{"id":"https://openalex.org/W4402896348","doi":"https://doi.org/10.1109/tgrs.2024.3465590","title":"Mapping of Land Cover Over Highly Heterogeneous Areas in Yunnan Province With Active and Passive Remotely Sensed Data","display_name":"Mapping of Land Cover Over Highly Heterogeneous Areas in Yunnan Province With Active and Passive Remotely Sensed Data","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4402896348","doi":"https://doi.org/10.1109/tgrs.2024.3465590"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2024.3465590","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3465590","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"},"type":"article","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/A5004933004","display_name":"Tao Zhang","orcid":"https://orcid.org/0000-0001-5119-0279"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Zhang","raw_affiliation_strings":["Institute of International Rivers and Eco-Security, Yunnan University, Kunming, China"],"raw_orcid":"https://orcid.org/0000-0001-5119-0279","affiliations":[{"raw_affiliation_string":"Institute of International Rivers and Eco-Security, Yunnan University, Kunming, China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088342796","display_name":"Bo\u2010Hui Tang","orcid":"https://orcid.org/0000-0002-1918-5346"},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo-Hui Tang","raw_affiliation_strings":["Faculty of Land Resource Engineering, Kunming University of Science and Technology, Kunming, China"],"raw_orcid":"https://orcid.org/0000-0002-1918-5346","affiliations":[{"raw_affiliation_string":"Faculty of Land Resource Engineering, Kunming University of Science and Technology, Kunming, China","institution_ids":["https://openalex.org/I10660446"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102013178","display_name":"Zhifang Zhao","orcid":"https://orcid.org/0009-0003-3419-3859"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhifang Zhao","raw_affiliation_strings":["School of Earth Sciences, Yunnan University, Kunming, China"],"raw_orcid":"https://orcid.org/0009-0003-3419-3859","affiliations":[{"raw_affiliation_string":"School of Earth Sciences, Yunnan University, Kunming, China","institution_ids":["https://openalex.org/I189210763"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6577,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.82242651,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"62","issue":null,"first_page":"1","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13203","display_name":"Environmental Changes in China","score":0.9854000210762024,"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"}},{"id":"https://openalex.org/T14157","display_name":"Environmental and Agricultural Sciences","score":0.9681000113487244,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"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":0.7403857707977295},{"id":"https://openalex.org/keywords/land-cover","display_name":"Land cover","score":0.7043919563293457},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.38046982884407043},{"id":"https://openalex.org/keywords/land-use","display_name":"Land use","score":0.3794410526752472},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.3183465003967285}],"concepts":[{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.7403857707977295},{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.7043919563293457},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.38046982884407043},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.3794410526752472},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.3183465003967285},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2024.3465590","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3465590","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.4399999976158142}],"awards":[{"id":"https://openalex.org/G1731971599","display_name":null,"funder_award_id":"42161067","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W2093769555","https://openalex.org/W2148022840","https://openalex.org/W2904606389","https://openalex.org/W2920254659","https://openalex.org/W2943472941","https://openalex.org/W2943942975","https://openalex.org/W2976120863","https://openalex.org/W2982411422","https://openalex.org/W2990251052","https://openalex.org/W2999043413","https://openalex.org/W3000358529","https://openalex.org/W3006472315","https://openalex.org/W3045755298","https://openalex.org/W3048631361","https://openalex.org/W3083943075","https://openalex.org/W3090679658","https://openalex.org/W3127347439","https://openalex.org/W3157151862","https://openalex.org/W3185487988","https://openalex.org/W3188524028","https://openalex.org/W3198644317","https://openalex.org/W3209553145","https://openalex.org/W3210940126","https://openalex.org/W4226441847","https://openalex.org/W4283690132","https://openalex.org/W4283704444","https://openalex.org/W4292977286","https://openalex.org/W4306175197","https://openalex.org/W4320522708","https://openalex.org/W4365454300","https://openalex.org/W4366609679","https://openalex.org/W4385469601","https://openalex.org/W4389912934","https://openalex.org/W4390379194","https://openalex.org/W4391576859","https://openalex.org/W4392350037","https://openalex.org/W4392644821","https://openalex.org/W4392761979","https://openalex.org/W4392900447","https://openalex.org/W4393152055","https://openalex.org/W4393990212","https://openalex.org/W4395449736"],"related_works":["https://openalex.org/W1537861260","https://openalex.org/W3133615129","https://openalex.org/W2087854757","https://openalex.org/W2188959887","https://openalex.org/W2373152553","https://openalex.org/W4389201442","https://openalex.org/W2386169820","https://openalex.org/W604251607","https://openalex.org/W3170595163","https://openalex.org/W2156540855"],"abstract_inverted_index":{"Yunnan":[0,180],"Province":[1],"is":[2,164],"one":[3],"of":[4,18,39,44,77,87,91,98,107,136,152,177,191],"the":[5,12,19,75,85,96,105,126,133,143,161,174,189,201,213,218],"global":[6,223],"biodiversity":[7,246],"conservation":[8,247],"hotspots.":[9],"Due":[10],"to":[11,73,155,221],"fragmented":[13],"terrain":[14],"and":[15,41,59,115,170,182,194,211,240],"spatial":[16,78,175],"heterogeneity":[17,79,226],"plateau,":[20],"land":[21],"cover":[22],"(LC)":[23],"mapping":[24],"in":[25,80,179,185,236],"this":[26,33],"region":[27],"has":[28],"always":[29],"been":[30],"challenging.":[31],"In":[32],"study,":[34],"we":[35,94],"integrated":[36],"1593":[37],"scenes":[38,43],"Sentinel-1":[40],"8320":[42],"Sentinel-2":[45],"(S2)":[46],"imagery,":[47],"proposed":[48],"a":[49,61,69,165,231],"sample":[50,116,186,203],"data":[51,243],"generation":[52],"strategy":[53],"based":[54],"on":[55,118],"domain":[56],"information":[57],"rules,":[58],"developed":[60],"two-step":[62,127],"feature":[63,128],"optimization":[64,129],"method.":[65],"We":[66,103],"also":[67],"constructed":[68],"tile-based":[70,214],"classification":[71,134,215,235],"model":[72,216],"mitigate":[74],"impact":[76,106],"plateau":[81,238],"regions.":[82],"By":[83],"comparing":[84],"performance":[86],"45":[88],"different":[89],"combinations":[90],"predictive":[92,100,108],"variables,":[93],"analyzed":[95],"effectiveness":[97],"high-dimensional":[99],"variable":[101,109],"optimization.":[102],"evaluated":[104],"sets,":[110],"sensor":[111],"types,":[112],"classifier":[113],"algorithms,":[114],"thresholds":[117,187],"LC":[119,178],"mapping.":[120],"The":[121],"results":[122],"indicate":[123],"that:":[124],"1)":[125],"method":[130],"can":[131],"improve":[132],"accuracy":[135,146,207],"machine":[137],"learning":[138],"(ML).":[139],"With":[140],"optimal":[141,202],"features,":[142],"model\u2019s":[144],"overall":[145],"(OA)":[147],"reached":[148],"92.21%,":[149],"an":[150],"increase":[151],"0.64%\u20138.16%":[153],"compared":[154,220],"using":[156],"raw":[157],"features":[158],"alone;":[159],"2)":[160],"near-infrared":[162],"band":[163],"highly":[166],"effective":[167],"spectral":[168],"predictor":[169],"slope":[171],"significantly":[172],"impacts":[173],"distribution":[176],"Province;":[181],"3)":[183],"changes":[184],"affect":[188],"stability":[190],"prediction":[192,206],"models":[193],"fivefold":[195],"cross":[196],"validation":[197],"shows":[198],"that":[199],"under":[200],"threshold":[204],"scenario,":[205],"improves":[208],"by":[209],"0.95%\u20132.76%;":[210],"4)":[212],"reduces":[217],"errors":[219],"traditional":[222],"models,":[224],"mitigating":[225],"effects.":[227],"This":[228],"study":[229],"provides":[230],"new":[232],"approach":[233],"for":[234,245],"heterogeneous":[237],"regions":[239],"offers":[241],"valuable":[242],"support":[244],"efforts.":[248]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
