{"id":"https://openalex.org/W2897799583","doi":"https://doi.org/10.1109/agro-geoinformatics.2018.8476037","title":"Evaluation of a Two-Source Energy Balance Model for Estimating Regional Land Surface Heat Fluxes During the HiWATER-MUSOEXE","display_name":"Evaluation of a Two-Source Energy Balance Model for Estimating Regional Land Surface Heat Fluxes During the HiWATER-MUSOEXE","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W2897799583","doi":"https://doi.org/10.1109/agro-geoinformatics.2018.8476037","mag":"2897799583"},"language":"en","primary_location":{"id":"doi:10.1109/agro-geoinformatics.2018.8476037","is_oa":false,"landing_page_url":"https://doi.org/10.1109/agro-geoinformatics.2018.8476037","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 7th International Conference on Agro-geoinformatics (Agro-geoinformatics)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5051674787","display_name":"Yongmin Yang","orcid":"https://orcid.org/0000-0002-2916-723X"},"institutions":[{"id":"https://openalex.org/I4210092032","display_name":"China Institute of Water Resources and Hydropower Research","ror":"https://ror.org/00m4czf33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210092032"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongmin Yang","raw_affiliation_strings":["State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing, China","institution_ids":["https://openalex.org/I4210092032"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108702553","display_name":"Shifeng Huang","orcid":"https://orcid.org/0009-0007-1360-7468"},"institutions":[{"id":"https://openalex.org/I4210092032","display_name":"China Institute of Water Resources and Hydropower Research","ror":"https://ror.org/00m4czf33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210092032"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shifeng Huang","raw_affiliation_strings":["State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing, China","institution_ids":["https://openalex.org/I4210092032"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100842053","display_name":"Jingfeng Xin","orcid":null},"institutions":[{"id":"https://openalex.org/I4210092032","display_name":"China Institute of Water Resources and Hydropower Research","ror":"https://ror.org/00m4czf33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210092032"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingfeng Xin","raw_affiliation_strings":["State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing, China","institution_ids":["https://openalex.org/I4210092032"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100661616","display_name":"Jianwei Ma","orcid":"https://orcid.org/0000-0002-9457-2872"},"institutions":[{"id":"https://openalex.org/I4210092032","display_name":"China Institute of Water Resources and Hydropower Research","ror":"https://ror.org/00m4czf33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210092032"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianwei Ma","raw_affiliation_strings":["State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing, China","institution_ids":["https://openalex.org/I4210092032"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004145814","display_name":"He Zhu","orcid":"https://orcid.org/0000-0001-9606-150X"},"institutions":[{"id":"https://openalex.org/I4210092032","display_name":"China Institute of Water Resources and Hydropower Research","ror":"https://ror.org/00m4czf33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210092032"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"He Zhu","raw_affiliation_strings":["State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing, China","institution_ids":["https://openalex.org/I4210092032"]}]},{"author_position":"last","author":{"id":null,"display_name":"Shen Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I4210092032","display_name":"China Institute of Water Resources and Hydropower Research","ror":"https://ror.org/00m4czf33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210092032"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shen Chen","raw_affiliation_strings":["State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing, China","institution_ids":["https://openalex.org/I4210092032"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210092032"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"48","issue":null,"first_page":"1","last_page":"5"},"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":0.9998999834060669,"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":0.9998999834060669,"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/T10766","display_name":"Urban Heat Island Mitigation","score":0.9962000250816345,"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/T10029","display_name":"Climate variability and models","score":0.9947999715805054,"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/evapotranspiration","display_name":"Evapotranspiration","score":0.825348973274231},{"id":"https://openalex.org/keywords/eddy-covariance","display_name":"Eddy covariance","score":0.7968965172767639},{"id":"https://openalex.org/keywords/advanced-spaceborne-thermal-emission-and-reflection-radiometer","display_name":"Advanced Spaceborne Thermal Emission and Reflection Radiometer","score":0.6546909809112549},{"id":"https://openalex.org/keywords/latent-heat","display_name":"Latent heat","score":0.6460815072059631},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.6267151236534119},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5863306522369385},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.5373844504356384},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5101761817932129},{"id":"https://openalex.org/keywords/watershed","display_name":"Watershed","score":0.4836041033267975},{"id":"https://openalex.org/keywords/energy-balance","display_name":"Energy balance","score":0.48206835985183716},{"id":"https://openalex.org/keywords/sensible-heat","display_name":"Sensible heat","score":0.4817764461040497},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.4458678662776947},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.36670446395874023},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1453147828578949},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1434864103794098},{"id":"https://openalex.org/keywords/ecosystem","display_name":"Ecosystem","score":0.11680299043655396},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1162145733833313},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.11042308807373047},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07932659983634949},{"id":"https://openalex.org/keywords/aerospace-engineering","display_name":"Aerospace engineering","score":0.07280811667442322},{"id":"https://openalex.org/keywords/digital-elevation-model","display_name":"Digital elevation model","score":0.07140856981277466}],"concepts":[{"id":"https://openalex.org/C176783924","wikidata":"https://www.wikidata.org/wiki/Q828158","display_name":"Evapotranspiration","level":2,"score":0.825348973274231},{"id":"https://openalex.org/C35187779","wikidata":"https://www.wikidata.org/wiki/Q5336709","display_name":"Eddy covariance","level":3,"score":0.7968965172767639},{"id":"https://openalex.org/C13772937","wikidata":"https://www.wikidata.org/wiki/Q298019","display_name":"Advanced Spaceborne Thermal Emission and Reflection Radiometer","level":3,"score":0.6546909809112549},{"id":"https://openalex.org/C58024561","wikidata":"https://www.wikidata.org/wiki/Q207721","display_name":"Latent heat","level":2,"score":0.6460815072059631},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.6267151236534119},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5863306522369385},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.5373844504356384},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5101761817932129},{"id":"https://openalex.org/C150547873","wikidata":"https://www.wikidata.org/wiki/Q947851","display_name":"Watershed","level":2,"score":0.4836041033267975},{"id":"https://openalex.org/C2777423268","wikidata":"https://www.wikidata.org/wiki/Q3663116","display_name":"Energy balance","level":2,"score":0.48206835985183716},{"id":"https://openalex.org/C59242433","wikidata":"https://www.wikidata.org/wiki/Q1480581","display_name":"Sensible heat","level":2,"score":0.4817764461040497},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.4458678662776947},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.36670446395874023},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1453147828578949},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1434864103794098},{"id":"https://openalex.org/C110872660","wikidata":"https://www.wikidata.org/wiki/Q37813","display_name":"Ecosystem","level":2,"score":0.11680299043655396},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1162145733833313},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.11042308807373047},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07932659983634949},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.07280811667442322},{"id":"https://openalex.org/C181843262","wikidata":"https://www.wikidata.org/wiki/Q640492","display_name":"Digital elevation model","level":2,"score":0.07140856981277466},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/agro-geoinformatics.2018.8476037","is_oa":false,"landing_page_url":"https://doi.org/10.1109/agro-geoinformatics.2018.8476037","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 7th International Conference on Agro-geoinformatics (Agro-geoinformatics)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W744625266","https://openalex.org/W1531638028","https://openalex.org/W1542036782","https://openalex.org/W1927818114","https://openalex.org/W1969801270","https://openalex.org/W1986254578","https://openalex.org/W2016044589","https://openalex.org/W2045239366","https://openalex.org/W2051798177","https://openalex.org/W2078595739","https://openalex.org/W2079285700","https://openalex.org/W2087325533","https://openalex.org/W2087478452","https://openalex.org/W2116779222","https://openalex.org/W2147611675","https://openalex.org/W2164254717","https://openalex.org/W2167453193","https://openalex.org/W2194496042","https://openalex.org/W2271610084","https://openalex.org/W2272201830","https://openalex.org/W2349131177","https://openalex.org/W2800265875","https://openalex.org/W4234228644","https://openalex.org/W4241819545","https://openalex.org/W4299847412","https://openalex.org/W7075736647"],"related_works":["https://openalex.org/W2133615664","https://openalex.org/W2163606831","https://openalex.org/W2036930708","https://openalex.org/W4296741931","https://openalex.org/W4379054598","https://openalex.org/W2890767331","https://openalex.org/W2015218468","https://openalex.org/W2093943074","https://openalex.org/W2789330073","https://openalex.org/W2992337937"],"abstract_inverted_index":{"Satellite":[0],"remote":[1],"sensing":[2],"provides":[3,59,155],"a":[4,84],"promising":[5],"way":[6],"to":[7,19,38,93,146],"obtain":[8],"regional":[9,21],"land":[10,34,67],"surface":[11,22,68],"variables":[12],"and":[13,66,70,74,110,121,137],"it":[14],"has":[15],"been":[16],"widely":[17],"used":[18],"estimate":[20],"heat":[23,112],"fluxes.":[24],"In":[25],"this":[26,153],"study,":[27],"an":[28],"enhanced":[29],"two-source":[30],"evapotranspiration":[31],"model":[32],"for":[33],"(ETEML)":[35],"was":[36,90],"applied":[37],"the":[39,72,95,138,159],"large-scale":[40],"campaign":[41],"of":[42,56,63,76,97,108,140,161],"Heihe":[43],"Watershed":[44],"Allied":[45],"Telemetry":[46],"Experimental":[47],"Research-Multi-Scale":[48],"Observation":[49],"Experiment":[50],"on":[51],"Evapotranspiration":[52],"(HiWATER-MUSOEXE)":[53],"in":[54],"northwest":[55],"China.":[57],"MUSOEXE":[58],"multi-scale":[60],"data":[61],"sets":[62],"meteorological":[64],"elements":[65],"parameters":[69],"facilitate":[71],"development":[73],"validation":[75],"ET":[77],"models":[78],"over":[79,163],"heterogeneous":[80],"surfaces.":[81],"Evaluation":[82],"with":[83,128,149],"remotely":[85],"sensed":[86],"dataset":[87],"from":[88,130],"ASTER":[89],"carried":[91],"out":[92],"assess":[94],"performance":[96,139,160],"ETEML.":[98],"The":[99],"result":[100],"shows":[101],"that":[102],"root":[103],"mean":[104],"square":[105],"errors":[106],"(RMSEs)":[107],"latent":[109],"sensible":[111],"fluxes":[113],"are":[114],"respectively":[115],"70":[116],"W/m":[117,123],"<sup":[118,124],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[119,125],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[120,126],"46":[122],"compared":[127,145],"observations":[129],"21":[131],"eddy":[132,133],"covariance":[134],"(EC)":[135],"system":[136],"ETEML":[141,162],"is":[142],"comparatively":[143],"reliable":[144],"published":[147],"studies":[148],"one-source":[150],"models.":[151],"Overall,":[152],"work":[154],"valuable":[156],"insights":[157],"into":[158],"semiarid":[164],"regions.":[165]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
