{"id":"https://openalex.org/W4312570619","doi":"https://doi.org/10.1109/igarss46834.2022.9884860","title":"Feasibility of Using Landsat Synthetic Images to Classify Tree Species in Southwest Sichuan, China","display_name":"Feasibility of Using Landsat Synthetic Images to Classify Tree Species in Southwest Sichuan, China","publication_year":2022,"publication_date":"2022-07-17","ids":{"openalex":"https://openalex.org/W4312570619","doi":"https://doi.org/10.1109/igarss46834.2022.9884860"},"language":"en","primary_location":{"id":"doi:10.1109/igarss46834.2022.9884860","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss46834.2022.9884860","pdf_url":null,"source":{"id":"https://openalex.org/S4363604196","display_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103210731","display_name":"Rui He","orcid":"https://orcid.org/0000-0002-5320-1370"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui He","raw_affiliation_strings":["School of Resources and Environment, University of Electronic Science and Technology of China,Chengdu,Sichuan,China,611731"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Resources and Environment, University of Electronic Science and Technology of China,Chengdu,Sichuan,China,611731","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100671875","display_name":"Binbin He","orcid":"https://orcid.org/0000-0002-0668-6520"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Binbin He","raw_affiliation_strings":["School of Resources and Environment, University of Electronic Science and Technology of China,Chengdu,Sichuan,China,611731"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Resources and Environment, University of Electronic Science and Technology of China,Chengdu,Sichuan,China,611731","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036460960","display_name":"Yue Shi","orcid":"https://orcid.org/0000-0002-0033-0478"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Shi","raw_affiliation_strings":["School of Resources and Environment, University of Electronic Science and Technology of China,Chengdu,Sichuan,China,611731"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Resources and Environment, University of Electronic Science and Technology of China,Chengdu,Sichuan,China,611731","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100334586","display_name":"Liang Chen","orcid":"https://orcid.org/0000-0002-1811-5717"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Chen","raw_affiliation_strings":["School of Resources and Environment, University of Electronic Science and Technology of China,Chengdu,Sichuan,China,611731"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Resources and Environment, University of Electronic Science and Technology of China,Chengdu,Sichuan,China,611731","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100693880","display_name":"Zili Wang","orcid":"https://orcid.org/0000-0002-5003-3092"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zili Wang","raw_affiliation_strings":["School of Resources and Environment, University of Electronic Science and Technology of China,Chengdu,Sichuan,China,611731"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Resources and Environment, University of Electronic Science and Technology of China,Chengdu,Sichuan,China,611731","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112528584","display_name":"Xiaoying Lai","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoying Lai","raw_affiliation_strings":["School of Resources and Environment, University of Electronic Science and Technology of China,Chengdu,Sichuan,China,611731"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Resources and Environment, University of Electronic Science and Technology of China,Chengdu,Sichuan,China,611731","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":1.4635,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.83373728,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"5692","last_page":"5695"},"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":0.9980999827384949,"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/T10226","display_name":"Land Use and Ecosystem Services","score":0.9969000220298767,"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/remote-sensing","display_name":"Remote sensing","score":0.6168630123138428},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4873100519180298},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.4657474458217621},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.44845858216285706},{"id":"https://openalex.org/keywords/biodiversity","display_name":"Biodiversity","score":0.4327859580516815},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.388172447681427},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2702913284301758},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.2389962077140808},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11564728617668152}],"concepts":[{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6168630123138428},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4873100519180298},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.4657474458217621},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44845858216285706},{"id":"https://openalex.org/C130217890","wikidata":"https://www.wikidata.org/wiki/Q47041","display_name":"Biodiversity","level":2,"score":0.4327859580516815},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.388172447681427},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2702913284301758},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.2389962077140808},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11564728617668152},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss46834.2022.9884860","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss46834.2022.9884860","pdf_url":null,"source":{"id":"https://openalex.org/S4363604196","display_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.800000011920929,"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15"}],"awards":[{"id":"https://openalex.org/G7561375871","display_name":null,"funder_award_id":"U20A2090","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":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1208424556","https://openalex.org/W1968563567","https://openalex.org/W1982121855","https://openalex.org/W2008233110","https://openalex.org/W2025745000","https://openalex.org/W2055718260","https://openalex.org/W2090491989","https://openalex.org/W2515306179"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W3193043704","https://openalex.org/W4386259002","https://openalex.org/W1546989560","https://openalex.org/W3171520305","https://openalex.org/W3135126032","https://openalex.org/W1924178503","https://openalex.org/W1571418947","https://openalex.org/W4248048022","https://openalex.org/W4230344035"],"abstract_inverted_index":{"Forest":[0],"tree":[1,32,51,124,205],"species":[2,33,52,125,206],"are":[3,12,34,63],"an":[4],"important":[5],"factor":[6],"in":[7,208],"stand":[8],"structure":[9],"surveys,":[10],"which":[11],"the":[13,20,27,105,117,170,174,181],"basis":[14],"for":[15,56,87,123],"forest":[16,24],"ecological":[17],"planning":[18],"and":[19,29,42,47,76,82,92,189],"development":[21],"of":[22,31,50,111,119,140,144,180],"related":[23,35],"policies.":[25],"Since":[26],"number":[28],"types":[30],"to":[36,73,95,115,148,156,168,204],"ecosystem":[37,58],"parameters":[38],"such":[39],"as":[40],"biodiversity":[41],"habitat":[43],"quality.":[44],"An":[45],"accurate":[46],"detailed":[48],"assessment":[49],"is":[53,84,93,114],"a":[54,85,130],"prerequisite":[55],"effective":[57],"management.":[59],"Complex":[60],"mountainous":[61],"areas":[62],"surrounded":[64],"by":[65,136],"clouds":[66],"all":[67],"year":[68],"round,":[69],"making":[70],"it":[71],"difficult":[72],"obtain":[74],"clean":[75],"usable":[77],"images.":[78,176],"Change":[79],"Continue":[80],"Detection":[81],"Classification(CCDC)":[83],"method":[86],"land":[88],"cover":[89],"change":[90],"detection":[91],"able":[94],"produce":[96],"synthetic":[97,120,158,175,198],"Landsat":[98,121,159,197],"images":[99,139,199],"at":[100],"any":[101],"moment":[102],"based":[103,172],"on":[104,173],"time":[106],"series":[107],"model.":[108],"The":[109,150,177,193],"purpose":[110],"this":[112,128],"paper":[113],"verify":[116],"feasibility":[118],"imagery":[122],"classification.":[126],"In":[127],"study,":[129],"harmonic":[131,151],"function":[132,152],"model":[133,153],"was":[134,154],"built":[135],"using":[137],"518":[138],"northern":[141],"Sichuan":[142],"province":[143],"China":[145],"from":[146],"2000":[147],"2020.":[149],"used":[155,167],"generate":[157],"images,":[160],"then,":[161],"three":[162,182],"ensemble":[163],"classification":[164,207],"models":[165],"were":[166,184],"classify":[169],"trees":[171],"total":[178],"accuracies":[179],"classifications":[183],"85%":[185],"(RF),":[186],"60%":[187],"(AdaBoost),":[188],"78%":[190],"(GBDT),":[191],"respectively.":[192],"results":[194],"show":[195],"that":[196],"can":[200],"be":[201],"well":[202],"applied":[203],"complex":[209],"environments.":[210]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}