{"id":"https://openalex.org/W3043213732","doi":"https://doi.org/10.1080/17538947.2020.1794064","title":"Machine learning methods\u2019 performance in radiative transfer model inversion to retrieve plant traits from Sentinel-2 data of a mixed mountain forest","display_name":"Machine learning methods\u2019 performance in radiative transfer model inversion to retrieve plant traits from Sentinel-2 data of a mixed mountain forest","publication_year":2020,"publication_date":"2020-07-15","ids":{"openalex":"https://openalex.org/W3043213732","doi":"https://doi.org/10.1080/17538947.2020.1794064","mag":"3043213732"},"language":"en","primary_location":{"id":"doi:10.1080/17538947.2020.1794064","is_oa":true,"landing_page_url":"https://doi.org/10.1080/17538947.2020.1794064","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/17538947.2020.1794064?needAccess=true","source":{"id":"https://openalex.org/S199162493","display_name":"International Journal of Digital Earth","issn_l":"1753-8947","issn":["1753-8947","1753-8955"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Digital Earth","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://www.tandfonline.com/doi/pdf/10.1080/17538947.2020.1794064?needAccess=true","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103059558","display_name":"Abebe Mohammed Ali","orcid":"https://orcid.org/0000-0002-3962-0333"},"institutions":[{"id":"https://openalex.org/I4210114501","display_name":"Wollo University","ror":"https://ror.org/01ktt8y73","country_code":"ET","type":"education","lineage":["https://openalex.org/I4210114501"]},{"id":"https://openalex.org/I94624287","display_name":"University of Twente","ror":"https://ror.org/006hf6230","country_code":"NL","type":"education","lineage":["https://openalex.org/I94624287"]}],"countries":["ET","NL"],"is_corresponding":true,"raw_author_name":"Abebe Mohammed Ali","raw_affiliation_strings":["Department of Geography and Environmental Studies, Wollo University, Dessie, Ethiopia","Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Department of Geography and Environmental Studies, Wollo University, Dessie, Ethiopia","institution_ids":["https://openalex.org/I4210114501"]},{"raw_affiliation_string":"Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede, The Netherlands","institution_ids":["https://openalex.org/I94624287"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047127960","display_name":"Roshanak Darvishzadeh","orcid":"https://orcid.org/0000-0001-7512-0574"},"institutions":[{"id":"https://openalex.org/I94624287","display_name":"University of Twente","ror":"https://ror.org/006hf6230","country_code":"NL","type":"education","lineage":["https://openalex.org/I94624287"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Roshanak Darvishzadeh","raw_affiliation_strings":["Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede, The Netherlands","institution_ids":["https://openalex.org/I94624287"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073807486","display_name":"Andrew K. Skidmore","orcid":"https://orcid.org/0000-0002-7446-8429"},"institutions":[{"id":"https://openalex.org/I94624287","display_name":"University of Twente","ror":"https://ror.org/006hf6230","country_code":"NL","type":"education","lineage":["https://openalex.org/I94624287"]},{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU","NL"],"is_corresponding":false,"raw_author_name":"Andrew Skidmore","raw_affiliation_strings":["Department of Environmental Science, Macquarie University, Sydney, Australia","Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Department of Environmental Science, Macquarie University, Sydney, Australia","institution_ids":["https://openalex.org/I99043593"]},{"raw_affiliation_string":"Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede, The Netherlands","institution_ids":["https://openalex.org/I94624287"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086695179","display_name":"Tawanda W. Gara","orcid":"https://orcid.org/0000-0001-8134-4849"},"institutions":[{"id":"https://openalex.org/I153455119","display_name":"University of Zimbabwe","ror":"https://ror.org/04ze6rb18","country_code":"ZW","type":"education","lineage":["https://openalex.org/I153455119"]},{"id":"https://openalex.org/I94624287","display_name":"University of Twente","ror":"https://ror.org/006hf6230","country_code":"NL","type":"education","lineage":["https://openalex.org/I94624287"]}],"countries":["NL","ZW"],"is_corresponding":false,"raw_author_name":"Tawanda W. Gara","raw_affiliation_strings":["Department of Geography and Environmental Science, University of Zimbabwe, Harare, Zimbabwe","Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Department of Geography and Environmental Science, University of Zimbabwe, Harare, Zimbabwe","institution_ids":["https://openalex.org/I153455119"]},{"raw_affiliation_string":"Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede, The Netherlands","institution_ids":["https://openalex.org/I94624287"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006620203","display_name":"Marco Heurich","orcid":"https://orcid.org/0000-0003-0051-2930"},"institutions":[{"id":"https://openalex.org/I161046081","display_name":"University of Freiburg","ror":"https://ror.org/0245cg223","country_code":"DE","type":"education","lineage":["https://openalex.org/I161046081"]},{"id":"https://openalex.org/I2800389101","display_name":"Bavarian Forest National Park","ror":"https://ror.org/05b2t8s27","country_code":"DE","type":"archive","lineage":["https://openalex.org/I2800389101"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Marco Heurich","raw_affiliation_strings":["Chair of Wildlife Ecology and Wildlife Management, University of Freiburg, Freiburg, Germany","Department of Visitor Management and National Park Monitoring, Bavarian Forest National Park, Grafenau, Germany"],"affiliations":[{"raw_affiliation_string":"Chair of Wildlife Ecology and Wildlife Management, University of Freiburg, Freiburg, Germany","institution_ids":["https://openalex.org/I161046081"]},{"raw_affiliation_string":"Department of Visitor Management and National Park Monitoring, Bavarian Forest National Park, Grafenau, Germany","institution_ids":["https://openalex.org/I2800389101"]}]}],"institutions":[],"countries_distinct_count":5,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5103059558"],"corresponding_institution_ids":["https://openalex.org/I4210114501","https://openalex.org/I94624287"],"apc_list":{"value":2390,"currency":"USD","value_usd":2390},"apc_paid":null,"fwci":4.1771,"has_fulltext":true,"cited_by_count":59,"citation_normalized_percentile":{"value":0.94232261,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"14","issue":"1","first_page":"106","last_page":"120"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9998000264167786,"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":0.9998000264167786,"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/T10895","display_name":"Species Distribution and Climate Change","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/2302","display_name":"Ecological Modeling"},"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":0.9890999794006348,"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/mean-squared-error","display_name":"Mean squared error","score":0.7566031217575073},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.6372631788253784},{"id":"https://openalex.org/keywords/atmospheric-radiative-transfer-codes","display_name":"Atmospheric radiative transfer codes","score":0.632929801940918},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5504421591758728},{"id":"https://openalex.org/keywords/canopy","display_name":"Canopy","score":0.5442150235176086},{"id":"https://openalex.org/keywords/leaf-area-index","display_name":"Leaf area index","score":0.5288358926773071},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.5020313262939453},{"id":"https://openalex.org/keywords/radiative-transfer","display_name":"Radiative transfer","score":0.45507514476776123},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.426961749792099},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.42538121342658997},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4228583574295044},{"id":"https://openalex.org/keywords/inversion","display_name":"Inversion (geology)","score":0.42123281955718994},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3224068284034729},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32135891914367676},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.31323981285095215},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.27847597002983093},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.25479966402053833},{"id":"https://openalex.org/keywords/botany","display_name":"Botany","score":0.16159602999687195},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.10258433222770691},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08407312631607056}],"concepts":[{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.7566031217575073},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.6372631788253784},{"id":"https://openalex.org/C199390426","wikidata":"https://www.wikidata.org/wiki/Q2353151","display_name":"Atmospheric radiative transfer codes","level":3,"score":0.632929801940918},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5504421591758728},{"id":"https://openalex.org/C101000010","wikidata":"https://www.wikidata.org/wiki/Q5033434","display_name":"Canopy","level":2,"score":0.5442150235176086},{"id":"https://openalex.org/C25989453","wikidata":"https://www.wikidata.org/wiki/Q446746","display_name":"Leaf area index","level":2,"score":0.5288358926773071},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.5020313262939453},{"id":"https://openalex.org/C74902906","wikidata":"https://www.wikidata.org/wiki/Q1190858","display_name":"Radiative transfer","level":2,"score":0.45507514476776123},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.426961749792099},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.42538121342658997},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4228583574295044},{"id":"https://openalex.org/C1893757","wikidata":"https://www.wikidata.org/wiki/Q3653001","display_name":"Inversion (geology)","level":3,"score":0.42123281955718994},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3224068284034729},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32135891914367676},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.31323981285095215},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.27847597002983093},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.25479966402053833},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.16159602999687195},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.10258433222770691},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08407312631607056},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C109007969","wikidata":"https://www.wikidata.org/wiki/Q749565","display_name":"Structural basin","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1080/17538947.2020.1794064","is_oa":true,"landing_page_url":"https://doi.org/10.1080/17538947.2020.1794064","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/17538947.2020.1794064?needAccess=true","source":{"id":"https://openalex.org/S199162493","display_name":"International Journal of Digital Earth","issn_l":"1753-8947","issn":["1753-8947","1753-8955"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Digital Earth","raw_type":"journal-article"},{"id":"pmh:oai:ris.utwente.nl:openaire/0537f24e-2df6-4e6f-be98-706f47beec61","is_oa":false,"landing_page_url":"https://research.utwente.nl/en/publications/0537f24e-2df6-4e6f-be98-706f47beec61","pdf_url":null,"source":{"id":"https://openalex.org/S4406922991","display_name":"University of Twente Research Information","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":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Ali, A M, Darvishzadeh, R, Skidmore, A K, Gara, T W & Heurich, M 2021, 'Machine learning methods\u2019 performance in radiative transfer model inversion to retrieve plant traits from Sentinel-2 data of a mixed mountain forest', International journal of digital earth, vol. 14, no. 1, pp. 106-120. https://doi.org/10.1080/17538947.2020.1794064","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:doaj.org/article:ea8625b38ff242a1a62942284472f3f7","is_oa":true,"landing_page_url":"https://doaj.org/article/ea8625b38ff242a1a62942284472f3f7","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Journal of Digital Earth, Vol 14, Iss 1, Pp 106-120 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1080/17538947.2020.1794064","is_oa":true,"landing_page_url":"https://doi.org/10.1080/17538947.2020.1794064","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/17538947.2020.1794064?needAccess=true","source":{"id":"https://openalex.org/S199162493","display_name":"International Journal of Digital Earth","issn_l":"1753-8947","issn":["1753-8947","1753-8955"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Digital Earth","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land","score":0.4399999976158142}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3043213732.pdf","grobid_xml":"https://content.openalex.org/works/W3043213732.grobid-xml"},"referenced_works_count":52,"referenced_works":["https://openalex.org/W75134264","https://openalex.org/W633320881","https://openalex.org/W1596717185","https://openalex.org/W1720178141","https://openalex.org/W1822483748","https://openalex.org/W1966123034","https://openalex.org/W1974618629","https://openalex.org/W1978160572","https://openalex.org/W1978283906","https://openalex.org/W1981695237","https://openalex.org/W2000485836","https://openalex.org/W2007342648","https://openalex.org/W2010581112","https://openalex.org/W2018027183","https://openalex.org/W2018627383","https://openalex.org/W2028956118","https://openalex.org/W2041970143","https://openalex.org/W2048773673","https://openalex.org/W2056435747","https://openalex.org/W2059501000","https://openalex.org/W2061920292","https://openalex.org/W2066284276","https://openalex.org/W2066612219","https://openalex.org/W2095681882","https://openalex.org/W2121025745","https://openalex.org/W2123504689","https://openalex.org/W2124937378","https://openalex.org/W2136876992","https://openalex.org/W2139925058","https://openalex.org/W2143494625","https://openalex.org/W2145539952","https://openalex.org/W2163663580","https://openalex.org/W2166312616","https://openalex.org/W2168508773","https://openalex.org/W2168705867","https://openalex.org/W2195651936","https://openalex.org/W2212839633","https://openalex.org/W2461497717","https://openalex.org/W2495726439","https://openalex.org/W2523317714","https://openalex.org/W2543433405","https://openalex.org/W2609044008","https://openalex.org/W2888842680","https://openalex.org/W2911964244","https://openalex.org/W2913847768","https://openalex.org/W2915777673","https://openalex.org/W2921811015","https://openalex.org/W2972801870","https://openalex.org/W2998577031","https://openalex.org/W4238889991","https://openalex.org/W4239510810","https://openalex.org/W4309434003"],"related_works":["https://openalex.org/W2366449082","https://openalex.org/W2065968650","https://openalex.org/W2037225341","https://openalex.org/W4251867227","https://openalex.org/W3207289449","https://openalex.org/W2058214432","https://openalex.org/W2347623428","https://openalex.org/W2067703153","https://openalex.org/W2988329506","https://openalex.org/W2165608115"],"abstract_inverted_index":{"Assessment":[0],"of":[1,67,110,149,176,196,210],"vegetation":[2],"biochemical":[3],"and":[4,15,31,55,127,166,184,207],"biophysical":[5],"variables":[6],"is":[7],"useful":[8],"when":[9],"developing":[10],"indicators":[11],"for":[12,205],"biodiversity":[13],"monitoring":[14],"climate":[16],"change":[17],"studies.":[18],"Here,":[19],"we":[20],"compared":[21],"a":[22,61],"radiative":[23],"transfer":[24],"model":[25],"(RTM)":[26],"inversion":[27,103,190],"by":[28],"merit":[29,105,192],"function":[30,106],"five":[32],"machine":[33,143,178],"learning":[34,144,179],"algorithms":[35,180],"trained":[36,199],"on":[37,83,141,200],"an":[38],"RTM":[39,102,189],"simulated":[40],"dataset":[41],"predicting":[42,72],"the":[43,68,138,142,177,188],"three":[44,74],"plant":[45,75,211,215],"traits":[46,76,212],"leaf":[47,56],"chlorophyll":[48,52],"content":[49,53],"(LCC),":[50],"canopy":[51],"(CCC),":[54],"area":[57],"index":[58],"(LAI),":[59],"in":[60,71,96,108],"mixed":[62],"temperate":[63],"forest.":[64],"The":[65,101,194],"accuracy":[66],"retrieval":[69],"methods":[70,198],"these":[73],"with":[77],"spectral":[78],"data":[79],"from":[80,218],"Sentinel-2":[81],"acquired":[82],"13":[84],"July":[85],"2017":[86],"over":[87],"Bavarian":[88],"Forest":[89],"National":[90],"Park,":[91],"Germany,":[92],"was":[93],"evaluated":[94],"using":[95,104,191],"situ":[97],"measurements":[98],"collected":[99],"contemporaneously.":[100],"resulted":[107],"estimations":[109,139],"LCC":[111,150],"(R2":[112,120,129,151,159,168],"=":[113,116,121,124,130,133,152,155,160,163,169,172],"0.26,":[114],"RMSE":[115,123,132,154,162,171],"3.9":[117],"\u00b5g/cm2),":[118,157],"CCC":[119,158],"0.65,":[122,161],"0.33":[125],"g/m2),":[126,165],"LAI":[128,167],"0.47,":[131,170],"0.73":[134],"m2/m2),":[135],"comparable":[136],"to":[137,187],"based":[140],"method":[145],"Random":[146],"forest":[147],"regression":[148,197],"0.34,":[153],"4.06":[156],"0.34":[164],"0.75":[173],"m2/m2).":[174],"Several":[175],"also":[181],"yielded":[182],"accuracies":[183],"robustness":[185],"similar":[186],"function.":[193],"performance":[195],"synthetic":[201],"datasets":[202],"showed":[203],"promise":[204],"fast":[206],"accurate":[208],"mapping":[209],"accross":[213],"different":[214],"functional":[216],"types":[217],"remote":[219],"sensing":[220],"data.":[221]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":2}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}
