{"id":"https://openalex.org/W2884268504","doi":"https://doi.org/10.3390/rs10081187","title":"The Retrieval of 30-m Resolution LAI from Landsat Data by Combining MODIS Products","display_name":"The Retrieval of 30-m Resolution LAI from Landsat Data by Combining MODIS Products","publication_year":2018,"publication_date":"2018-07-27","ids":{"openalex":"https://openalex.org/W2884268504","doi":"https://doi.org/10.3390/rs10081187","mag":"2884268504"},"language":"en","primary_location":{"id":"doi:10.3390/rs10081187","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs10081187","pdf_url":"https://www.mdpi.com/2072-4292/10/8/1187/pdf?version=1533095951","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/2072-4292/10/8/1187/pdf?version=1533095951","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5110185047","display_name":"Jianmin Zhou","orcid":"https://orcid.org/0000-0001-7996-6745"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianmin Zhou","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100325426","display_name":"Shan Zhang","orcid":"https://orcid.org/0009-0004-4913-5579"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shan Zhang","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016123060","display_name":"Hua Yang","orcid":"https://orcid.org/0000-0001-5536-503X"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hua Yang","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063976189","display_name":"Zhiqiang Xiao","orcid":"https://orcid.org/0000-0001-8245-6762"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiqiang Xiao","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I25254941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100362401","display_name":"Feng Gao","orcid":"https://orcid.org/0000-0002-1865-2846"},"institutions":[{"id":"https://openalex.org/I1312222531","display_name":"Agricultural Research Service","ror":"https://ror.org/02d2m2044","country_code":"US","type":"government","lineage":["https://openalex.org/I1312222531","https://openalex.org/I1336096307"]},{"id":"https://openalex.org/I1336096307","display_name":"United States Department of Agriculture","ror":"https://ror.org/01na82s61","country_code":"US","type":"government","lineage":["https://openalex.org/I1336096307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Feng Gao","raw_affiliation_strings":["USDA (United States Department of Agriculture), Agricultural Research Service, Hydrology and Remote Sensing Laboratory, 10300 Baltimore Avenue, Beltsville, MD 20705, USA"],"affiliations":[{"raw_affiliation_string":"USDA (United States Department of Agriculture), Agricultural Research Service, Hydrology and Remote Sensing Laboratory, 10300 Baltimore Avenue, Beltsville, MD 20705, USA","institution_ids":["https://openalex.org/I1336096307","https://openalex.org/I1312222531"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5016123060"],"corresponding_institution_ids":["https://openalex.org/I25254941","https://openalex.org/I4210166112"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":0.9781,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.77481303,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"10","issue":"8","first_page":"1187","last_page":"1187"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9998999834060669,"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":0.9998999834060669,"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/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/T14365","display_name":"Leaf Properties and Growth Measurement","score":0.9926000237464905,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.8603078722953796},{"id":"https://openalex.org/keywords/spectroradiometer","display_name":"Spectroradiometer","score":0.6550955772399902},{"id":"https://openalex.org/keywords/leaf-area-index","display_name":"Leaf area index","score":0.6478273868560791},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.6237086057662964},{"id":"https://openalex.org/keywords/moderate-resolution-imaging-spectroradiometer","display_name":"Moderate-resolution imaging spectroradiometer","score":0.5588513612747192},{"id":"https://openalex.org/keywords/inversion","display_name":"Inversion (geology)","score":0.4870033860206604},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.483253538608551},{"id":"https://openalex.org/keywords/vegetation","display_name":"Vegetation (pathology)","score":0.4791412055492401},{"id":"https://openalex.org/keywords/homogeneous","display_name":"Homogeneous","score":0.4564798176288605},{"id":"https://openalex.org/keywords/reflectivity","display_name":"Reflectivity","score":0.43542319536209106},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.42073601484298706},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.25247204303741455},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.17262589931488037},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14497923851013184},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.10330730676651001},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.09090271592140198}],"concepts":[{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.8603078722953796},{"id":"https://openalex.org/C130066347","wikidata":"https://www.wikidata.org/wiki/Q680509","display_name":"Spectroradiometer","level":3,"score":0.6550955772399902},{"id":"https://openalex.org/C25989453","wikidata":"https://www.wikidata.org/wiki/Q446746","display_name":"Leaf area index","level":2,"score":0.6478273868560791},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.6237086057662964},{"id":"https://openalex.org/C2777007095","wikidata":"https://www.wikidata.org/wiki/Q676840","display_name":"Moderate-resolution imaging spectroradiometer","level":3,"score":0.5588513612747192},{"id":"https://openalex.org/C1893757","wikidata":"https://www.wikidata.org/wiki/Q3653001","display_name":"Inversion (geology)","level":3,"score":0.4870033860206604},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.483253538608551},{"id":"https://openalex.org/C2776133958","wikidata":"https://www.wikidata.org/wiki/Q7918366","display_name":"Vegetation (pathology)","level":2,"score":0.4791412055492401},{"id":"https://openalex.org/C66882249","wikidata":"https://www.wikidata.org/wiki/Q169336","display_name":"Homogeneous","level":2,"score":0.4564798176288605},{"id":"https://openalex.org/C108597893","wikidata":"https://www.wikidata.org/wiki/Q663650","display_name":"Reflectivity","level":2,"score":0.43542319536209106},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.42073601484298706},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.25247204303741455},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.17262589931488037},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14497923851013184},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.10330730676651001},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.09090271592140198},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs10081187","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs10081187","pdf_url":"https://www.mdpi.com/2072-4292/10/8/1187/pdf?version=1533095951","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:29457b3fee6242fd89a4d206ad26c3c0","is_oa":true,"landing_page_url":"https://doaj.org/article/29457b3fee6242fd89a4d206ad26c3c0","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-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 10, Iss 8, p 1187 (2018)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/10/8/1187/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs10081187","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/rs10081187","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs10081187","pdf_url":"https://www.mdpi.com/2072-4292/10/8/1187/pdf?version=1533095951","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":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.75}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321432","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2884268504.pdf","grobid_xml":"https://content.openalex.org/works/W2884268504.grobid-xml"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W61452412","https://openalex.org/W221493477","https://openalex.org/W1973749534","https://openalex.org/W1974902368","https://openalex.org/W1985864794","https://openalex.org/W1998776407","https://openalex.org/W2013061102","https://openalex.org/W2018494703","https://openalex.org/W2038137144","https://openalex.org/W2042692910","https://openalex.org/W2052256290","https://openalex.org/W2060384859","https://openalex.org/W2061382717","https://openalex.org/W2070076962","https://openalex.org/W2090851353","https://openalex.org/W2093661729","https://openalex.org/W2105339792","https://openalex.org/W2116292622","https://openalex.org/W2123737232","https://openalex.org/W2125397877","https://openalex.org/W2127035833","https://openalex.org/W2128622098","https://openalex.org/W2153243519","https://openalex.org/W2153635508","https://openalex.org/W2156599833","https://openalex.org/W2156994199","https://openalex.org/W2157334214","https://openalex.org/W2310995390","https://openalex.org/W2376485425","https://openalex.org/W2378349610","https://openalex.org/W2404325781","https://openalex.org/W2514604994","https://openalex.org/W2561006777","https://openalex.org/W2775256491","https://openalex.org/W2950727339","https://openalex.org/W3120421331","https://openalex.org/W4385530001","https://openalex.org/W6655115902","https://openalex.org/W6678557583","https://openalex.org/W6682633565","https://openalex.org/W6693953293"],"related_works":["https://openalex.org/W1968901811","https://openalex.org/W2087241461","https://openalex.org/W2407219380","https://openalex.org/W1609312116","https://openalex.org/W2323190800","https://openalex.org/W2098219828","https://openalex.org/W2045907675","https://openalex.org/W2360114125","https://openalex.org/W2028054326","https://openalex.org/W2023226251"],"abstract_inverted_index":{"Leaf":[0],"area":[1],"index":[2],"(LAI)":[3],"is":[4],"a":[5,93,116],"critical":[6],"vegetation":[7,51],"structural":[8,48],"parameter":[9],"in":[10,22,139,143,149],"biogeochemical":[11],"and":[12,36,85,92,112,115,145,156,180,193,224,230,262,286,330],"biophysical":[13],"ecosystems.":[14],"High-resolution":[15],"LAI":[16,76,113,132,182,194,225,239,311],"products":[17,183,195,226,306],"play":[18],"an":[19],"essential":[20],"role":[21],"regional":[23],"studies.":[24],"Empirical":[25],"methods,":[26],"which":[27],"normally":[28],"use":[29],"field":[30,247],"measurements":[31,248],"as":[32,40],"their":[33],"training":[34,62,71,103,165,213],"samples":[35,72,104,125,166,214],"have":[37,66],"been":[38,67],"identified":[39],"the":[41,59,124,130,140,154,177,186,208,212,231,263,274,279,300,318,328],"most":[42],"commonly":[43],"used":[44,127],"approaches":[45],"to":[46,69,101,128,272],"retrieve":[47,129,308],"parameters":[49],"of":[50,61,164,172,190,259,317,327],"from":[52,73,105,133,219,312],"high-resolution":[53,131],"remote-sensing":[54],"data,":[55],"are":[56,282,289],"limited":[57],"by":[58,123],"quality":[60],"samples.":[63],"Few":[64],"efforts":[65],"made":[68],"generate":[70],"existing":[74],"global":[75],"products.":[77],"In":[78],"this":[79],"study,":[80],"two":[81,161,200,301],"methods":[82,302],"(a":[83],"homogeneous":[84,155,329],"pure":[86,157,331],"pixel":[87,94,158,209,319,332],"filter":[88,159,333],"method":[89,96,321],"(method":[90,97],"A)":[91],"unmixing":[95,210,320],"B))":[98],"were":[99,167,203,217,270],"developed":[100,204],"extract":[102],"moderate-resolution":[106],"imaging":[107],"spectroradiometer":[108],"(MODIS)":[109],"surface":[110,222],"reflectance":[111,175,192,223],"products,":[114],"support":[117],"vector":[118],"regression":[119],"(SVR)":[120],"algorithm":[121],"trained":[122],"was":[126,170,188,235,249,322],"Landsat":[134,174,313],"data":[135],"at":[136,176,227],"Baoding,":[137],"situated":[138,148],"Hebei":[141],"Province":[142],"China,":[144],"Des":[146],"Moines,":[147],"Iowa,":[150],"United":[151],"States.":[152],"For":[153,207,276],"method,":[160,211],"different":[162],"sets":[163],"designed.":[168],"One":[169],"composed":[171,189],"upscaled":[173],"500-m":[178],"resolution":[179,310],"MODIS":[181,191,221,305],"(dataset":[184,196,215],"A1);":[185],"other":[187],"A2).":[197],"With":[198],"them,":[199],"inversion":[201,233,240,254],"models":[202,298],"using":[205,251],"SVR.":[206],"B)":[216],"extracted":[218],"unmixed":[220],"30-m":[228,309],"resolution,":[229],"third":[232],"model":[234],"obtained":[236],"with":[237,246,304],"them.":[238],"results":[241,316],"showed":[242,295],"that":[243,296,326],"good":[244],"agreement":[245],"achieved":[250],"these":[252],"three":[253,297],"models.":[255],"The":[256,315],"R2":[257,280],"(coefficient":[258],"determination)":[260],"value":[261,269],"root":[264],"mean":[265],"square":[266],"error":[267],"(RMSE)":[268],"computed":[271],"assess":[273],"results.":[275],"all":[277],"tests,":[278],"values":[281,288],"higher":[283],"than":[284,291,325],"0.74":[285],"RMSE":[287],"less":[290],"0.73.":[292],"These":[293],"tests":[294],"for":[299],"combined":[303],"can":[307],"data.":[314],"slightly":[323],"better":[324],"method.":[334]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}