{"id":"https://openalex.org/W3084094075","doi":"https://doi.org/10.3390/rs12182907","title":"Examining the Roles of Spectral, Spatial, and Topographic Features in Improving Land-Cover and Forest Classifications in a Subtropical Region","display_name":"Examining the Roles of Spectral, Spatial, and Topographic Features in Improving Land-Cover and Forest Classifications in a Subtropical Region","publication_year":2020,"publication_date":"2020-09-08","ids":{"openalex":"https://openalex.org/W3084094075","doi":"https://doi.org/10.3390/rs12182907","mag":"3084094075"},"language":"en","primary_location":{"id":"doi:10.3390/rs12182907","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs12182907","pdf_url":"https://www.mdpi.com/2072-4292/12/18/2907/pdf?version=1599564635","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/2072-4292/12/18/2907/pdf?version=1599564635","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048075789","display_name":"Xiaozhi Yu","orcid":"https://orcid.org/0000-0002-4704-8584"},"institutions":[{"id":"https://openalex.org/I1284762954","display_name":"Zhejiang A & F University","ror":"https://ror.org/02vj4rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I1284762954"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaozhi Yu","raw_affiliation_strings":["School of Environmental & Resource Sciences, Zhejiang A&F University, Hangzhou 311300, China","State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Hangzhou 311300, China"],"raw_orcid":"https://orcid.org/0000-0002-4704-8584","affiliations":[{"raw_affiliation_string":"School of Environmental & Resource Sciences, Zhejiang A&F University, Hangzhou 311300, China","institution_ids":["https://openalex.org/I1284762954"]},{"raw_affiliation_string":"State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Hangzhou 311300, China","institution_ids":["https://openalex.org/I1284762954"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015848806","display_name":"Dengsheng Lu","orcid":"https://orcid.org/0000-0003-4767-5710"},"institutions":[{"id":"https://openalex.org/I111753288","display_name":"Fujian Normal University","ror":"https://ror.org/020azk594","country_code":"CN","type":"education","lineage":["https://openalex.org/I111753288"]},{"id":"https://openalex.org/I1284762954","display_name":"Zhejiang A & F University","ror":"https://ror.org/02vj4rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I1284762954"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dengsheng Lu","raw_affiliation_strings":["School of Environmental & Resource Sciences, Zhejiang A&F University, Hangzhou 311300, China","State Key Laboratory for Subtropical Mountain Ecology of the Ministry of Science and Technology and Fujian Province, Fujian Normal University, Fuzhou 350007, China","State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Hangzhou 311300, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Environmental & Resource Sciences, Zhejiang A&F University, Hangzhou 311300, China","institution_ids":["https://openalex.org/I1284762954"]},{"raw_affiliation_string":"State Key Laboratory for Subtropical Mountain Ecology of the Ministry of Science and Technology and Fujian Province, Fujian Normal University, Fuzhou 350007, China","institution_ids":["https://openalex.org/I111753288"]},{"raw_affiliation_string":"State Key Laboratory of Subtropical Silviculture, Zhejiang A&F University, Hangzhou 311300, China","institution_ids":["https://openalex.org/I1284762954"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051921210","display_name":"Xiandie Jiang","orcid":"https://orcid.org/0000-0002-0104-3657"},"institutions":[{"id":"https://openalex.org/I111753288","display_name":"Fujian Normal University","ror":"https://ror.org/020azk594","country_code":"CN","type":"education","lineage":["https://openalex.org/I111753288"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiandie Jiang","raw_affiliation_strings":["School of Geographical Sciences, Fujian Normal University, Fuzhou 350007, China","State Key Laboratory for Subtropical Mountain Ecology of the Ministry of Science and Technology and Fujian Province, Fujian Normal University, Fuzhou 350007, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Geographical Sciences, Fujian Normal University, Fuzhou 350007, China","institution_ids":["https://openalex.org/I111753288"]},{"raw_affiliation_string":"State Key Laboratory for Subtropical Mountain Ecology of the Ministry of Science and Technology and Fujian Province, Fujian Normal University, Fuzhou 350007, China","institution_ids":["https://openalex.org/I111753288"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101792467","display_name":"Guiying Li","orcid":"https://orcid.org/0000-0001-7198-4607"},"institutions":[{"id":"https://openalex.org/I111753288","display_name":"Fujian Normal University","ror":"https://ror.org/020azk594","country_code":"CN","type":"education","lineage":["https://openalex.org/I111753288"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guiying Li","raw_affiliation_strings":["School of Geographical Sciences, Fujian Normal University, Fuzhou 350007, China","State Key Laboratory for Subtropical Mountain Ecology of the Ministry of Science and Technology and Fujian Province, Fujian Normal University, Fuzhou 350007, China"],"raw_orcid":"https://orcid.org/0000-0001-7198-4607","affiliations":[{"raw_affiliation_string":"School of Geographical Sciences, Fujian Normal University, Fuzhou 350007, China","institution_ids":["https://openalex.org/I111753288"]},{"raw_affiliation_string":"State Key Laboratory for Subtropical Mountain Ecology of the Ministry of Science and Technology and Fujian Province, Fujian Normal University, Fuzhou 350007, China","institution_ids":["https://openalex.org/I111753288"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055794991","display_name":"Yaoliang Chen","orcid":"https://orcid.org/0000-0002-9763-7803"},"institutions":[{"id":"https://openalex.org/I111753288","display_name":"Fujian Normal University","ror":"https://ror.org/020azk594","country_code":"CN","type":"education","lineage":["https://openalex.org/I111753288"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaoliang Chen","raw_affiliation_strings":["School of Geographical Sciences, Fujian Normal University, Fuzhou 350007, China","State Key Laboratory for Subtropical Mountain Ecology of the Ministry of Science and Technology and Fujian Province, Fujian Normal University, Fuzhou 350007, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Geographical Sciences, Fujian Normal University, Fuzhou 350007, China","institution_ids":["https://openalex.org/I111753288"]},{"raw_affiliation_string":"State Key Laboratory for Subtropical Mountain Ecology of the Ministry of Science and Technology and Fujian Province, Fujian Normal University, Fuzhou 350007, China","institution_ids":["https://openalex.org/I111753288"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000121185","display_name":"Dengqiu Li","orcid":"https://orcid.org/0000-0002-9839-759X"},"institutions":[{"id":"https://openalex.org/I111753288","display_name":"Fujian Normal University","ror":"https://ror.org/020azk594","country_code":"CN","type":"education","lineage":["https://openalex.org/I111753288"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dengqiu Li","raw_affiliation_strings":["School of Geographical Sciences, Fujian Normal University, Fuzhou 350007, China","State Key Laboratory for Subtropical Mountain Ecology of the Ministry of Science and Technology and Fujian Province, Fujian Normal University, Fuzhou 350007, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Geographical Sciences, Fujian Normal University, Fuzhou 350007, China","institution_ids":["https://openalex.org/I111753288"]},{"raw_affiliation_string":"State Key Laboratory for Subtropical Mountain Ecology of the Ministry of Science and Technology and Fujian Province, Fujian Normal University, Fuzhou 350007, China","institution_ids":["https://openalex.org/I111753288"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056366615","display_name":"Erxue Chen","orcid":"https://orcid.org/0000-0001-8172-274X"},"institutions":[{"id":"https://openalex.org/I4210114891","display_name":"Institute of Forest Resource Information Techniques","ror":"https://ror.org/01h5d6x15","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114891","https://openalex.org/I4210128615","https://openalex.org/I4210134523"]},{"id":"https://openalex.org/I4210128615","display_name":"Chinese Academy of Forestry","ror":"https://ror.org/0360dkv71","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210128615","https://openalex.org/I4210134523"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Erxue Chen","raw_affiliation_strings":["Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China","institution_ids":["https://openalex.org/I4210114891","https://openalex.org/I4210128615"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5015848806"],"corresponding_institution_ids":["https://openalex.org/I111753288","https://openalex.org/I1284762954"],"apc_list":{"value":2200,"currency":"CHF","value_usd":2324},"apc_paid":{"value":2200,"currency":"CHF","value_usd":2324},"fwci":3.6325,"has_fulltext":true,"cited_by_count":55,"citation_normalized_percentile":{"value":0.93240129,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"12","issue":"18","first_page":"2907","last_page":"2907"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.7246221899986267},{"id":"https://openalex.org/keywords/land-cover","display_name":"Land cover","score":0.7202122211456299},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.6528602838516235},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.4791233539581299},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.4697929620742798},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.39374056458473206},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.37148237228393555},{"id":"https://openalex.org/keywords/land-use","display_name":"Land use","score":0.33549201488494873},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.3320772647857666},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.1977630853652954},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15521186590194702},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.057366758584976196}],"concepts":[{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.7246221899986267},{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.7202122211456299},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.6528602838516235},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.4791233539581299},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.4697929620742798},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.39374056458473206},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.37148237228393555},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.33549201488494873},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.3320772647857666},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.1977630853652954},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15521186590194702},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.057366758584976196},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/rs12182907","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs12182907","pdf_url":"https://www.mdpi.com/2072-4292/12/18/2907/pdf?version=1599564635","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:fa88933a278f4c5f9630d9f0b08a4c7c","is_oa":true,"landing_page_url":"https://doaj.org/article/fa88933a278f4c5f9630d9f0b08a4c7c","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":"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 12, Iss 18, p 2907 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/rs12182907","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs12182907","pdf_url":"https://www.mdpi.com/2072-4292/12/18/2907/pdf?version=1599564635","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":0.7400000095367432,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"}],"awards":[{"id":"https://openalex.org/G3651319506","display_name":null,"funder_award_id":"41701490.","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":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3084094075.pdf","grobid_xml":"https://content.openalex.org/works/W3084094075.grobid-xml"},"referenced_works_count":86,"referenced_works":["https://openalex.org/W1483493965","https://openalex.org/W1549573801","https://openalex.org/W1965813619","https://openalex.org/W1976044762","https://openalex.org/W1979967512","https://openalex.org/W1980547211","https://openalex.org/W1990653740","https://openalex.org/W2001510610","https://openalex.org/W2004553299","https://openalex.org/W2006929658","https://openalex.org/W2014555541","https://openalex.org/W2028278285","https://openalex.org/W2030061234","https://openalex.org/W2044465660","https://openalex.org/W2045422717","https://openalex.org/W2045566812","https://openalex.org/W2046339565","https://openalex.org/W2058707739","https://openalex.org/W2078180904","https://openalex.org/W2080096625","https://openalex.org/W2085183305","https://openalex.org/W2093072860","https://openalex.org/W2097492507","https://openalex.org/W2099508699","https://openalex.org/W2105090634","https://openalex.org/W2110133912","https://openalex.org/W2114828048","https://openalex.org/W2120367266","https://openalex.org/W2133785052","https://openalex.org/W2135053426","https://openalex.org/W2149435085","https://openalex.org/W2150986124","https://openalex.org/W2155632266","https://openalex.org/W2158443779","https://openalex.org/W2161568916","https://openalex.org/W2168809519","https://openalex.org/W2168920113","https://openalex.org/W2181615349","https://openalex.org/W2224718689","https://openalex.org/W2238226741","https://openalex.org/W2261059368","https://openalex.org/W2282484194","https://openalex.org/W2289554537","https://openalex.org/W2307094448","https://openalex.org/W2325657342","https://openalex.org/W2334867485","https://openalex.org/W2341443844","https://openalex.org/W2344328155","https://openalex.org/W2407655494","https://openalex.org/W2515306179","https://openalex.org/W2564730549","https://openalex.org/W2587951776","https://openalex.org/W2648242067","https://openalex.org/W2755013453","https://openalex.org/W2759002195","https://openalex.org/W2767814567","https://openalex.org/W2793927960","https://openalex.org/W2804363015","https://openalex.org/W2808092904","https://openalex.org/W2883560370","https://openalex.org/W2884996885","https://openalex.org/W2891711602","https://openalex.org/W2892264623","https://openalex.org/W2896065695","https://openalex.org/W2898446904","https://openalex.org/W2906082293","https://openalex.org/W2910829991","https://openalex.org/W2911261286","https://openalex.org/W2913065079","https://openalex.org/W2914261052","https://openalex.org/W2920930972","https://openalex.org/W2935706473","https://openalex.org/W2955617386","https://openalex.org/W2962723135","https://openalex.org/W2972170785","https://openalex.org/W2980591256","https://openalex.org/W2982603973","https://openalex.org/W2995525931","https://openalex.org/W3002608077","https://openalex.org/W3013612629","https://openalex.org/W3027230174","https://openalex.org/W3047317383","https://openalex.org/W4210699701","https://openalex.org/W4385527727","https://openalex.org/W6735132182","https://openalex.org/W6757082346"],"related_works":["https://openalex.org/W2615806692","https://openalex.org/W2080965330","https://openalex.org/W3133615129","https://openalex.org/W2087854757","https://openalex.org/W2188959887","https://openalex.org/W2373152553","https://openalex.org/W2547534968","https://openalex.org/W2972049582","https://openalex.org/W4389201442","https://openalex.org/W2386169820"],"abstract_inverted_index":{"Many":[0],"studies":[1],"have":[2],"investigated":[3],"the":[4,111,130,144,210,224],"effects":[5],"of":[6,11,39,58,135,154,163,203,232,271],"spectral":[7,59,113,155,207,236,272],"and":[8,15,20,60,67,69,86,90,119,122,165,177,237,256,274,285],"spatial":[9,45,61,74,127,175,182,187,198,212,228,279],"features":[10,35,62],"remotely":[12,40],"sensed":[13,41],"data":[14,42,115,124,167,208],"topographic":[16,91,233],"characteristics":[17],"on":[18,29,117],"land-cover":[19,95,139,284],"forest":[21,101,105,258,286],"classification":[22,48,96,133,247],"results,":[23],"but":[24],"they":[25],"are":[26],"mainly":[27],"based":[28,116],"individual":[30,150],"sensor":[31],"data.":[32],"How":[33],"these":[34],"from":[36,63,77,157,185,196],"different":[37],"kinds":[38],"with":[43,73,125],"various":[44],"resolutions":[46],"influence":[47],"results":[49,97,108],"is":[50],"unclear.":[51],"We":[52],"conducted":[53],"a":[54,99],"comprehensively":[55],"comparative":[56],"analysis":[57],"ZiYuan-3":[64],"(ZY-3),":[65],"Sentinel-2,":[66],"Landsat":[68],"their":[70],"fused":[71],"datasets":[72],"resolution":[75,128,188,199,213,229,280],"ranges":[76],"2":[78],"m,":[79,81,83,85,89],"6":[80],"10":[82,160],"15":[84],"to":[87,159,221,226,277],"30":[88],"factors":[92,234],"in":[93,98,209,223,282,288],"influencing":[94],"subtropical":[100,289],"ecosystem":[102],"using":[103,268],"random":[104],"approach.":[106],"The":[107,152,201,246],"indicated":[109],"that":[110],"combined":[112],"(fused":[114],"ZY-3":[118,164],"Sentinel-2),":[120],"spatial,":[121],"topographical":[123],"2-m":[126,174,211],"provided":[129],"highest":[131,145],"overall":[132,169,216,242],"accuracy":[134,170,217,243],"83.5%":[136],"for":[137,147,249,267],"11":[138],"classes,":[140],"as":[141,143],"well":[142],"accuracies":[146,248],"almost":[148],"all":[149],"classes.":[151],"improvement":[153],"bands":[156,273],"4":[158],"through":[161],"fusion":[162],"Sentinel-2":[166],"increased":[168],"by":[171,178,218,244],"14.2%":[172],"at":[173,180],"resolution,":[176],"11.1%":[179],"6-m":[181],"resolution.":[183],"Textures":[184],"high":[186],"imagery":[189,214,239],"play":[190],"more":[191],"important":[192],"roles":[193],"than":[194],"textures":[195,275],"medium":[197],"images.":[200,230],"incorporation":[202],"textural":[204,238],"images":[205,281],"into":[206,235],"improved":[215,241],"6.0\u20137.7%":[219],"compared":[220],"1.1\u20131.7%":[222],"10-m":[225],"30-m":[227],"Incorporation":[231],"further":[240],"1.2\u20135.5%.":[245],"coniferous":[250],"forest,":[251],"eucalyptus,":[252],"other":[253],"broadleaf":[254],"forests,":[255],"bamboo":[257],"can":[259],"be":[260],"85.3\u201391.1%.":[261],"This":[262],"research":[263],"provides":[264],"new":[265],"insights":[266],"proper":[269],"combinations":[270],"corresponding":[276],"specifically":[278],"improving":[283],"classifications":[287],"regions.":[290]},"counts_by_year":[{"year":2026,"cited_by_count":10},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":6}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2025-10-10T00:00:00"}