{"id":"https://openalex.org/W2055417532","doi":"https://doi.org/10.1109/igarss.2014.6946612","title":"Simulation of carbon flux of forest ecosystem by Biome-BGC and MODIS-PSN models","display_name":"Simulation of carbon flux of forest ecosystem by Biome-BGC and MODIS-PSN models","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W2055417532","doi":"https://doi.org/10.1109/igarss.2014.6946612","mag":"2055417532"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2014.6946612","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2014.6946612","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Geoscience and Remote Sensing Symposium","raw_type":"proceedings-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/A5110524761","display_name":"Min Yan","orcid":"https://orcid.org/0000-0002-5068-4215"},"institutions":[{"id":"https://openalex.org/I4210114891","display_name":"Institute of Forest Resource Information Techniques","ror":"https://ror.org/01h5d6x15","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114891","https://openalex.org/I4210128615","https://openalex.org/I4210134523"]},{"id":"https://openalex.org/I4210128615","display_name":"Chinese Academy of Forestry","ror":"https://ror.org/0360dkv71","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210128615","https://openalex.org/I4210134523"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Min Yan","raw_affiliation_strings":["Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing, P.R. China"],"affiliations":[{"raw_affiliation_string":"Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing, P.R. China","institution_ids":["https://openalex.org/I4210114891","https://openalex.org/I4210128615"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088404682","display_name":"Zengyuan Li","orcid":"https://orcid.org/0000-0001-9746-938X"},"institutions":[{"id":"https://openalex.org/I4210114891","display_name":"Institute of Forest Resource Information Techniques","ror":"https://ror.org/01h5d6x15","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114891","https://openalex.org/I4210128615","https://openalex.org/I4210134523"]},{"id":"https://openalex.org/I4210128615","display_name":"Chinese Academy of Forestry","ror":"https://ror.org/0360dkv71","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210128615","https://openalex.org/I4210134523"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zengyuan Li","raw_affiliation_strings":["Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing, P.R. China"],"affiliations":[{"raw_affiliation_string":"Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing, P.R. China","institution_ids":["https://openalex.org/I4210114891","https://openalex.org/I4210128615"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060742224","display_name":"Xin Tian","orcid":"https://orcid.org/0000-0001-7382-6776"},"institutions":[{"id":"https://openalex.org/I4210128615","display_name":"Chinese Academy of Forestry","ror":"https://ror.org/0360dkv71","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210128615","https://openalex.org/I4210134523"]},{"id":"https://openalex.org/I4210114891","display_name":"Institute of Forest Resource Information Techniques","ror":"https://ror.org/01h5d6x15","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114891","https://openalex.org/I4210128615","https://openalex.org/I4210134523"]},{"id":"https://openalex.org/I94624287","display_name":"University of Twente","ror":"https://ror.org/006hf6230","country_code":"NL","type":"education","lineage":["https://openalex.org/I94624287"]}],"countries":["CN","NL"],"is_corresponding":false,"raw_author_name":"Xin Tian","raw_affiliation_strings":["Faculty of Geo-Information Science and Earth Observation, University of Twente, Enschede, The Netherlands","Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing, P.R. China"],"affiliations":[{"raw_affiliation_string":"Faculty of Geo-Information Science and Earth Observation, University of Twente, Enschede, The Netherlands","institution_ids":["https://openalex.org/I94624287"]},{"raw_affiliation_string":"Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing, P.R. China","institution_ids":["https://openalex.org/I4210114891","https://openalex.org/I4210128615"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056366615","display_name":"Erxue Chen","orcid":"https://orcid.org/0000-0001-8172-274X"},"institutions":[{"id":"https://openalex.org/I4210114891","display_name":"Institute of Forest Resource Information Techniques","ror":"https://ror.org/01h5d6x15","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114891","https://openalex.org/I4210128615","https://openalex.org/I4210134523"]},{"id":"https://openalex.org/I4210128615","display_name":"Chinese Academy of Forestry","ror":"https://ror.org/0360dkv71","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210128615","https://openalex.org/I4210134523"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Erxue Chen","raw_affiliation_strings":["Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing, P.R. China"],"affiliations":[{"raw_affiliation_string":"Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing, P.R. China","institution_ids":["https://openalex.org/I4210114891","https://openalex.org/I4210128615"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044450794","display_name":"Wangfei Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I25399270","display_name":"Southwest Forestry University","ror":"https://ror.org/03dfa9f06","country_code":"CN","type":"education","lineage":["https://openalex.org/I25399270"]},{"id":"https://openalex.org/I4210114891","display_name":"Institute of Forest Resource Information Techniques","ror":"https://ror.org/01h5d6x15","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114891","https://openalex.org/I4210128615","https://openalex.org/I4210134523"]},{"id":"https://openalex.org/I4210128615","display_name":"Chinese Academy of Forestry","ror":"https://ror.org/0360dkv71","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210128615","https://openalex.org/I4210134523"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wangfei Zhang","raw_affiliation_strings":["College of Forestry, Southwest Forestry University, Beijing, P.R. China","Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing, P.R. China"],"affiliations":[{"raw_affiliation_string":"College of Forestry, Southwest Forestry University, Beijing, P.R. China","institution_ids":["https://openalex.org/I25399270"]},{"raw_affiliation_string":"Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing, P.R. China","institution_ids":["https://openalex.org/I4210114891","https://openalex.org/I4210128615"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102913171","display_name":"Yun Guo","orcid":"https://orcid.org/0000-0003-1563-7568"},"institutions":[{"id":"https://openalex.org/I4210114891","display_name":"Institute of Forest Resource Information Techniques","ror":"https://ror.org/01h5d6x15","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114891","https://openalex.org/I4210128615","https://openalex.org/I4210134523"]},{"id":"https://openalex.org/I4210128615","display_name":"Chinese Academy of Forestry","ror":"https://ror.org/0360dkv71","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210128615","https://openalex.org/I4210134523"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yun Guo","raw_affiliation_strings":["Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing, P.R. China"],"affiliations":[{"raw_affiliation_string":"Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing, P.R. China","institution_ids":["https://openalex.org/I4210114891","https://openalex.org/I4210128615"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100427221","display_name":"Chunmei Li","orcid":"https://orcid.org/0000-0001-8227-9719"},"institutions":[{"id":"https://openalex.org/I4210114891","display_name":"Institute of Forest Resource Information Techniques","ror":"https://ror.org/01h5d6x15","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210114891","https://openalex.org/I4210128615","https://openalex.org/I4210134523"]},{"id":"https://openalex.org/I25399270","display_name":"Southwest Forestry University","ror":"https://ror.org/03dfa9f06","country_code":"CN","type":"education","lineage":["https://openalex.org/I25399270"]},{"id":"https://openalex.org/I4210128615","display_name":"Chinese Academy of Forestry","ror":"https://ror.org/0360dkv71","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210128615","https://openalex.org/I4210134523"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunmei Li","raw_affiliation_strings":["College of Forestry, Southwest Forestry University, Beijing, P.R. China","Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing, P.R. China"],"affiliations":[{"raw_affiliation_string":"College of Forestry, Southwest Forestry University, Beijing, P.R. China","institution_ids":["https://openalex.org/I25399270"]},{"raw_affiliation_string":"Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing, P.R. China","institution_ids":["https://openalex.org/I4210114891","https://openalex.org/I4210128615"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5110524761"],"corresponding_institution_ids":["https://openalex.org/I4210114891","https://openalex.org/I4210128615"],"apc_list":null,"apc_paid":null,"fwci":0.6058,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.73093845,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"14","issue":null,"first_page":"1065","last_page":"1068"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9975000023841858,"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":0.9975000023841858,"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/T10266","display_name":"Plant Water Relations and Carbon Dynamics","score":0.9951000213623047,"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/T11588","display_name":"Atmospheric and Environmental Gas Dynamics","score":0.9929999709129333,"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/biome","display_name":"Biome","score":0.9145084619522095},{"id":"https://openalex.org/keywords/eddy-covariance","display_name":"Eddy covariance","score":0.7867486476898193},{"id":"https://openalex.org/keywords/flux","display_name":"Flux (metallurgy)","score":0.6219311356544495},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5605608820915222},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.47829896211624146},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.44090670347213745},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.41848501563072205},{"id":"https://openalex.org/keywords/ecosystem","display_name":"Ecosystem","score":0.37551772594451904},{"id":"https://openalex.org/keywords/atmospheric-sciences","display_name":"Atmospheric sciences","score":0.37040239572525024},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.36061614751815796},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2257806956768036},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.18403586745262146},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1822904348373413},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.16980063915252686},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.14760521054267883},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1343870460987091},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.10153833031654358}],"concepts":[{"id":"https://openalex.org/C89920630","wikidata":"https://www.wikidata.org/wiki/Q101998","display_name":"Biome","level":3,"score":0.9145084619522095},{"id":"https://openalex.org/C35187779","wikidata":"https://www.wikidata.org/wiki/Q5336709","display_name":"Eddy covariance","level":3,"score":0.7867486476898193},{"id":"https://openalex.org/C68709404","wikidata":"https://www.wikidata.org/wiki/Q1134475","display_name":"Flux (metallurgy)","level":2,"score":0.6219311356544495},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5605608820915222},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.47829896211624146},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.44090670347213745},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.41848501563072205},{"id":"https://openalex.org/C110872660","wikidata":"https://www.wikidata.org/wiki/Q37813","display_name":"Ecosystem","level":2,"score":0.37551772594451904},{"id":"https://openalex.org/C91586092","wikidata":"https://www.wikidata.org/wiki/Q757520","display_name":"Atmospheric sciences","level":1,"score":0.37040239572525024},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.36061614751815796},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2257806956768036},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.18403586745262146},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1822904348373413},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.16980063915252686},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.14760521054267883},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1343870460987091},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.10153833031654358},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2014.6946612","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2014.6946612","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6299999952316284,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1584031569","https://openalex.org/W1840265963","https://openalex.org/W1964712650","https://openalex.org/W2038137144","https://openalex.org/W2044707479","https://openalex.org/W2094762226","https://openalex.org/W2155570342","https://openalex.org/W2180426220","https://openalex.org/W2226648739","https://openalex.org/W6660137516"],"related_works":["https://openalex.org/W4286615886","https://openalex.org/W4242553968","https://openalex.org/W2001142214","https://openalex.org/W2639302552","https://openalex.org/W2113334618","https://openalex.org/W4283799071","https://openalex.org/W2117991499","https://openalex.org/W2033190556","https://openalex.org/W4251336608","https://openalex.org/W2108799804"],"abstract_inverted_index":{"An":[0],"approach":[1],"was":[2,41],"used":[3],"to":[4,30,75,99,109],"incorporate":[5],"the":[6,27,33,38,45,54,59,65,70,76,93,101,110,135,144,149],"forest":[7],"carbon":[8,145],"flux":[9],"for":[10],"Qilian":[11,39,150],"Mountains":[12],"by":[13,43],"ecological-process-based":[14],"model":[15,19],"(Biome-BGC),":[16],"and":[17,58,117,139],"remote-sensing-based":[18],"(MODIS-PSN).":[20],"The":[21,61],"calibration":[22],"phase,":[23],"aiming":[24],"at":[25],"setting":[26],"ecophysiological":[28],"parameters":[29],"effectively":[31,107],"simulate":[32],"daily":[34,104],"GPP":[35,48,71,105],"behavior":[36,72,106],"of":[37,103,137],"Mountains,":[40],"proceeded":[42],"adjusting":[44],"8":[46],"day":[47],"outputs":[49],"obtained":[50],"from":[51],"Biome-BGC":[52,95,138],"using":[53],"optimized":[55,66,140],"MODIS-PSN":[56,67,141],"algorithm":[57],"observations.":[60],"results":[62],"showed":[63],"that":[64,134],"could":[68,142],"describe":[69],"faithfully":[73],"comparing":[74,108],"eddy":[77,111],"covariance-observed":[78,112],"GPPs,":[79,113],"with":[80],"R":[81,120],"<sup":[82,87,121,128],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[83,88,122,129],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[84,89,123,130],"=0.77,":[85],"RMSE=6.219gC/m":[86],"/8d.":[90],"After":[91],"validation,":[92],"calibrated":[94],"has":[96],"been":[97],"proved":[98],"estimate":[100],"performances":[102],"especially":[114],"in":[115],"summer":[116],"winter":[118],"(with":[119],"=":[124],"0.76,":[125],"RMSE=":[126],"1.3115gC/m":[127],"/d),":[131],"which":[132],"illustrated":[133],"combination":[136],"express":[143],"fluxes":[146],"well":[147],"over":[148],"Mountains.":[151]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}