{"id":"https://openalex.org/W4381569197","doi":"https://doi.org/10.3390/rs15112821","title":"Texture Features Derived from Sentinel-2 Vegetation Indices for Estimating and Mapping Forest Growing Stock Volume","display_name":"Texture Features Derived from Sentinel-2 Vegetation Indices for Estimating and Mapping Forest Growing Stock Volume","publication_year":2023,"publication_date":"2023-05-29","ids":{"openalex":"https://openalex.org/W4381569197","doi":"https://doi.org/10.3390/rs15112821"},"language":"en","primary_location":{"id":"doi:10.3390/rs15112821","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15112821","pdf_url":"https://www.mdpi.com/2072-4292/15/11/2821/pdf?version=1685436171","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/2072-4292/15/11/2821/pdf?version=1685436171","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5083698991","display_name":"Gengsheng Fang","orcid":"https://orcid.org/0009-0001-8413-0974"},"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":"Gengsheng Fang","raw_affiliation_strings":["College of Mathematics and Computer Science, Zhejiang A & F University, Hangzhou 311300, China","Key Laboratory of Forestry Intelligent Monitoring and Information Technology Research of Zhejiang Province, Zhejiang A & F University, Hangzhou 311300, China"],"affiliations":[{"raw_affiliation_string":"College of Mathematics and Computer Science, Zhejiang A & F University, Hangzhou 311300, China","institution_ids":["https://openalex.org/I1284762954"]},{"raw_affiliation_string":"Key Laboratory of Forestry Intelligent Monitoring and Information Technology Research of Zhejiang Province, Zhejiang A & F University, Hangzhou 311300, China","institution_ids":["https://openalex.org/I1284762954"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100594099","display_name":"Xiaobing He","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaobing He","raw_affiliation_strings":["Baishanzu Scientific Research Monitoring Center, Qianjiangyuan-Baishanzu National Park, Lishui 323000, China"],"affiliations":[{"raw_affiliation_string":"Baishanzu Scientific Research Monitoring Center, Qianjiangyuan-Baishanzu National Park, Lishui 323000, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024247044","display_name":"Yuhui Weng","orcid":"https://orcid.org/0000-0002-2554-1028"},"institutions":[{"id":"https://openalex.org/I201193091","display_name":"Stephen F. Austin State University","ror":"https://ror.org/00hq0e369","country_code":"US","type":"education","lineage":["https://openalex.org/I201193091"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuhui Weng","raw_affiliation_strings":["College of Forestry and Agriculture, Stephen F. Austin State University, Nacogdoches, TX 75962, USA"],"affiliations":[{"raw_affiliation_string":"College of Forestry and Agriculture, Stephen F. Austin State University, Nacogdoches, TX 75962, USA","institution_ids":["https://openalex.org/I201193091"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091039605","display_name":"Luming Fang","orcid":"https://orcid.org/0000-0001-5935-1524"},"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":true,"raw_author_name":"Luming Fang","raw_affiliation_strings":["College of Mathematics and Computer Science, Zhejiang A & F University, Hangzhou 311300, China","Key Laboratory of Forestry Intelligent Monitoring and Information Technology Research of Zhejiang Province, Zhejiang A & F University, Hangzhou 311300, China"],"affiliations":[{"raw_affiliation_string":"College of Mathematics and Computer Science, Zhejiang A & F University, Hangzhou 311300, China","institution_ids":["https://openalex.org/I1284762954"]},{"raw_affiliation_string":"Key Laboratory of Forestry Intelligent Monitoring and Information Technology Research of Zhejiang Province, Zhejiang A & F University, Hangzhou 311300, China","institution_ids":["https://openalex.org/I1284762954"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5091039605"],"corresponding_institution_ids":["https://openalex.org/I1284762954"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":3.573,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.92470413,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"15","issue":"11","first_page":"2821","last_page":"2821"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9997000098228455,"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":0.9997000098228455,"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":0.998199999332428,"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/T11880","display_name":"Forest ecology and management","score":0.9940000176429749,"subfield":{"id":"https://openalex.org/subfields/2309","display_name":"Nature and Landscape Conservation"},"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/standard-deviation","display_name":"Standard deviation","score":0.7436378598213196},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.6105083227157593},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5664049983024597},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5498138666152954},{"id":"https://openalex.org/keywords/spectral-bands","display_name":"Spectral bands","score":0.47431063652038574},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.4326459765434265},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.40673887729644775},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3777516186237335},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3369627296924591},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.2573093771934509},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.2301807999610901},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21418392658233643}],"concepts":[{"id":"https://openalex.org/C22679943","wikidata":"https://www.wikidata.org/wiki/Q159375","display_name":"Standard deviation","level":2,"score":0.7436378598213196},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.6105083227157593},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5664049983024597},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5498138666152954},{"id":"https://openalex.org/C114700698","wikidata":"https://www.wikidata.org/wiki/Q2882278","display_name":"Spectral bands","level":2,"score":0.47431063652038574},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.4326459765434265},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.40673887729644775},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3777516186237335},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3369627296924591},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2573093771934509},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.2301807999610901},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21418392658233643}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs15112821","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15112821","pdf_url":"https://www.mdpi.com/2072-4292/15/11/2821/pdf?version=1685436171","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:e2157f4e173840818ccdb158a2ff6669","is_oa":true,"landing_page_url":"https://doaj.org/article/e2157f4e173840818ccdb158a2ff6669","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 11, p 2821 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/15/11/2821/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs15112821","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 11; Pages: 2821","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs15112821","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15112821","pdf_url":"https://www.mdpi.com/2072-4292/15/11/2821/pdf?version=1685436171","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":[{"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land","score":0.7400000095367432}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4381569197.pdf"},"referenced_works_count":53,"referenced_works":["https://openalex.org/W1662323679","https://openalex.org/W1964217023","https://openalex.org/W1976029164","https://openalex.org/W1983930403","https://openalex.org/W1985166309","https://openalex.org/W1985555755","https://openalex.org/W2012519352","https://openalex.org/W2013795924","https://openalex.org/W2018627383","https://openalex.org/W2039109944","https://openalex.org/W2045453683","https://openalex.org/W2048950501","https://openalex.org/W2056435747","https://openalex.org/W2063267306","https://openalex.org/W2074897034","https://openalex.org/W2089441588","https://openalex.org/W2101354384","https://openalex.org/W2110642642","https://openalex.org/W2111947859","https://openalex.org/W2124837560","https://openalex.org/W2126099406","https://openalex.org/W2128438912","https://openalex.org/W2159961845","https://openalex.org/W2167470043","https://openalex.org/W2261059368","https://openalex.org/W2589181229","https://openalex.org/W2611080000","https://openalex.org/W2765708932","https://openalex.org/W2772177607","https://openalex.org/W2804813561","https://openalex.org/W2890611227","https://openalex.org/W2895091864","https://openalex.org/W2902799593","https://openalex.org/W2905659887","https://openalex.org/W2906231571","https://openalex.org/W2911554154","https://openalex.org/W2911964244","https://openalex.org/W2950294063","https://openalex.org/W2951948330","https://openalex.org/W2954349187","https://openalex.org/W2985495555","https://openalex.org/W2989983865","https://openalex.org/W3010730615","https://openalex.org/W3097706287","https://openalex.org/W3130461578","https://openalex.org/W3177949452","https://openalex.org/W3206591015","https://openalex.org/W4286299948","https://openalex.org/W6646705199","https://openalex.org/W6655012520","https://openalex.org/W6676548523","https://openalex.org/W6746238211","https://openalex.org/W6757366324"],"related_works":["https://openalex.org/W4230514785","https://openalex.org/W2167839896","https://openalex.org/W2087737263","https://openalex.org/W1966373181","https://openalex.org/W2047748252","https://openalex.org/W2052597450","https://openalex.org/W1998402269","https://openalex.org/W2963081958","https://openalex.org/W2102332432","https://openalex.org/W2948606486"],"abstract_inverted_index":{"Forest":[0,58],"growing":[1],"stock":[2],"volume":[3],"(GSV,":[4],"m3/ha)":[5],"is":[6,18],"an":[7],"indispensable":[8],"variable":[9],"for":[10,45,87,118,153,180],"forest":[11,22],"resources":[12],"supervision.":[13],"Precise":[14],"measurement":[15],"of":[16,36,90,106,110,122,157],"GSV":[17,46,89,156],"conducive":[19],"to":[20,143],"monitoring":[21],"dynamics.":[23],"Nevertheless,":[24],"little":[25],"research":[26],"has":[27],"explored":[28],"the":[29,34,84,96,120,155,174,186,190,198],"pattern":[30],"pixel":[31,130,178],"values":[32,79,82],"and":[33,63,70,94,113,173],"function":[35],"texture":[37,114,136,147,162],"features":[38,163],"derived":[39,66,138,149],"from":[40,67,139,150],"a":[41],"vegetation":[42,71],"index":[43],"(VI)":[44],"prediction.":[47],"In":[48],"this":[49],"study,":[50],"we":[51],"investigated":[52],"combining":[53],"linear":[54],"regression":[55],"or":[56,80,146,169],"Random":[57],"with":[59],"Sentinel-2":[60],"spectral":[61,68,111,144,151,181],"predictors":[62],"image":[64,123,129],"textures":[65,124],"bands":[69,152,168],"indices,":[72],"which":[73],"were":[74,116,141,183],"based":[75,125,164],"on":[76,126,165],"standard":[77,175,199],"deviation":[78,176,200],"mean":[81,187],"at":[83,177,189],"plot":[85,191],"level,":[86],"predicting":[88],"Masson":[91],"pine,":[92],"theropencedrymion":[93],"all":[95],"survey":[97],"plots":[98],"in":[99,201],"Anji":[100],"County,":[101],"China.":[102],"Specifically,":[103],"ten":[104],"groups":[105],"experiments":[107],"encompassing":[108],"combinations":[109],"parameters":[112,145],"measures":[115,137,148],"established":[117],"detecting":[119],"potential":[121,196],"two":[127],"different":[128],"statistics.":[131],"The":[132],"results":[133],"showed":[134],"that":[135],"VI":[140,172],"superior":[142],"estimating":[154],"single":[158],"tree":[159],"species.":[160],"Moreover,":[161],"shortwave":[166],"infrared":[167],"their":[170],"related":[171],"level":[179,192],"bands/indices":[182],"emphasized.":[184],"Finally,":[185],"value":[188],"exhibited":[193],"slightly":[194],"stronger":[195],"than":[197],"general.":[202]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":1}],"updated_date":"2026-02-28T09:26:25.869077","created_date":"2025-10-10T00:00:00"}