{"id":"https://openalex.org/W1991049305","doi":"https://doi.org/10.3390/rs70100195","title":"Retrieval of a Temporal High-Resolution Leaf Area Index (LAI) by Combining MODIS LAI and ASTER Reflectance Data","display_name":"Retrieval of a Temporal High-Resolution Leaf Area Index (LAI) by Combining MODIS LAI and ASTER Reflectance Data","publication_year":2014,"publication_date":"2014-12-24","ids":{"openalex":"https://openalex.org/W1991049305","doi":"https://doi.org/10.3390/rs70100195","mag":"1991049305"},"language":"en","primary_location":{"id":"doi:10.3390/rs70100195","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs70100195","pdf_url":"https://www.mdpi.com/2072-4292/7/1/195/pdf?version=1419418826","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/2072-4292/7/1/195/pdf?version=1419418826","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076007515","display_name":"Yonghua Qu","orcid":"https://orcid.org/0000-0001-5940-5764"},"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":"Yonghua Qu","raw_affiliation_strings":["Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities,  Beijing Normal University, Beijing 100875, China","School of Geography, Beijing Normal University, Beijing 100875, China","State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and the Institute of Remote Sensing Applications of CAS, Beijing 100875, China","Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, Beijing Normal University, Beijing 100875, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities,  Beijing Normal University, Beijing 100875, China","institution_ids":["https://openalex.org/I25254941","https://openalex.org/I4210166112"]},{"raw_affiliation_string":"School of Geography, Beijing Normal University, Beijing 100875, China","institution_ids":["https://openalex.org/I25254941"]},{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and the Institute of Remote Sensing Applications of CAS, Beijing 100875, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I25254941"]},{"raw_affiliation_string":"Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, Beijing Normal University, Beijing 100875, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005565296","display_name":"Wenchao Han","orcid":"https://orcid.org/0000-0002-6936-7842"},"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":"Wenchao Han","raw_affiliation_strings":["Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities,  Beijing Normal University, Beijing 100875, China","School of Geography, Beijing Normal University, Beijing 100875, China","State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and the Institute of Remote Sensing Applications of CAS, Beijing 100875, China","Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, Beijing Normal University, Beijing 100875, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities,  Beijing Normal University, Beijing 100875, China","institution_ids":["https://openalex.org/I25254941","https://openalex.org/I4210166112"]},{"raw_affiliation_string":"School of Geography, Beijing Normal University, Beijing 100875, China","institution_ids":["https://openalex.org/I25254941"]},{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and the Institute of Remote Sensing Applications of CAS, Beijing 100875, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I25254941"]},{"raw_affiliation_string":"Beijing Key Laboratory for Remote Sensing of Environment and Digital Cities, Beijing Normal University, Beijing 100875, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040780405","display_name":"Mingguo Ma","orcid":"https://orcid.org/0000-0002-3783-8363"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mingguo Ma","raw_affiliation_strings":["Laboratory of Remote Sensing and Geospatial Science, Cold and Arid Regions Environmental and Engineering Research Institute of CAS, Lanzhou 730000, China"],"affiliations":[{"raw_affiliation_string":"Laboratory of Remote Sensing and Geospatial Science, Cold and Arid Regions Environmental and Engineering Research Institute of CAS, Lanzhou 730000, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5076007515"],"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":1.5509,"has_fulltext":true,"cited_by_count":18,"citation_normalized_percentile":{"value":0.82342882,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"7","issue":"1","first_page":"195","last_page":"210"},"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9998000264167786,"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/T10266","display_name":"Plant Water Relations and Carbon Dynamics","score":0.9934999942779541,"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/leaf-area-index","display_name":"Leaf area index","score":0.8088420629501343},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.8055421113967896},{"id":"https://openalex.org/keywords/advanced-spaceborne-thermal-emission-and-reflection-radiometer","display_name":"Advanced Spaceborne Thermal Emission and Reflection Radiometer","score":0.7208852767944336},{"id":"https://openalex.org/keywords/temporal-resolution","display_name":"Temporal resolution","score":0.6431456804275513},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.5813093781471252},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.5532934069633484},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.4630487263202667},{"id":"https://openalex.org/keywords/inversion","display_name":"Inversion (geology)","score":0.46189796924591064},{"id":"https://openalex.org/keywords/high-resolution","display_name":"High resolution","score":0.4481750726699829},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.2646329700946808},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.16846966743469238},{"id":"https://openalex.org/keywords/digital-elevation-model","display_name":"Digital elevation model","score":0.13329100608825684},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.06673482060432434}],"concepts":[{"id":"https://openalex.org/C25989453","wikidata":"https://www.wikidata.org/wiki/Q446746","display_name":"Leaf area index","level":2,"score":0.8088420629501343},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.8055421113967896},{"id":"https://openalex.org/C13772937","wikidata":"https://www.wikidata.org/wiki/Q298019","display_name":"Advanced Spaceborne Thermal Emission and Reflection Radiometer","level":3,"score":0.7208852767944336},{"id":"https://openalex.org/C119666444","wikidata":"https://www.wikidata.org/wiki/Q5977280","display_name":"Temporal resolution","level":2,"score":0.6431456804275513},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.5813093781471252},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.5532934069633484},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.4630487263202667},{"id":"https://openalex.org/C1893757","wikidata":"https://www.wikidata.org/wiki/Q3653001","display_name":"Inversion (geology)","level":3,"score":0.46189796924591064},{"id":"https://openalex.org/C3020199158","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"High resolution","level":2,"score":0.4481750726699829},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2646329700946808},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.16846966743469238},{"id":"https://openalex.org/C181843262","wikidata":"https://www.wikidata.org/wiki/Q640492","display_name":"Digital elevation model","level":2,"score":0.13329100608825684},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.06673482060432434},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"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/C109007969","wikidata":"https://www.wikidata.org/wiki/Q749565","display_name":"Structural basin","level":2,"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/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","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":2,"locations":[{"id":"doi:10.3390/rs70100195","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs70100195","pdf_url":"https://www.mdpi.com/2072-4292/7/1/195/pdf?version=1419418826","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:4bb3275807b74e08978a2b74ca0712fe","is_oa":true,"landing_page_url":"https://doaj.org/article/4bb3275807b74e08978a2b74ca0712fe","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 7, Iss 1, Pp 195-210 (2014)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/rs70100195","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs70100195","pdf_url":"https://www.mdpi.com/2072-4292/7/1/195/pdf?version=1419418826","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/6","score":0.6700000166893005,"display_name":"Clean water and sanitation"}],"awards":[{"id":"https://openalex.org/G1025605902","display_name":null,"funder_award_id":"91125004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1450447500","display_name":null,"funder_award_id":"41271348","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6194230105","display_name":null,"funder_award_id":"2013CB","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G6257172085","display_name":null,"funder_award_id":"2013CB733403","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program 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/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1991049305.pdf","grobid_xml":"https://content.openalex.org/works/W1991049305.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W1965682604","https://openalex.org/W1969801270","https://openalex.org/W1978160572","https://openalex.org/W1980879303","https://openalex.org/W1995875735","https://openalex.org/W1997904108","https://openalex.org/W2001734588","https://openalex.org/W2007134419","https://openalex.org/W2007852692","https://openalex.org/W2009825452","https://openalex.org/W2011891056","https://openalex.org/W2038137144","https://openalex.org/W2054102182","https://openalex.org/W2057891218","https://openalex.org/W2061382717","https://openalex.org/W2066612219","https://openalex.org/W2067703153","https://openalex.org/W2068195262","https://openalex.org/W2069988625","https://openalex.org/W2073226970","https://openalex.org/W2073431505","https://openalex.org/W2075520859","https://openalex.org/W2077180291","https://openalex.org/W2101842590","https://openalex.org/W2125459444","https://openalex.org/W2137933418","https://openalex.org/W2144121839","https://openalex.org/W2151647593","https://openalex.org/W2153243519","https://openalex.org/W2158804107","https://openalex.org/W2161527913","https://openalex.org/W2341283081","https://openalex.org/W2575089386","https://openalex.org/W3143518095"],"related_works":["https://openalex.org/W1993111040","https://openalex.org/W2045329038","https://openalex.org/W1966472837","https://openalex.org/W2217449633","https://openalex.org/W2071207587","https://openalex.org/W4320807967","https://openalex.org/W2015273319","https://openalex.org/W2128760873","https://openalex.org/W4249245269","https://openalex.org/W2047961797"],"abstract_inverted_index":{"This":[0],"paper":[1],"aims":[2],"to":[3,44,51,65,108],"retrieve":[4],"temporal":[5,46,54,76,104,111,197],"high-resolution":[6,34,39,85,188,198],"LAI":[7,17,40,86,100,168,199],"derived":[8],"by":[9,118],"fusing":[10],"MOD15":[11],"products":[12,47],"(1":[13],"km":[14],"resolution),":[15],"field-measured":[16],"and":[18,75,161,166,171,212],"ASTER":[19,124],"reflectance":[20,31],"(15-m":[21],"resolution).":[22],"Though":[23],"the":[24,42,52,73,110,129,149,164,181,187,196,204,209],"inversion":[25,97],"of":[26,56,72,78],"a":[27,84,92,136,145,191],"physically":[28],"based":[29],"canopy":[30],"model":[32],"using":[33,91,144,203],"satellite":[35,59,189],"data":[36,101,132],"can":[37,200],"produce":[38],"products,":[41],"obstacle":[43],"producing":[45],"is":[48,64,115],"obvious":[49],"due":[50],"low":[53],"resolution":[55,58,77,105,121,131],"high":[57],"data.":[60,125],"A":[61],"feasible":[62],"method":[63,88,141],"combine":[66],"different":[67,79,130],"source":[68],"data,":[69,122],"taking":[70],"advantage":[71],"spatial":[74],"sensors.":[80],"In":[81],"this":[82],"paper,":[83],"retrieval":[87],"was":[89,142],"implemented":[90],"dynamic":[93],"Bayesian":[94,137],"network":[95],"(DBN)":[96],"framework.":[98],"MODIS":[99],"with":[102],"higher":[103,120],"were":[106,133],"used":[107],"fit":[109],"background":[112,183,213],"information,":[113],"which":[114],"then":[116],"updated":[117],"new,":[119],"herein":[123],"The":[126,139,158,174],"interactions":[127],"between":[128,163],"analyzed":[134],"from":[135,186,207],"perspective.":[138],"proposed":[140],"evaluated":[143],"dataset":[146],"collected":[147],"in":[148],"HiWater":[150],"(Heihe":[151],"Watershed":[152],"Allied":[153],"Telemetry":[154],"Experimental":[155],"Research)":[156],"experiment.":[157],"determination":[159],"coefficient":[160],"RMSE":[162],"estimated":[165],"measured":[167],"are":[169],"0.80":[170],"0.43,":[172],"respectively.":[173],"research":[175],"results":[176],"suggest":[177],"that":[178],"even":[179],"though":[180],"coarse-resolution":[182],"information":[184,206],"differs":[185],"observations,":[190],"satisfactory":[192],"estimation":[193],"result":[194],"for":[195],"be":[201],"produced":[202],"accumulated":[205],"both":[208],"new":[210],"observations":[211],"information.":[214]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}