{"id":"https://openalex.org/W4399803509","doi":"https://doi.org/10.3390/rs16122229","title":"Inversion of Forest Aboveground Biomass in Regions with Complex Terrain Based on PolSAR Data and a Machine Learning Model: Radiometric Terrain Correction Assessment","display_name":"Inversion of Forest Aboveground Biomass in Regions with Complex Terrain Based on PolSAR Data and a Machine Learning Model: Radiometric Terrain Correction Assessment","publication_year":2024,"publication_date":"2024-06-19","ids":{"openalex":"https://openalex.org/W4399803509","doi":"https://doi.org/10.3390/rs16122229"},"language":"en","primary_location":{"id":"doi:10.3390/rs16122229","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16122229","pdf_url":"https://www.mdpi.com/2072-4292/16/12/2229/pdf?version=1718803252","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/2072-4292/16/12/2229/pdf?version=1718803252","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018363883","display_name":"Yonghui Nie","orcid":"https://orcid.org/0009-0001-6013-5658"},"institutions":[{"id":"https://openalex.org/I47689461","display_name":"Northeast Forestry University","ror":"https://ror.org/02yxnh564","country_code":"CN","type":"education","lineage":["https://openalex.org/I47689461"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yonghui Nie","raw_affiliation_strings":["Key Laboratory of Sustainable Forest Ecosystem Management (Ministry of Education), School of Forestry, Northeast Forestry University, Harbin 150040, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Sustainable Forest Ecosystem Management (Ministry of Education), School of Forestry, Northeast Forestry University, Harbin 150040, China","institution_ids":["https://openalex.org/I47689461"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055535437","display_name":"Rula Sa","orcid":null},"institutions":[{"id":"https://openalex.org/I47689461","display_name":"Northeast Forestry University","ror":"https://ror.org/02yxnh564","country_code":"CN","type":"education","lineage":["https://openalex.org/I47689461"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rula Sa","raw_affiliation_strings":["Key Laboratory of Sustainable Forest Ecosystem Management (Ministry of Education), School of Forestry, Northeast Forestry University, Harbin 150040, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Sustainable Forest Ecosystem Management (Ministry of Education), School of Forestry, Northeast Forestry University, Harbin 150040, China","institution_ids":["https://openalex.org/I47689461"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062948790","display_name":"\u0421. \u0418. \u0427\u0443\u043c\u0430\u0447\u0435\u043d\u043a\u043e","orcid":"https://orcid.org/0000-0002-9766-3083"},"institutions":[{"id":"https://openalex.org/I177537411","display_name":"Bauman Moscow State Technical University","ror":"https://ror.org/00pb8h375","country_code":"RU","type":"education","lineage":["https://openalex.org/I177537411"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Sergey Chumachenko","raw_affiliation_strings":["Head of Department of Forest Management, GIS of Bauman Moscow State Technical University, 2-Ya Baumanskaya Ulitsa, 5c1, Moscow 105005, Russia"],"affiliations":[{"raw_affiliation_string":"Head of Department of Forest Management, GIS of Bauman Moscow State Technical University, 2-Ya Baumanskaya Ulitsa, 5c1, Moscow 105005, Russia","institution_ids":["https://openalex.org/I177537411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041184605","display_name":"Yifan Hu","orcid":"https://orcid.org/0000-0003-2620-352X"},"institutions":[{"id":"https://openalex.org/I47689461","display_name":"Northeast Forestry University","ror":"https://ror.org/02yxnh564","country_code":"CN","type":"education","lineage":["https://openalex.org/I47689461"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifan Hu","raw_affiliation_strings":["Key Laboratory of Sustainable Forest Ecosystem Management (Ministry of Education), School of Forestry, Northeast Forestry University, Harbin 150040, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Sustainable Forest Ecosystem Management (Ministry of Education), School of Forestry, Northeast Forestry University, Harbin 150040, China","institution_ids":["https://openalex.org/I47689461"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057858689","display_name":"Youzhu Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I47689461","display_name":"Northeast Forestry University","ror":"https://ror.org/02yxnh564","country_code":"CN","type":"education","lineage":["https://openalex.org/I47689461"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Youzhu Wang","raw_affiliation_strings":["Key Laboratory of Sustainable Forest Ecosystem Management (Ministry of Education), School of Forestry, Northeast Forestry University, Harbin 150040, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Sustainable Forest Ecosystem Management (Ministry of Education), School of Forestry, Northeast Forestry University, Harbin 150040, China","institution_ids":["https://openalex.org/I47689461"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100380551","display_name":"Wenyi Fan","orcid":"https://orcid.org/0000-0003-0626-2020"},"institutions":[{"id":"https://openalex.org/I47689461","display_name":"Northeast Forestry University","ror":"https://ror.org/02yxnh564","country_code":"CN","type":"education","lineage":["https://openalex.org/I47689461"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenyi Fan","raw_affiliation_strings":["Key Laboratory of Sustainable Forest Ecosystem Management (Ministry of Education), School of Forestry, Northeast Forestry University, Harbin 150040, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Sustainable Forest Ecosystem Management (Ministry of Education), School of Forestry, Northeast Forestry University, Harbin 150040, China","institution_ids":["https://openalex.org/I47689461"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100380551"],"corresponding_institution_ids":["https://openalex.org/I47689461"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":0.808,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.68047116,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"16","issue":"12","first_page":"2229","last_page":"2229"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9514999985694885,"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"}},"topics":[{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9514999985694885,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/terrain","display_name":"Terrain","score":0.8087611198425293},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.6856985092163086},{"id":"https://openalex.org/keywords/inversion","display_name":"Inversion (geology)","score":0.6318638324737549},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.4515789747238159},{"id":"https://openalex.org/keywords/radiometric-dating","display_name":"Radiometric dating","score":0.4244828224182129},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.15439391136169434},{"id":"https://openalex.org/keywords/geomorphology","display_name":"Geomorphology","score":0.14373061060905457},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10951867699623108}],"concepts":[{"id":"https://openalex.org/C161840515","wikidata":"https://www.wikidata.org/wiki/Q186131","display_name":"Terrain","level":2,"score":0.8087611198425293},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.6856985092163086},{"id":"https://openalex.org/C1893757","wikidata":"https://www.wikidata.org/wiki/Q3653001","display_name":"Inversion (geology)","level":3,"score":0.6318638324737549},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.4515789747238159},{"id":"https://openalex.org/C170187044","wikidata":"https://www.wikidata.org/wiki/Q214753","display_name":"Radiometric dating","level":2,"score":0.4244828224182129},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.15439391136169434},{"id":"https://openalex.org/C114793014","wikidata":"https://www.wikidata.org/wiki/Q52109","display_name":"Geomorphology","level":1,"score":0.14373061060905457},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10951867699623108},{"id":"https://openalex.org/C109007969","wikidata":"https://www.wikidata.org/wiki/Q749565","display_name":"Structural basin","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/rs16122229","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16122229","pdf_url":"https://www.mdpi.com/2072-4292/16/12/2229/pdf?version=1718803252","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:93edfb131fa647fda43d70640892a51b","is_oa":true,"landing_page_url":"https://doaj.org/article/93edfb131fa647fda43d70640892a51b","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 16, Iss 12, p 2229 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/rs16122229","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16122229","pdf_url":"https://www.mdpi.com/2072-4292/16/12/2229/pdf?version=1718803252","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":0.6399999856948853,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"}],"awards":[{"id":"https://openalex.org/G1982099154","display_name":null,"funder_award_id":"31971654","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3849302014","display_name":null,"funder_award_id":"D040114","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/W4399803509.pdf"},"referenced_works_count":100,"referenced_works":["https://openalex.org/W1955312676","https://openalex.org/W1964456265","https://openalex.org/W1969674753","https://openalex.org/W1970450597","https://openalex.org/W1978608405","https://openalex.org/W1978642993","https://openalex.org/W1989540221","https://openalex.org/W2006246395","https://openalex.org/W2008826820","https://openalex.org/W2012519352","https://openalex.org/W2020520344","https://openalex.org/W2048346860","https://openalex.org/W2054581021","https://openalex.org/W2059967386","https://openalex.org/W2063826781","https://openalex.org/W2067612937","https://openalex.org/W2067947697","https://openalex.org/W2079299474","https://openalex.org/W2097272115","https://openalex.org/W2099484845","https://openalex.org/W2101165098","https://openalex.org/W2101748122","https://openalex.org/W2105003905","https://openalex.org/W2106259126","https://openalex.org/W2109631166","https://openalex.org/W2113249705","https://openalex.org/W2116319373","https://openalex.org/W2133989913","https://openalex.org/W2139824394","https://openalex.org/W2141424348","https://openalex.org/W2144896701","https://openalex.org/W2146611454","https://openalex.org/W2148610126","https://openalex.org/W2156374693","https://openalex.org/W2156665896","https://openalex.org/W2163642873","https://openalex.org/W2167101736","https://openalex.org/W2167909552","https://openalex.org/W2170481611","https://openalex.org/W2320803233","https://openalex.org/W2477329269","https://openalex.org/W2499345884","https://openalex.org/W2550999023","https://openalex.org/W2589611909","https://openalex.org/W2596193588","https://openalex.org/W2596636264","https://openalex.org/W2756157229","https://openalex.org/W2777772327","https://openalex.org/W2789665835","https://openalex.org/W2791315675","https://openalex.org/W2801958376","https://openalex.org/W2891772707","https://openalex.org/W2901843700","https://openalex.org/W2905442578","https://openalex.org/W2924764611","https://openalex.org/W2950674916","https://openalex.org/W2962036864","https://openalex.org/W2965977570","https://openalex.org/W2966381923","https://openalex.org/W2971653617","https://openalex.org/W2990294132","https://openalex.org/W3029374488","https://openalex.org/W3034053233","https://openalex.org/W3034252022","https://openalex.org/W3037944168","https://openalex.org/W3046875372","https://openalex.org/W3080970975","https://openalex.org/W3094915136","https://openalex.org/W3112661396","https://openalex.org/W3130219998","https://openalex.org/W3150871672","https://openalex.org/W3208009433","https://openalex.org/W4210380056","https://openalex.org/W4213207022","https://openalex.org/W4220824816","https://openalex.org/W4220981441","https://openalex.org/W4225473286","https://openalex.org/W4229074172","https://openalex.org/W4282823491","https://openalex.org/W4283729582","https://openalex.org/W4289236186","https://openalex.org/W4295886337","https://openalex.org/W4307097559","https://openalex.org/W4321234726","https://openalex.org/W4365517154","https://openalex.org/W4376142522","https://openalex.org/W4378229303","https://openalex.org/W4379646175","https://openalex.org/W4382862888","https://openalex.org/W4388153170","https://openalex.org/W4388973873","https://openalex.org/W4390771619","https://openalex.org/W4392241927","https://openalex.org/W4392295578","https://openalex.org/W4392868394","https://openalex.org/W4393139649","https://openalex.org/W4393993546","https://openalex.org/W6778319717","https://openalex.org/W6851780900","https://openalex.org/W6852635370"],"related_works":["https://openalex.org/W3168892453","https://openalex.org/W2809904035","https://openalex.org/W2765905211","https://openalex.org/W2067219802","https://openalex.org/W1992962589","https://openalex.org/W3032871857","https://openalex.org/W2990823991","https://openalex.org/W4300936155","https://openalex.org/W1743191351","https://openalex.org/W3116252618"],"abstract_inverted_index":{"The":[0,181],"accurate":[1],"estimation":[2],"of":[3,22,58,62,76,81,87,96,163,169,177,200,223,228,250],"forest":[4,23,97,213],"aboveground":[5],"biomass":[6],"(AGB)":[7],"in":[8,56,93,165,252,258,287],"areas":[9],"with":[10,134,186],"complex":[11],"terrain":[12,41],"is":[13,246,290],"very":[14],"important":[15],"for":[16,45],"quantifying":[17],"the":[18,27,39,59,70,74,79,85,94,124,152,159,167,170,175,178,187,198,208,221,237,253,261,283,291],"carbon":[19,31],"sequestration":[20],"capacity":[21],"ecosystems":[24],"and":[25,54,69,84,127,130,151,161,174,195,211,220,236,271,278],"studying":[26],"regional":[28],"or":[29],"global":[30],"cycle.":[32],"In":[33,107,256],"our":[34],"previous":[35],"research,":[36],"we":[37],"proposed":[38],"radiometric":[40],"correction":[42,48],"(RTC)":[43],"process":[44],"introducing":[46],"normalized":[47],"factors,":[49],"which":[50],"has":[51],"strong":[52],"effectiveness":[53,160],"robustness":[55,162],"terms":[57],"backscattering":[60],"coefficient":[61,227],"polarimetric":[63],"synthetic":[64],"aperture":[65],"radar":[66],"(PolSAR)":[67],"data":[68,113,262],"monadic":[71],"model.":[72,106],"However,":[73],"impact":[75],"RTC":[77,125,164,190,192,254],"on":[78,100,111,218,234,242],"correctness":[80],"feature":[82,118,132,143,172],"extraction":[83],"performance":[86,176,222],"regression":[88,105,149,179,224,285,295],"models":[89,150,225,267],"requires":[90],"further":[91],"exploration":[92],"retrieval":[95],"AGB":[98,214],"based":[99,110],"a":[101,247,269],"machine":[102,147],"learning":[103,148],"multiple":[104],"this":[108,288],"study,":[109],"PolSAR":[112,171,201,209],"provided":[114],"by":[115,216,232,240],"ALOS-2,":[116],"117":[117],"variables":[119],"were":[120,138,155],"accurately":[121],"extracted":[122],"using":[123],"process,":[126],"then":[128],"Boruta":[129],"recursive":[131],"elimination":[133],"cross-validation":[135],"(RFECV)":[136],"algorithms":[137],"used":[139,156],"to":[140,157,275],"perform":[141],"multi-step":[142],"selection.":[144],"Finally,":[145],"10":[146],"Optuna":[153],"algorithm":[154],"evaluate":[158],"improving":[166],"quality":[168],"set":[173],"models.":[180],"results":[182],"revealed":[183],"that,":[184],"compared":[185],"situation":[188],"without":[189],"treatment,":[191],"can":[193],"effectively":[194],"robustly":[196],"improve":[197],"accuracy":[199],"features":[202,210],"(the":[203,226],"Pearson":[204],"correlation":[205],"R":[206],"between":[207],"measured":[212],"increased":[215,231],"0.26":[217],"average)":[219],"determination":[229],"R2":[230],"0.14":[233],"average,":[235],"rRMSE":[238,300],"decreased":[239],"4.20%":[241],"average),":[243],"but":[244],"there":[245],"certain":[248],"degree":[249],"overcorrection":[251],"process.":[255],"addition,":[257],"situations":[259],"where":[260],"exhibit":[263],"linear":[264,266,294],"relationships,":[265],"remain":[268],"powerful":[270],"practical":[272],"choice":[273],"due":[274],"their":[276],"efficient":[277],"stable":[279],"characteristics.":[280],"For":[281],"example,":[282],"optimal":[284],"model":[286,296],"study":[289],"Bayesian":[292],"Ridge":[293],"(R2":[297],"=":[298,301],"0.82,":[299],"18.06%).":[302]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}