{"id":"https://openalex.org/W4393162620","doi":"https://doi.org/10.3390/rs16071137","title":"Inversion of Boreal Forest Height Using the CRITIC Weighted Least Squares Three-Stage Temporal Decorrelation Iterative Algorithm","display_name":"Inversion of Boreal Forest Height Using the CRITIC Weighted Least Squares Three-Stage Temporal Decorrelation Iterative Algorithm","publication_year":2024,"publication_date":"2024-03-25","ids":{"openalex":"https://openalex.org/W4393162620","doi":"https://doi.org/10.3390/rs16071137"},"language":"en","primary_location":{"id":"doi:10.3390/rs16071137","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16071137","pdf_url":"https://www.mdpi.com/2072-4292/16/7/1137/pdf?version=1711357761","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/2072-4292/16/7/1137/pdf?version=1711357761","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5050804727","display_name":"Ao Sui","orcid":"https://orcid.org/0000-0002-0947-2157"},"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":"Ao Sui","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":1,"institutions_distinct_count":2,"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":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04504931,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"16","issue":"7","first_page":"1137","last_page":"1137"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9979000091552734,"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":0.9979000091552734,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9951000213623047,"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/T10535","display_name":"Landslides and related hazards","score":0.9940000176429749,"subfield":{"id":"https://openalex.org/subfields/2308","display_name":"Management, Monitoring, Policy and Law"},"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/decorrelation","display_name":"Decorrelation","score":0.8191988468170166},{"id":"https://openalex.org/keywords/inversion","display_name":"Inversion (geology)","score":0.7292348146438599},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.5513019561767578},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4616130590438843},{"id":"https://openalex.org/keywords/stage","display_name":"Stage (stratigraphy)","score":0.44646477699279785},{"id":"https://openalex.org/keywords/inverse-transform-sampling","display_name":"Inverse transform sampling","score":0.4108608365058899},{"id":"https://openalex.org/keywords/geodesy","display_name":"Geodesy","score":0.39311879873275757},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.385827898979187},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28090739250183105},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.21326592564582825},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.13352817296981812},{"id":"https://openalex.org/keywords/seismology","display_name":"Seismology","score":0.11373463273048401},{"id":"https://openalex.org/keywords/tectonics","display_name":"Tectonics","score":0.07434329390525818}],"concepts":[{"id":"https://openalex.org/C177860922","wikidata":"https://www.wikidata.org/wiki/Q788608","display_name":"Decorrelation","level":2,"score":0.8191988468170166},{"id":"https://openalex.org/C1893757","wikidata":"https://www.wikidata.org/wiki/Q3653001","display_name":"Inversion (geology)","level":3,"score":0.7292348146438599},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.5513019561767578},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4616130590438843},{"id":"https://openalex.org/C146357865","wikidata":"https://www.wikidata.org/wiki/Q1123245","display_name":"Stage (stratigraphy)","level":2,"score":0.44646477699279785},{"id":"https://openalex.org/C143606050","wikidata":"https://www.wikidata.org/wiki/Q1377019","display_name":"Inverse transform sampling","level":3,"score":0.4108608365058899},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.39311879873275757},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.385827898979187},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28090739250183105},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.21326592564582825},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.13352817296981812},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.11373463273048401},{"id":"https://openalex.org/C77928131","wikidata":"https://www.wikidata.org/wiki/Q193343","display_name":"Tectonics","level":2,"score":0.07434329390525818},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C2779345167","wikidata":"https://www.wikidata.org/wiki/Q104541","display_name":"Aerosol","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs16071137","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16071137","pdf_url":"https://www.mdpi.com/2072-4292/16/7/1137/pdf?version=1711357761","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:f108f8891c9f4953a76a2914d4dcfb29","is_oa":true,"landing_page_url":"https://doaj.org/article/f108f8891c9f4953a76a2914d4dcfb29","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 7, p 1137 (2024)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/16/7/1137/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs16071137","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","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs16071137","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16071137","pdf_url":"https://www.mdpi.com/2072-4292/16/7/1137/pdf?version=1711357761","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":0.4399999976158142,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"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":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4393162620.pdf"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W329296823","https://openalex.org/W1495847551","https://openalex.org/W1538058927","https://openalex.org/W1948371848","https://openalex.org/W1973681195","https://openalex.org/W1974980069","https://openalex.org/W1979623213","https://openalex.org/W2008542193","https://openalex.org/W2044987471","https://openalex.org/W2045015803","https://openalex.org/W2066495914","https://openalex.org/W2074258437","https://openalex.org/W2087352507","https://openalex.org/W2110512745","https://openalex.org/W2111449514","https://openalex.org/W2113249705","https://openalex.org/W2115694560","https://openalex.org/W2122962067","https://openalex.org/W2141414687","https://openalex.org/W2151628934","https://openalex.org/W2156481277","https://openalex.org/W2320803233","https://openalex.org/W2606986252","https://openalex.org/W2615559805","https://openalex.org/W2781931613","https://openalex.org/W2794522866","https://openalex.org/W2885714230","https://openalex.org/W2905442578","https://openalex.org/W3192946819","https://openalex.org/W3210146873","https://openalex.org/W4322503013","https://openalex.org/W4327949224","https://openalex.org/W4383909685","https://openalex.org/W4389136271","https://openalex.org/W4391508893","https://openalex.org/W6644122501","https://openalex.org/W6661661529","https://openalex.org/W6676654318","https://openalex.org/W6678431570","https://openalex.org/W6737818894"],"related_works":["https://openalex.org/W2044527509","https://openalex.org/W3151319332","https://openalex.org/W3093557447","https://openalex.org/W2377084220","https://openalex.org/W4293147659","https://openalex.org/W2378498423","https://openalex.org/W1981223537","https://openalex.org/W4308342250","https://openalex.org/W2390674751","https://openalex.org/W4285327398"],"abstract_inverted_index":{"The":[0,128,141,160,197,229,268,288],"inversion":[1,48,274],"of":[2,38,78,95,114,125,180,189,238,265],"forest":[3,29,96,195,204,227,266],"height":[4,35,205],"using":[5,147],"the":[6,27,34,39,45,53,66,75,87,93,112,115,121,166,172,178,187,190,233,245,258,263,271,283,297,313],"RVoG":[7,46],"(Random":[8],"Volume":[9],"over":[10],"Ground)":[11],"model":[12],"is":[13,108,131,144,248,292,302,308],"susceptible":[14],"to":[15,20,26,74,85,135,250,311],"overestimation":[16],"or":[17],"underestimation":[18],"due":[19],"three":[21],"error":[22,216,300],"sources,":[23],"propagating":[24],"inaccuracies":[25],"estimated":[28],"height.":[30,196,267],"Furthermore,":[31],"variations":[32],"in":[33,118,236,240,261,281,315],"and":[36,91,133,138,158,221,285,296,333],"density":[37],"scenario":[40],"could":[41],"impact":[42],"how":[43],"well":[44],"three-stage":[47,80,191],"performs.":[49],"This":[50,82],"work":[51],"utilizes":[52],"L-band":[54],"single-baseline":[55],"full":[56],"polarization":[57],"interferometric":[58],"dataset":[59],"as":[60],"its":[61],"basis.":[62],"It":[63],"optimally":[64],"applies":[65],"CRITIC":[67,100],"(Criteria":[68],"Importance":[69],"Through":[70],"Intercriteria":[71],"Correlation)":[72],"method":[73,176],"first":[76,145],"stage":[77],"a":[79,212,322,327],"process.":[81],"approach":[83,130,143,192,247],"aims":[84],"overcome":[86],"issues":[88],"mentioned":[89],"above":[90],"enhance":[92],"accuracy":[94,179,188,239,278],"parameter":[97],"estimation.":[98,243],"A":[99],"weighted":[101,173],"least":[102,174],"squares":[103,175],"temporal":[104,122,316,324],"decoherence":[105,123,317],"iterative":[106],"algorithm":[107,124,231,260],"also":[109],"proposed":[110,129],"for":[111,193,202],"characteristics":[113],"spaceborne":[116,252],"data,":[117,253],"combination":[119],"with":[120,155,211,225],"previous":[126],"research.":[127],"tested":[132],"applied":[134,249],"both":[136,282],"simulated":[137,149],"actual":[139],"data.":[140],"optimization":[142],"assessed":[146],"four":[148],"datasets":[150],"that":[151,164,310],"simulate":[152],"coniferous":[153],"forests":[154],"different":[156],"densities":[157],"heights.":[159],"preliminary":[161],"findings":[162,269],"suggest":[163],"optimizing":[165],"complex":[167],"coherence":[168],"fitting":[169],"process":[170],"through":[171],"enhances":[177],"ground":[181,198,241],"phase":[182,199,242,334],"estimation":[183,200],"and,":[184],"consequently,":[185],"improves":[186],"inverting":[194],"results":[201],"low":[203],"consistently":[206],"remained":[207],"within":[208,303],"0.02":[209],"rad,":[210,220],"root":[213],"mean":[214,298],"square":[215],"(RMSE)":[217],"below":[218],"0.05":[219],"no":[222],"saturation":[223],"occurred":[224],"increasing":[226],"density.":[228],"enhanced":[230],"outperforms":[232],"traditional":[234],"technique":[235],"terms":[237],"Subsequently,":[244],"optimized":[246],"ALOS-2":[251],"proving":[254],"more":[255],"successful":[256],"than":[257],"conventional":[259],"reducing":[262],"RMSE":[264,291],"illustrate":[270],"method\u2019s":[272],"superior":[273],"performance,":[275],"obtaining":[276],"an":[277],"exceeding":[279],"80%":[280],"test":[284],"validation":[286,289],"sets.":[287],"set\u2019s":[290],"approximately":[293],"2.5":[294],"m,":[295],"absolute":[299],"(MAE)":[301],"2":[304],"m.":[305],"Moreover,":[306],"it":[307],"observed":[309],"counteract":[312],"uncertainty":[314],"induced":[318],"by":[319],"climate":[320],"change,":[321],"larger":[323,328],"baseline":[325],"necessitates":[326],"random":[329],"motion":[330],"compensation":[331],"term":[332],"offset":[335],"term.":[336]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
