{"id":"https://openalex.org/W4321499551","doi":"https://doi.org/10.3390/rs15051176","title":"A Radiation-Regulated Dynamic Maximum Light Use Efficiency for Improving Gross Primary Productivity Estimation","display_name":"A Radiation-Regulated Dynamic Maximum Light Use Efficiency for Improving Gross Primary Productivity Estimation","publication_year":2023,"publication_date":"2023-02-21","ids":{"openalex":"https://openalex.org/W4321499551","doi":"https://doi.org/10.3390/rs15051176"},"language":"en","primary_location":{"id":"doi:10.3390/rs15051176","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15051176","pdf_url":"https://www.mdpi.com/2072-4292/15/5/1176/pdf?version=1677227969","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/15/5/1176/pdf?version=1677227969","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5011911974","display_name":"Zhiying Xie","orcid":"https://orcid.org/0000-0002-7878-5499"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiying Xie","raw_affiliation_strings":["College of Water Sciences, Beijing Normal University, Beijing 100875, China"],"raw_orcid":"https://orcid.org/0000-0002-7878-5499","affiliations":[{"raw_affiliation_string":"College of Water Sciences, Beijing Normal University, Beijing 100875, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059057034","display_name":"Cenliang Zhao","orcid":"https://orcid.org/0000-0002-2833-8148"},"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":"Cenliang Zhao","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China"],"raw_orcid":"https://orcid.org/0000-0002-2833-8148","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/A5053403248","display_name":"Wenquan Zhu","orcid":"https://orcid.org/0000-0003-3011-444X"},"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":"Wenquan Zhu","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China"],"raw_orcid":"https://orcid.org/0000-0003-3011-444X","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/A5100323383","display_name":"Hui Zhang","orcid":"https://orcid.org/0000-0001-8904-0233"},"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":"Hui Zhang","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China"],"raw_orcid":null,"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/A5032714629","display_name":"Yongshuo H. Fu","orcid":"https://orcid.org/0000-0002-9761-5292"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongshuo H. Fu","raw_affiliation_strings":["College of Water Sciences, Beijing Normal University, Beijing 100875, China"],"raw_orcid":"https://orcid.org/0000-0002-9761-5292","affiliations":[{"raw_affiliation_string":"College of Water Sciences, Beijing Normal University, Beijing 100875, China","institution_ids":["https://openalex.org/I25254941"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5059057034"],"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":2.2169,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.87068203,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"15","issue":"5","first_page":"1176","last_page":"1176"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10266","display_name":"Plant Water Relations and Carbon Dynamics","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T10266","display_name":"Plant Water Relations and Carbon Dynamics","score":0.9997000098228455,"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/T10111","display_name":"Remote Sensing in Agriculture","score":0.9984999895095825,"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/T11276","display_name":"Solar Radiation and Photovoltaics","score":0.9897000193595886,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/photosynthetically-active-radiation","display_name":"Photosynthetically active radiation","score":0.753096342086792},{"id":"https://openalex.org/keywords/primary-production","display_name":"Primary production","score":0.6309345364570618},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.4735897183418274},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.4718475341796875},{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.4555179178714752},{"id":"https://openalex.org/keywords/atmospheric-sciences","display_name":"Atmospheric sciences","score":0.43343478441238403},{"id":"https://openalex.org/keywords/primary-productivity","display_name":"Primary productivity","score":0.4192691743373871},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3941567838191986},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.36283183097839355},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.31797802448272705},{"id":"https://openalex.org/keywords/photosynthesis","display_name":"Photosynthesis","score":0.25760456919670105},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.22167763113975525},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.15597516298294067},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.14403581619262695},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.13159224390983582},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.12714415788650513},{"id":"https://openalex.org/keywords/ecosystem","display_name":"Ecosystem","score":0.10767161846160889},{"id":"https://openalex.org/keywords/botany","display_name":"Botany","score":0.09520179033279419}],"concepts":[{"id":"https://openalex.org/C131366478","wikidata":"https://www.wikidata.org/wiki/Q900892","display_name":"Photosynthetically active radiation","level":3,"score":0.753096342086792},{"id":"https://openalex.org/C24717449","wikidata":"https://www.wikidata.org/wiki/Q515905","display_name":"Primary production","level":3,"score":0.6309345364570618},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.4735897183418274},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.4718475341796875},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.4555179178714752},{"id":"https://openalex.org/C91586092","wikidata":"https://www.wikidata.org/wiki/Q757520","display_name":"Atmospheric sciences","level":1,"score":0.43343478441238403},{"id":"https://openalex.org/C2992152313","wikidata":"https://www.wikidata.org/wiki/Q515905","display_name":"Primary productivity","level":3,"score":0.4192691743373871},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3941567838191986},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.36283183097839355},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.31797802448272705},{"id":"https://openalex.org/C183688256","wikidata":"https://www.wikidata.org/wiki/Q11982","display_name":"Photosynthesis","level":2,"score":0.25760456919670105},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.22167763113975525},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.15597516298294067},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.14403581619262695},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.13159224390983582},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.12714415788650513},{"id":"https://openalex.org/C110872660","wikidata":"https://www.wikidata.org/wiki/Q37813","display_name":"Ecosystem","level":2,"score":0.10767161846160889},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.09520179033279419},{"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/rs15051176","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15051176","pdf_url":"https://www.mdpi.com/2072-4292/15/5/1176/pdf?version=1677227969","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:eb280e6ed9c3405bbf1f0a0c5ea16468","is_oa":true,"landing_page_url":"https://doaj.org/article/eb280e6ed9c3405bbf1f0a0c5ea16468","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"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 15, Iss 5, p 1176 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/15/5/1176/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs15051176","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/rs15051176","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15051176","pdf_url":"https://www.mdpi.com/2072-4292/15/5/1176/pdf?version=1677227969","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":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4321499551.pdf"},"referenced_works_count":45,"referenced_works":["https://openalex.org/W367115991","https://openalex.org/W642104462","https://openalex.org/W1518503696","https://openalex.org/W1896386811","https://openalex.org/W1967559713","https://openalex.org/W1981122766","https://openalex.org/W1994224472","https://openalex.org/W2005487163","https://openalex.org/W2025424387","https://openalex.org/W2040437748","https://openalex.org/W2046857879","https://openalex.org/W2052648234","https://openalex.org/W2109039109","https://openalex.org/W2119370288","https://openalex.org/W2124437404","https://openalex.org/W2128288508","https://openalex.org/W2146453061","https://openalex.org/W2146652541","https://openalex.org/W2147423506","https://openalex.org/W2154700052","https://openalex.org/W2155152860","https://openalex.org/W2156043834","https://openalex.org/W2157441709","https://openalex.org/W2158897782","https://openalex.org/W2164574849","https://openalex.org/W2170966689","https://openalex.org/W2462841995","https://openalex.org/W2525892670","https://openalex.org/W2573457962","https://openalex.org/W2574299844","https://openalex.org/W2754895329","https://openalex.org/W2766496462","https://openalex.org/W2802251541","https://openalex.org/W2887922626","https://openalex.org/W2907203129","https://openalex.org/W2908975298","https://openalex.org/W2920688722","https://openalex.org/W2971653617","https://openalex.org/W2978485176","https://openalex.org/W3040739689","https://openalex.org/W3111380248","https://openalex.org/W4206049288","https://openalex.org/W4220922814","https://openalex.org/W4237123086","https://openalex.org/W4294365710"],"related_works":["https://openalex.org/W2967972856","https://openalex.org/W2547328587","https://openalex.org/W2142929729","https://openalex.org/W1997445416","https://openalex.org/W2004393310","https://openalex.org/W2056301837","https://openalex.org/W2119593427","https://openalex.org/W1623971219","https://openalex.org/W2132502033","https://openalex.org/W2068211455"],"abstract_inverted_index":{"The":[0,130],"light":[1],"use":[2],"efficiency":[3],"(LUE)":[4],"model":[5,116,232],"has":[6],"been":[7],"widely":[8],"used":[9],"in":[10,91,276],"regional":[11],"and":[12,28,53,138,140,156,161,167,197,205,207,213,224,234,266],"global":[13],"terrestrial":[14],"gross":[15],"primary":[16],"productivity":[17],"(GPP)":[18],"estimation":[19,50,183,251,265],"due":[20],"to":[21,54,88,127,228],"its":[22],"simple":[23],"structure,":[24],"few":[25],"input":[26,35],"parameters,":[27],"particular":[29],"theoretical":[30],"basis.":[31],"As":[32],"a":[33,68,107,254,268],"key":[34],"parameter":[36],"of":[37,51,57,83,124,185,191,241,263,274],"the":[38,41,48,55,58,80,100,121,176,221,229,239,245,261,272,277],"LUE":[39,43,59,278],"model,":[40],"maximum":[42],"(\u0190max)":[44],"is":[45],"crucial":[46],"for":[47,271],"accurate":[49],"GPP":[52,93,160,163,182,264],"interpretability":[56],"model.":[60,279],"Currently,":[61],"most":[62],"studies":[63],"have":[64],"assumed":[65],"\u0190max":[66,84,113,275],"as":[67],"universal":[69],"constant":[70],"or":[71],"constants":[72],"depending":[73],"on":[74],"vegetation":[75,125],"type,":[76],"which":[77,258],"means":[78],"that":[79,153,190],"spatiotemporal":[81,255],"dynamics":[82,142],"were":[85,164],"ignored,":[86],"leading":[87],"obvious":[89],"uncertainties":[90],"LUE-based":[92,193],"estimation.":[94],"Using":[95],"quality-screened":[96],"daily":[97],"data":[98],"from":[99],"FLUXNET":[101],"2015":[102],"dataset,":[103],"this":[104],"paper":[105],"proposed":[106],"photosynthetically":[108],"active":[109],"radiation":[110],"(PAR)-regulated":[111],"dynamic":[112,256],"(PAR-\u0190max,":[114],"corresponding":[115],"named":[117],"PAR-LUE)":[118],"by":[119,202,210],"considering":[120],"nonlinear":[122],"response":[123],"photosynthesis":[126],"solar":[128],"radiation.":[129],"PAR-LUE":[131,159,186,236],"was":[132,187],"compared":[133,227],"with":[134],"static":[135,230],"\u0190max-based":[136,143,231],"(MODIS":[137,233],"EC-LUE)":[139],"spatial":[141],"(D-VPM)":[144],"models":[145,194],"at":[146,175,220],"171":[147],"flux":[148],"sites.":[149],"Validation":[150],"results":[151],"showed":[152],"(1)":[154],"R2":[155,200],"RMSE":[157,208],"between":[158],"observed":[162],"0.65":[165],"(0.44)":[166],"2.55":[168],"(1.82)":[169],"g":[170,215],"C":[171,216],"m\u22122":[172,217],"MJ\u22121":[173,218],"d\u22121":[174,219],"8-day":[177],"(annual)":[178],"scale,":[179],"respectively;":[180],"(2)":[181],"accuracy":[184],"higher":[188],"than":[189],"other":[192],"(MODIS,":[195],"EC-LUE,":[196],"D-VPM),":[198],"specifically,":[199,226],"increased":[201],"29.41%,":[203],"2.33%,":[204],"12.82%,":[206],"decreased":[209],"0.36,":[211],"0.14,":[212],"0.34":[214],"annual":[222],"scale;":[223],"(3)":[225],"EC-LUE),":[235],"effectively":[237,259],"relieved":[238],"underestimation":[240],"high":[242],"GPP.":[243],"Overall,":[244],"newly":[246],"developed":[247],"PAR-\u0190max":[248],"provided":[249,267],"an":[250],"method":[252],"utilizing":[253],"\u0190max,":[257],"reduced":[260],"uncertainty":[262],"new":[269],"option":[270],"optimization":[273]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}