org/0000-0002-9711-5634"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210101301","display_name":"Northeast Institute of Geography and Agroecology","ror":"https://ror.org/01a9z1q73","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210101301"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yanbiao Xi","raw_affiliation_strings":["Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China","institution_ids":["https://openalex.org/I4210101301","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100358554","display_name":"Pan Liu","orcid":"https://orcid.org/0009-0001-6305-6429"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210101301","display_name":"Northeast Institute of Geography and Agroecology","ror":"https://ror.org/01a9z1q73","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210101301"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pan Liu","raw_affiliation_strings":["Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China","institution_ids":["https://openalex.org/I4210101301","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100603788","display_name":"Huiying Li","orcid":"https://orcid.org/0000-0002-3637-2581"},"institutions":[{"id":"https://openalex.org/I143413998","display_name":"Qingdao University of Science and Technology","ror":"https://ror.org/041j8js14","country_code":"CN","type":"education","lineage":["https://openalex.org/I143413998"]},{"id":"https://openalex.org/I44468530","display_name":"Qingdao University of Technology","ror":"https://ror.org/01qzc0f54","country_code":"CN","type":"education","lineage":["https://openalex.org/I44468530"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huiying Li","raw_affiliation_strings":["School of Environmental and Municipal Engineering, Qingdao University of Technology, Qingdao 266520, China"],"affiliations":[{"raw_affiliation_string":"School of Environmental and Municipal Engineering, Qingdao University of Technology, Qingdao 266520, China","institution_ids":["https://openalex.org/I143413998","https://openalex.org/I44468530"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5084689577"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210101301"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":5.3971,"has_fulltext":true,"cited_by_count":22,"citation_normalized_percentile":{"value":0.95698771,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"15","issue":"2","first_page":"375","last_page":"375"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9998999834060669,"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/T10895","display_name":"Species Distribution and Climate Change","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/2302","display_name":"Ecological Modeling"},"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/lidar","display_name":"Lidar","score":0.6199066042900085},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5835515260696411},{"id":"https://openalex.org/keywords/diversity-index","display_name":"Diversity index","score":0.5738106369972229},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.49356257915496826},{"id":"https://openalex.org/keywords/normalized-difference-vegetation-index","display_name":"Normalized Difference Vegetation Index","score":0.4767490327358246},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.47092145681381226},{"id":"https://openalex.org/keywords/biodiversity","display_name":"Biodiversity","score":0.4646757245063782},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.40803971886634827},{"id":"https://openalex.org/keywords/physical-geography","display_name":"Physical geography","score":0.37892964482307434},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.33797258138656616},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.28706350922584534},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.260464608669281},{"id":"https://openalex.org/keywords/climate-change","display_name":"Climate change","score":0.25420039892196655},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.2050807774066925},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17429262399673462},{"id":"https://openalex.org/keywords/species-richness","display_name":"Species richness","score":0.1446363627910614},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.09989988803863525},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.09096106886863708}],"concepts":[{"id":"https://openalex.org/C51399673","wikidata":"https://www.wikidata.org/wiki/Q504027","display_name":"Lidar","level":2,"score":0.6199066042900085},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5835515260696411},{"id":"https://openalex.org/C30968088","wikidata":"https://www.wikidata.org/wiki/Q1230601","display_name":"Diversity index","level":3,"score":0.5738106369972229},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.49356257915496826},{"id":"https://openalex.org/C1549246","wikidata":"https://www.wikidata.org/wiki/Q718775","display_name":"Normalized Difference Vegetation Index","level":3,"score":0.4767490327358246},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.47092145681381226},{"id":"https://openalex.org/C130217890","wikidata":"https://www.wikidata.org/wiki/Q47041","display_name":"Biodiversity","level":2,"score":0.4646757245063782},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.40803971886634827},{"id":"https://openalex.org/C100970517","wikidata":"https://www.wikidata.org/wiki/Q52107","display_name":"Physical geography","level":1,"score":0.37892964482307434},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.33797258138656616},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.28706350922584534},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.260464608669281},{"id":"https://openalex.org/C132651083","wikidata":"https://www.wikidata.org/wiki/Q7942","display_name":"Climate change","level":2,"score":0.25420039892196655},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2050807774066925},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17429262399673462},{"id":"https://openalex.org/C53565203","wikidata":"https://www.wikidata.org/wiki/Q17146659","display_name":"Species richness","level":2,"score":0.1446363627910614},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.09989988803863525},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.09096106886863708}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs15020375","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15020375","pdf_url":"https://www.mdpi.com/2072-4292/15/2/375/pdf?version=1673956253","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:7a6e532fa6aa4ac583d451ed55afa028","is_oa":true,"landing_page_url":"https://doaj.org/article/7a6e532fa6aa4ac583d451ed55afa028","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 375 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/15/2/375/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs15020375","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: 375","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs15020375","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15020375","pdf_url":"https://www.mdpi.com/2072-4292/15/2/375/pdf?version=1673956253","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":0.7799999713897705}],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5919176481","display_name":null,"funder_award_id":"42171367","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5939423041","display_name":null,"funder_award_id":"Technology","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8198160257","display_name":null,"funder_award_id":"2022FY101902","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4313827723.pdf"},"referenced_works_count":61,"referenced_works":["https://openalex.org/W1250998135","https://openalex.org/W1933564286","https://openalex.org/W1945623823","https://openalex.org/W1964217023","https://openalex.org/W1984284869","https://openalex.org/W1993272489","https://openalex.org/W1994017316","https://openalex.org/W1995875735","https://openalex.org/W2014585958","https://openalex.org/W2047454491","https://openalex.org/W2055421228","https://openalex.org/W2068733856","https://openalex.org/W2087189381","https://openalex.org/W2092981979","https://openalex.org/W2099596680","https://openalex.org/W2113410727","https://openalex.org/W2118778337","https://openalex.org/W2150776916","https://openalex.org/W2153534477","https://openalex.org/W2261059368","https://openalex.org/W2515306179","https://openalex.org/W2537504540","https://openalex.org/W2555102119","https://openalex.org/W2567315977","https://openalex.org/W2582323655","https://openalex.org/W2597944323","https://openalex.org/W2747398809","https://openalex.org/W2762416812","https://openalex.org/W2771522049","https://openalex.org/W2787894218","https://openalex.org/W2789665835","https://openalex.org/W2793927960","https://openalex.org/W2805393642","https://openalex.org/W2891711602","https://openalex.org/W2913226741","https://openalex.org/W2955389166","https://openalex.org/W2990860778","https://openalex.org/W2991032411","https://openalex.org/W2996206286","https://openalex.org/W3009288410","https://openalex.org/W3015056129","https://openalex.org/W3027299578","https://openalex.org/W3035502245","https://openalex.org/W3041384178","https://openalex.org/W3088522164","https://openalex.org/W3094643344","https://openalex.org/W3094797852","https://openalex.org/W3125515083","https://openalex.org/W3147631320","https://openalex.org/W3172938790","https://openalex.org/W3186328757","https://openalex.org/W3186917005","https://openalex.org/W3209176285","https://openalex.org/W4200177083","https://openalex.org/W4200586701","https://openalex.org/W4205297393","https://openalex.org/W4206659168","https://openalex.org/W4303491862","https://openalex.org/W4309422431","https://openalex.org/W6779303322","https://openalex.org/W6792785587"],"related_works":["https://openalex.org/W4319317934","https://openalex.org/W2901265155","https://openalex.org/W2956374172","https://openalex.org/W4319837668","https://openalex.org/W4308071650","https://openalex.org/W2048488252","https://openalex.org/W2940614149","https://openalex.org/W4288365262","https://openalex.org/W2787485953","https://openalex.org/W3217432596"],"abstract_inverted_index":{"Remotely":[0],"sensed":[1],"estimates":[2],"of":[3,115,133,202,207,226,240],"forest":[4,35,54,82,146,250,262],"diversity":[5,50,68,85,126,147,152,251],"have":[6],"become":[7],"increasingly":[8],"important":[9,178],"in":[10,51,94,141,193,248],"assessing":[11],"anthropogenic":[12],"and":[13,16,27,43,75,91,106,128,136,168,188,198,214,228,232,244,260],"natural":[14,96],"disturbances":[15],"their":[17],"effects":[18],"on":[19,149],"biodiversity":[20],"under":[21],"limited":[22],"resources.":[23],"Whereas":[24],"field":[25],"inventories":[26],"optical":[28],"images":[29,247],"are":[30,56,180,230],"generally":[31],"used":[32,101],"to":[33,47,80,111,258],"estimate":[34],"diversity,":[36],"studies":[37],"that":[38,175],"combine":[39],"vertical":[40],"structure":[41],"information":[42],"multi-temporal":[44,245],"phenological":[45],"characteristics":[46],"accurately":[48],"quantify":[49],"large,":[52],"heterogeneous":[53],"areas":[55],"still":[57],"lacking.":[58],"In":[59,200],"this":[60],"study,":[61],"combined":[62],"with":[63],"regression":[64,156],"models,":[65],"three":[66,150],"different":[67,151],"indices,":[69,123],"namely":[70],"Simpson":[71],"(\u03bb),":[72],"Shannon":[73],"(H\u2032),":[74],"Pielou":[76],"(J\u2032),":[77],"were":[78],"applied":[79],"characterize":[81],"tree":[83],"species":[84],"by":[86],"using":[87,154],"GEDI":[88,241],"LiDAR":[89,242],"data":[90,243],"Sentinel-2":[92,246],"imagery":[93],"temperate":[95],"forest,":[97],"northeast":[98],"China.":[99],"We":[100,143],"Mean":[102],"Decrease":[103],"Gini":[104],"(MDG)":[105],"Boosted":[107],"Regression":[108,170],"Tree":[109],"(BRT)":[110],"assess":[112],"the":[113,176,194,204,208,222,238,256],"importance":[114],"certain":[116],"variables":[117,140,179],"including":[118],"monthly":[119],"spectral":[120],"bands,":[121,191],"vegetation":[122],"foliage":[124],"height":[125],"(FHD),":[127],"plant":[129],"area":[130],"index":[131],"(PAI)":[132],"growing":[134,195],"season":[135,196],"non-growing":[137],"seasons":[138],"(68":[139],"total).":[142],"produced":[144],"12":[145],"maps":[148],"indices":[153],"four":[155],"algorithms:":[157],"Support":[158],"Vector":[159],"Machines":[160],"(SVM),":[161],"Random":[162],"Forest":[163],"(RF),":[164],"K-Nearest":[165],"Neighbors":[166],"(KNN),":[167],"Lasso":[169],"(LR).":[171],"Our":[172],"study":[173,236],"concluded":[174],"most":[177],"FHD,":[181],"NDVI,":[182],"NDWI,":[183],"EVI,":[184],"short-wave":[185],"infrared":[186],"(SWIR)":[187],"red-edge":[189],"(RE)":[190],"especially":[192],"(May":[197],"June).":[199],"terms":[201],"algorithms,":[203],"estimation":[205],"accuracies":[206],"RF":[209],"(averaged":[210,216],"R2":[211,217],"=":[212,218],"0.79)":[213],"SVM":[215],"0.76)":[219],"models":[220,224],"outperformed":[221],"other":[223],"(R2":[225],"KNN":[227],"LR":[229],"0.68":[231],"0.57,":[233],"respectively).":[234],"The":[235],"demonstrates":[237],"accuracy":[239],"estimating":[249],"over":[252],"large":[253],"areas,":[254],"advancing":[255],"capacity":[257],"monitor":[259],"manage":[261],"ecosystems.":[263]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":3}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2023-01-09T00:00:00"}