{"id":"https://openalex.org/W3012494810","doi":"https://doi.org/10.1109/tgrs.2020.2978884","title":"A Scaling-Based Method for the Rapid Retrieval of FPAR From Fine-Resolution Satellite Data in the Remote-Sensing Trend-Surface Framework","display_name":"A Scaling-Based Method for the Rapid Retrieval of FPAR From Fine-Resolution Satellite Data in the Remote-Sensing Trend-Surface Framework","publication_year":2020,"publication_date":"2020-03-19","ids":{"openalex":"https://openalex.org/W3012494810","doi":"https://doi.org/10.1109/tgrs.2020.2978884","mag":"3012494810"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2020.2978884","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2020.2978884","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100389965","display_name":"Yiting Wang","orcid":"https://orcid.org/0000-0002-2498-3123"},"institutions":[{"id":"https://openalex.org/I110440473","display_name":"Xi'an University of Science and Technology","ror":"https://ror.org/046fkpt18","country_code":"CN","type":"education","lineage":["https://openalex.org/I110440473"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yiting Wang","raw_affiliation_strings":["College of Geomatics, Xi\u2019an University of Science and Technology, Xi\u2019an, China","College of Geomatics, Xi'an University of Science and Technology, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-2498-3123","affiliations":[{"raw_affiliation_string":"College of Geomatics, Xi\u2019an University of Science and Technology, Xi\u2019an, China","institution_ids":["https://openalex.org/I110440473"]},{"raw_affiliation_string":"College of Geomatics, Xi'an University of Science and Technology, Xi'an, China","institution_ids":["https://openalex.org/I110440473"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107597668","display_name":"Guangjian Yan","orcid":"https://orcid.org/0000-0001-5030-748X"},"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":"Guangjian Yan","raw_affiliation_strings":["Beijing Engineering Research Center for Global Land Remote Sensing Products, Faculty of Geographical Science, Beijing Normal University, Beijing, China","State Key Laboratory of Remote Sensing Science, Beijing Normal University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-5030-748X","affiliations":[{"raw_affiliation_string":"Beijing Engineering Research Center for Global Land Remote Sensing Products, Faculty of Geographical Science, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I25254941"]},{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050072653","display_name":"Ronghai Hu","orcid":"https://orcid.org/0000-0001-8041-2483"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ronghai Hu","raw_affiliation_strings":["College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069103302","display_name":"Donghui Xie","orcid":"https://orcid.org/0000-0003-3923-6056"},"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":"Donghui Xie","raw_affiliation_strings":["Beijing Engineering Research Center for Global Land Remote Sensing Products, Faculty of Geographical Science, Beijing Normal University, Beijing, China","State Key Laboratory of Remote Sensing Science, Beijing Normal University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-3923-6056","affiliations":[{"raw_affiliation_string":"Beijing Engineering Research Center for Global Land Remote Sensing Products, Faculty of Geographical Science, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I25254941"]},{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I25254941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100642663","display_name":"Wei Chen","orcid":"https://orcid.org/0000-0002-2585-9984"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Chen","raw_affiliation_strings":["College of Geoscience and Surveying Engineering, China University of Mining and Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-2585-9984","affiliations":[{"raw_affiliation_string":"College of Geoscience and Surveying Engineering, China University of Mining and Technology, Beijing, China","institution_ids":["https://openalex.org/I25757504"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100389965"],"corresponding_institution_ids":["https://openalex.org/I110440473"],"apc_list":null,"apc_paid":null,"fwci":1.7695,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.83429782,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"58","issue":"10","first_page":"7035","last_page":"7048"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9991999864578247,"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":0.9991999864578247,"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/T11588","display_name":"Atmospheric and Environmental Gas Dynamics","score":0.9984999895095825,"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"}},{"id":"https://openalex.org/T10029","display_name":"Climate variability and models","score":0.9898999929428101,"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/remote-sensing","display_name":"Remote sensing","score":0.8363360166549683},{"id":"https://openalex.org/keywords/moderate-resolution-imaging-spectroradiometer","display_name":"Moderate-resolution imaging spectroradiometer","score":0.770748496055603},{"id":"https://openalex.org/keywords/downscaling","display_name":"Downscaling","score":0.6518387198448181},{"id":"https://openalex.org/keywords/photosynthetically-active-radiation","display_name":"Photosynthetically active radiation","score":0.607219934463501},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.5730454921722412},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5509867668151855},{"id":"https://openalex.org/keywords/normalized-difference-vegetation-index","display_name":"Normalized Difference Vegetation Index","score":0.5308433771133423},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.5250572562217712},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.47549331188201904},{"id":"https://openalex.org/keywords/spectroradiometer","display_name":"Spectroradiometer","score":0.4733728766441345},{"id":"https://openalex.org/keywords/vegetation","display_name":"Vegetation (pathology)","score":0.46783649921417236},{"id":"https://openalex.org/keywords/leaf-area-index","display_name":"Leaf area index","score":0.45308271050453186},{"id":"https://openalex.org/keywords/endmember","display_name":"Endmember","score":0.45106935501098633},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4314889907836914},{"id":"https://openalex.org/keywords/satellite-imagery","display_name":"Satellite imagery","score":0.42595475912094116},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.40590494871139526},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.328247606754303},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.21392065286636353},{"id":"https://openalex.org/keywords/reflectivity","display_name":"Reflectivity","score":0.1394365429878235},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.13935130834579468},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12930253148078918},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08755549788475037},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.0836462676525116},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07581779360771179}],"concepts":[{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.8363360166549683},{"id":"https://openalex.org/C2777007095","wikidata":"https://www.wikidata.org/wiki/Q676840","display_name":"Moderate-resolution imaging spectroradiometer","level":3,"score":0.770748496055603},{"id":"https://openalex.org/C41156917","wikidata":"https://www.wikidata.org/wiki/Q682831","display_name":"Downscaling","level":3,"score":0.6518387198448181},{"id":"https://openalex.org/C131366478","wikidata":"https://www.wikidata.org/wiki/Q900892","display_name":"Photosynthetically active radiation","level":3,"score":0.607219934463501},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.5730454921722412},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5509867668151855},{"id":"https://openalex.org/C1549246","wikidata":"https://www.wikidata.org/wiki/Q718775","display_name":"Normalized Difference Vegetation Index","level":3,"score":0.5308433771133423},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.5250572562217712},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.47549331188201904},{"id":"https://openalex.org/C130066347","wikidata":"https://www.wikidata.org/wiki/Q680509","display_name":"Spectroradiometer","level":3,"score":0.4733728766441345},{"id":"https://openalex.org/C2776133958","wikidata":"https://www.wikidata.org/wiki/Q7918366","display_name":"Vegetation (pathology)","level":2,"score":0.46783649921417236},{"id":"https://openalex.org/C25989453","wikidata":"https://www.wikidata.org/wiki/Q446746","display_name":"Leaf area index","level":2,"score":0.45308271050453186},{"id":"https://openalex.org/C58237817","wikidata":"https://www.wikidata.org/wiki/Q5376204","display_name":"Endmember","level":3,"score":0.45106935501098633},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4314889907836914},{"id":"https://openalex.org/C2778102629","wikidata":"https://www.wikidata.org/wiki/Q725252","display_name":"Satellite imagery","level":2,"score":0.42595475912094116},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.40590494871139526},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.328247606754303},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.21392065286636353},{"id":"https://openalex.org/C108597893","wikidata":"https://www.wikidata.org/wiki/Q663650","display_name":"Reflectivity","level":2,"score":0.1394365429878235},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.13935130834579468},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12930253148078918},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08755549788475037},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0836462676525116},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07581779360771179},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C107054158","wikidata":"https://www.wikidata.org/wiki/Q25257","display_name":"Precipitation","level":2,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"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/C183688256","wikidata":"https://www.wikidata.org/wiki/Q11982","display_name":"Photosynthesis","level":2,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2020.2978884","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2020.2978884","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.6600000262260437}],"awards":[{"id":"https://openalex.org/G2933642877","display_name":null,"funder_award_id":"OFSLRSS201922","funder_id":"https://openalex.org/F4320326981","funder_display_name":"State Key Laboratory of Remote Sensing Science"},{"id":"https://openalex.org/G3207929994","display_name":null,"funder_award_id":"41901301","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4783544367","display_name":null,"funder_award_id":"41701391","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5124206436","display_name":null,"funder_award_id":"2019QDJ006","funder_id":"https://openalex.org/F4320325422","funder_display_name":"Xi'an University of Science and Technology"},{"id":"https://openalex.org/G6141073115","display_name":null,"funder_award_id":"41601348","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7808720928","display_name":null,"funder_award_id":"41901288","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"},{"id":"https://openalex.org/F4320325422","display_name":"Xi'an University of Science and Technology","ror":"https://ror.org/046fkpt18"},{"id":"https://openalex.org/F4320326981","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W1533073574","https://openalex.org/W1968632946","https://openalex.org/W1969801270","https://openalex.org/W1975561327","https://openalex.org/W1975855611","https://openalex.org/W1991308516","https://openalex.org/W1998438756","https://openalex.org/W2007134419","https://openalex.org/W2007285204","https://openalex.org/W2013061102","https://openalex.org/W2022178160","https://openalex.org/W2025865760","https://openalex.org/W2028898612","https://openalex.org/W2039239032","https://openalex.org/W2041906034","https://openalex.org/W2047058045","https://openalex.org/W2048040783","https://openalex.org/W2051128904","https://openalex.org/W2051401416","https://openalex.org/W2054502362","https://openalex.org/W2058214432","https://openalex.org/W2061382717","https://openalex.org/W2061703585","https://openalex.org/W2069981052","https://openalex.org/W2075072883","https://openalex.org/W2082136988","https://openalex.org/W2082691405","https://openalex.org/W2085793179","https://openalex.org/W2089514929","https://openalex.org/W2092219385","https://openalex.org/W2103015260","https://openalex.org/W2105307752","https://openalex.org/W2109086094","https://openalex.org/W2121025745","https://openalex.org/W2123720514","https://openalex.org/W2131126673","https://openalex.org/W2146545127","https://openalex.org/W2151456308","https://openalex.org/W2152634225","https://openalex.org/W2153243519","https://openalex.org/W2161925775","https://openalex.org/W2313934943","https://openalex.org/W2319245025","https://openalex.org/W2342566005","https://openalex.org/W2418094713","https://openalex.org/W2502514641","https://openalex.org/W2527335243","https://openalex.org/W2780649378","https://openalex.org/W2807906563","https://openalex.org/W2899101283","https://openalex.org/W2899755331","https://openalex.org/W2903772126","https://openalex.org/W4251080014","https://openalex.org/W4385440587","https://openalex.org/W6673216820","https://openalex.org/W6747315132"],"related_works":["https://openalex.org/W1968901811","https://openalex.org/W2087241461","https://openalex.org/W2951876070","https://openalex.org/W2185517458","https://openalex.org/W1609312116","https://openalex.org/W2920886801","https://openalex.org/W2098219828","https://openalex.org/W2045907675","https://openalex.org/W4285061174","https://openalex.org/W2072080238"],"abstract_inverted_index":{"Accurate":[0],"estimation":[1,120],"of":[2,6,158,175,181,221,259,265],"the":[3,43,103,114,156,186,192,222,263,266],"fine-resolution":[4,59],"fraction":[5],"absorbed":[7],"photosynthetically":[8],"active":[9],"radiation":[10],"(FPAR)":[11],"across":[12],"broad":[13],"spatial":[14],"extents":[15],"and":[16,22,36,40,74,84,95,109,141,166,213,229,239,252,254],"long":[17,178],"time":[18,179],"periods":[19],"requires":[20],"efficient":[21],"applicable":[23],"methods.":[24,232],"The":[25,69,146,206,233],"existing":[26],"methods":[27],"can":[28],"hardly":[29],"provide":[30],"a":[31,51,67],"balance":[32],"between":[33,106],"accuracy,":[34],"simplicity,":[35],"transferability":[37],"through":[38,123,250],"space":[39,251],"time.":[41,138],"Within":[42],"remote-sensing":[44],"trend-surface":[45],"conceptual":[46],"framework,":[47],"this":[48],"article":[49],"proposes":[50],"scaling-based":[52,234],"method":[53,70,147,235],"to":[54,76,92,100,130,262],"efficiently":[55],"retrieve":[56],"FPAR":[57,64,82,93,108,119,132,182,242,260],"from":[58,133,155],"satellite":[60],"data":[61,183],"using":[62],"coarse-resolution":[63],"products":[65],"as":[66],"reference.":[68],"was":[71,98,121,148,189],"particularly":[72],"developed":[73],"applied":[75],"Moderate":[77],"Resolution":[78],"Imaging":[79],"Spectroradiometer":[80],"(MODIS)":[81],"product":[83],"Landsat":[85,110,134,267],"imagery.":[86],"First,":[87],"necessary":[88],"prior":[89],"knowledge":[90],"related":[91],"retrieval":[94],"scaling":[96],"theories":[97],"used":[99],"explicitly":[101],"linearize":[102],"complex":[104],"relationship":[105],"MODIS":[107],"surface":[111],"reflectance.":[112],"Second,":[113],"explicit":[115],"linear":[116],"model":[117],"for":[118,127,202,256],"trained":[122],"one-pair":[124],"image":[125],"learning":[126],"each":[128],"date":[129],"estimate":[131],"imagery":[135],"in":[136,244],"real":[137,245],"Both":[139],"homogeneous":[140],"heterogeneous":[142],"cases":[143],"were":[144,208,216],"considered.":[145],"validated":[149],"at":[150,185,191],"ten":[151],"selected":[152],"worldwide":[153],"sites":[154],"Validation":[157],"Land":[159],"European":[160],"Remote":[161],"Sensing":[162],"Instruments":[163],"(VALERI)":[164],"program":[165],"derived":[167],"an":[168],"overall":[169],"root":[170],"mean":[171],"squared":[172],"error":[173],"(RMSE)":[174],"0.133.":[176],"A":[177],"series":[180,268],"set":[184],"30-m":[187],"resolution":[188],"generated":[190],"regional":[193],"scale":[194],"(approximately":[195],"2000":[196],"km":[197],"<sup":[198],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[199],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[200],")":[201],"13":[203],"years":[204],"(2000\u20132012).":[205],"results":[207],"accurate":[209],"(RMSE":[210],"=":[211],"0.072)":[212],"MODIS-consistent,":[214],"which":[215],"significantly":[217],"better":[218],"than":[219],"those":[220],"normalized":[223],"difference":[224],"vegetation":[225],"index":[226],"(NDVI)":[227],"downscaling-based":[228],"regression":[230],"tree":[231],"provides":[236],"accurate,":[237],"MODIS-consistent":[238],"spatially":[240],"consistent":[241],"estimates":[243,261],"time,":[246,253],"is":[247],"highly":[248],"transferrable":[249],"allows":[255],"future":[257],"extension":[258],"era":[264],"satellites.":[269]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":6}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
