{"id":"https://openalex.org/W4321234726","doi":"https://doi.org/10.3390/rs15041096","title":"A Proposed Ensemble Feature Selection Method for Estimating Forest Aboveground Biomass from Multiple Satellite Data","display_name":"A Proposed Ensemble Feature Selection Method for Estimating Forest Aboveground Biomass from Multiple Satellite Data","publication_year":2023,"publication_date":"2023-02-17","ids":{"openalex":"https://openalex.org/W4321234726","doi":"https://doi.org/10.3390/rs15041096"},"language":"en","primary_location":{"id":"doi:10.3390/rs15041096","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15041096","pdf_url":"https://www.mdpi.com/2072-4292/15/4/1096/pdf?version=1676617757","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/2072-4292/15/4/1096/pdf?version=1676617757","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100721873","display_name":"Yuzhen Zhang","orcid":"https://orcid.org/0000-0003-1613-5770"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuzhen Zhang","raw_affiliation_strings":["Beijing Engineering Research Center of Industrial Spectrum Imaging, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China"],"affiliations":[{"raw_affiliation_string":"Beijing Engineering Research Center of Industrial Spectrum Imaging, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012650259","display_name":"Jingjing Liu","orcid":"https://orcid.org/0000-0001-6932-3877"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingjing Liu","raw_affiliation_strings":["Beijing Engineering Research Center of Industrial Spectrum Imaging, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China"],"affiliations":[{"raw_affiliation_string":"Beijing Engineering Research Center of Industrial Spectrum Imaging, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100362643","display_name":"Wenhao Li","orcid":"https://orcid.org/0009-0008-9144-8682"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenhao Li","raw_affiliation_strings":["Beijing Engineering Research Center of Industrial Spectrum Imaging, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China"],"affiliations":[{"raw_affiliation_string":"Beijing Engineering Research Center of Industrial Spectrum Imaging, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054276054","display_name":"Shunlin Liang","orcid":"https://orcid.org/0000-0003-2708-9183"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Shunlin Liang","raw_affiliation_strings":["Department of Geography, The University of Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Geography, The University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I889458895"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100721873"],"corresponding_institution_ids":["https://openalex.org/I92403157"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":3.1608,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.91623277,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"15","issue":"4","first_page":"1096","last_page":"1096"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9976999759674072,"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/T11880","display_name":"Forest ecology and management","score":0.9937999844551086,"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/feature-selection","display_name":"Feature selection","score":0.572819173336029},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5431801676750183},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.477022647857666},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.47374022006988525},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.47259411215782166},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.4670119881629944},{"id":"https://openalex.org/keywords/synthetic-aperture-radar","display_name":"Synthetic aperture radar","score":0.45457810163497925},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.43888524174690247},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.42735961079597473},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24402013421058655},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.23741498589515686},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21345388889312744},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.12096899747848511},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1142219603061676}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.572819173336029},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5431801676750183},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.477022647857666},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47374022006988525},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.47259411215782166},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.4670119881629944},{"id":"https://openalex.org/C87360688","wikidata":"https://www.wikidata.org/wiki/Q740686","display_name":"Synthetic aperture radar","level":2,"score":0.45457810163497925},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.43888524174690247},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.42735961079597473},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24402013421058655},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.23741498589515686},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21345388889312744},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.12096899747848511},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1142219603061676},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/rs15041096","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15041096","pdf_url":"https://www.mdpi.com/2072-4292/15/4/1096/pdf?version=1676617757","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:866a7ec9aecb41e28fcca35468249ccf","is_oa":true,"landing_page_url":"https://doaj.org/article/866a7ec9aecb41e28fcca35468249ccf","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 4, p 1096 (2023)","raw_type":"article"},{"id":"pmh:oai:hub.hku.hk:10722/366277","is_oa":true,"landing_page_url":"http://hdl.handle.net/10722/366277","pdf_url":null,"source":{"id":"https://openalex.org/S4377196271","display_name":"The HKU Scholars Hub (University of Hong Kong)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I889458895","host_organization_name":"University of Hong Kong","host_organization_lineage":["https://openalex.org/I889458895"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"pmh:oai:mdpi.com:/2072-4292/15/4/1096/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs15041096","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/rs15041096","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15041096","pdf_url":"https://www.mdpi.com/2072-4292/15/4/1096/pdf?version=1676617757","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":0.6200000047683716}],"awards":[{"id":"https://openalex.org/G1329847007","display_name":null,"funder_award_id":"41801347","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2544741808","display_name":null,"funder_award_id":"2018YFC1407103","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/W4321234726.pdf"},"referenced_works_count":145,"referenced_works":["https://openalex.org/W1180442272","https://openalex.org/W1500895378","https://openalex.org/W1587618649","https://openalex.org/W1964217023","https://openalex.org/W1970032027","https://openalex.org/W1978642993","https://openalex.org/W1980058571","https://openalex.org/W1981213426","https://openalex.org/W1981263865","https://openalex.org/W1989540221","https://openalex.org/W1991933965","https://openalex.org/W1994508789","https://openalex.org/W1998166444","https://openalex.org/W2002730835","https://openalex.org/W2006429183","https://openalex.org/W2008137195","https://openalex.org/W2008674189","https://openalex.org/W2008675039","https://openalex.org/W2012519352","https://openalex.org/W2014187500","https://openalex.org/W2018627383","https://openalex.org/W2020520344","https://openalex.org/W2025014197","https://openalex.org/W2031600437","https://openalex.org/W2035519366","https://openalex.org/W2039240409","https://openalex.org/W2044465660","https://openalex.org/W2052402549","https://openalex.org/W2056968878","https://openalex.org/W2063450173","https://openalex.org/W2067983477","https://openalex.org/W2069928051","https://openalex.org/W2077566028","https://openalex.org/W2078841663","https://openalex.org/W2081300648","https://openalex.org/W2082290707","https://openalex.org/W2083805427","https://openalex.org/W2093540905","https://openalex.org/W2093906232","https://openalex.org/W2097993678","https://openalex.org/W2101748122","https://openalex.org/W2105770001","https://openalex.org/W2109631166","https://openalex.org/W2113410727","https://openalex.org/W2119387367","https://openalex.org/W2119862467","https://openalex.org/W2121028877","https://openalex.org/W2126099406","https://openalex.org/W2127227873","https://openalex.org/W2127237921","https://openalex.org/W2128473925","https://openalex.org/W2137875032","https://openalex.org/W2140477672","https://openalex.org/W2143043751","https://openalex.org/W2143426320","https://openalex.org/W2145406450","https://openalex.org/W2147685662","https://openalex.org/W2148711476","https://openalex.org/W2149772057","https://openalex.org/W2153891055","https://openalex.org/W2154053567","https://openalex.org/W2156665896","https://openalex.org/W2159334193","https://openalex.org/W2161477252","https://openalex.org/W2167101736","https://openalex.org/W2169103225","https://openalex.org/W2186971345","https://openalex.org/W2261059368","https://openalex.org/W2266591399","https://openalex.org/W2287654067","https://openalex.org/W2296479879","https://openalex.org/W2411237118","https://openalex.org/W2411885377","https://openalex.org/W2423504524","https://openalex.org/W2488702363","https://openalex.org/W2516938563","https://openalex.org/W2530623388","https://openalex.org/W2537043687","https://openalex.org/W2606926586","https://openalex.org/W2725897987","https://openalex.org/W2726525805","https://openalex.org/W2736734076","https://openalex.org/W2738603921","https://openalex.org/W2756157229","https://openalex.org/W2765937321","https://openalex.org/W2766438525","https://openalex.org/W2770654566","https://openalex.org/W2772032254","https://openalex.org/W2791315675","https://openalex.org/W2801032191","https://openalex.org/W2804871356","https://openalex.org/W2804933989","https://openalex.org/W2883666593","https://openalex.org/W2885601213","https://openalex.org/W2887278708","https://openalex.org/W2901085573","https://openalex.org/W2901914797","https://openalex.org/W2911964244","https://openalex.org/W2914484644","https://openalex.org/W2920930972","https://openalex.org/W2928048063","https://openalex.org/W2936032092","https://openalex.org/W2949924276","https://openalex.org/W2964849839","https://openalex.org/W2968867485","https://openalex.org/W2989983865","https://openalex.org/W2990882407","https://openalex.org/W2990923659","https://openalex.org/W2997047947","https://openalex.org/W2998216295","https://openalex.org/W3006156873","https://openalex.org/W3007045993","https://openalex.org/W3014417423","https://openalex.org/W3015981573","https://openalex.org/W3020699323","https://openalex.org/W3028846249","https://openalex.org/W3034167140","https://openalex.org/W3048463302","https://openalex.org/W3082766779","https://openalex.org/W3088919884","https://openalex.org/W3094435799","https://openalex.org/W3099723433","https://openalex.org/W3112661396","https://openalex.org/W3124055002","https://openalex.org/W3126808499","https://openalex.org/W3130219998","https://openalex.org/W3170484221","https://openalex.org/W3172773436","https://openalex.org/W3179206166","https://openalex.org/W3194240371","https://openalex.org/W4282569215","https://openalex.org/W4293526428","https://openalex.org/W4299478690","https://openalex.org/W6605866200","https://openalex.org/W6636950212","https://openalex.org/W6655012520","https://openalex.org/W6681472441","https://openalex.org/W6681669784","https://openalex.org/W6686947262","https://openalex.org/W6733692256","https://openalex.org/W6765911487","https://openalex.org/W6770851722","https://openalex.org/W6773939066","https://openalex.org/W6785152439","https://openalex.org/W7066667914"],"related_works":["https://openalex.org/W4385626050","https://openalex.org/W3010533647","https://openalex.org/W1492832708","https://openalex.org/W4313117492","https://openalex.org/W4206572963","https://openalex.org/W4286489760","https://openalex.org/W4302307687","https://openalex.org/W4285055058","https://openalex.org/W3127604540","https://openalex.org/W4293152758"],"abstract_inverted_index":{"Feature":[0],"selection":[1],"(FS)":[2],"can":[3,44],"increase":[4],"the":[5,22,39,74,87,104,118,126,134,137,143,146,220,232,271],"accuracy":[6,89,212],"of":[7,24,56,76,106,122,145,168,213,222,274],"forest":[8,46,131,169,214],"aboveground":[9],"biomass":[10],"(AGB)":[11],"prediction":[12,167,211],"from":[13,58,277],"multiple":[14],"satellite":[15,279],"data":[16],"and":[17,67,69,72,85,130,133,196],"identify":[18,219],"important":[19],"predictors,":[20],"but":[21,216,244],"role":[23],"FS":[25,43,79,98,109,124,174,261],"in":[26,81,267],"AGB":[27,47,153,170,251],"estimation":[28,88],"has":[29],"not":[30,218,237],"received":[31],"sufficient":[32],"attention.":[33],"Here,":[34],"we":[35,52],"aimed":[36],"to":[37,41,113,226,259],"quantify":[38],"degree":[40],"which":[42,224,263],"benefit":[45],"prediction.":[48,252],"To":[49],"this":[50],"end,":[51],"extracted":[53],"a":[54,164,227,256],"series":[55],"features":[57,84,129,160,241],"Landsat,":[59],"Phased":[60],"Array":[61],"L-band":[62],"Synthetic":[63],"Aperture":[64],"Radar":[65],"(PALSAR),":[66],"climatic":[68],"topographical":[70],"information,":[71],"evaluated":[73],"performance":[75,144],"four":[77],"state-of-the-art":[78,173],"methods":[80],"selecting":[82],"predictive":[83],"improving":[86],"with":[90,111,176],"selected":[91,138,159,240],"features.":[92,139],"We":[93,140],"then":[94],"proposed":[95,147,233],"an":[96,107],"ensemble":[97,149],"method":[99,151],"that":[100,158,248],"takes":[101],"inro":[102],"account":[103],"stability":[105],"individual":[108],"algorithm":[110],"respect":[112],"different":[114,123],"training":[115],"datasets":[116],"used;":[117],"heterogeneity":[119],"or":[120],"diversity":[121],"methods;":[125],"correlations":[127],"between":[128,136],"AGB;":[132],"multicollinearity":[135],"further":[141],"investigated":[142],"stability-heterogeneity-correlation-based":[148],"(SHCE)":[150],"for":[152],"estimation.":[154],"The":[155],"results":[156],"showed":[157],"by":[161,242],"SHCE":[162,234,236,254],"provided":[163,245],"more":[165],"accurate":[166,250],"than":[171,231],"existing":[172],"methods,":[175],"R2":[177],"=":[178,183,190,198],"0.66":[179],"\u00b1":[180,185,192,200],"0.01,":[181],"RMSE":[182],"14.35":[184],"0.12":[186],"Mg":[187,194,202],"ha\u22121,":[188,195],"MAE":[189],"9.34":[191],"0.09":[193],"bias":[197,230],"1.67":[199],"0.11":[201],"ha\u22121":[203],"at":[204],"90":[205],"m":[206],"resolution.":[207],"Boruta":[208],"yielded":[209],"comparable":[210],"AGB,":[215],"could":[217],"importance":[221,243],"features,":[223],"led":[225],"slightly":[228],"greater":[229],"method.":[235],"only":[238],"ranked":[239],"feature":[246],"subsets":[247],"enabled":[249],"Moreover,":[253],"provides":[255],"flexible":[257],"framework":[258],"combine":[260],"results,":[262],"will":[264],"be":[265],"crucial":[266],"many":[268],"scenarios,":[269],"particularly":[270],"wide-area":[272],"mapping":[273],"land-surface":[275],"parameters":[276],"various":[278],"datasets.":[280]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":6}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}