{"id":"https://openalex.org/W2986806287","doi":"https://doi.org/10.1109/igarss.2019.8899249","title":"A Comprehensive Assessment of Modis-Derived Instantaneous Net Surface Shortwave Radiation using the in-Situ Fluxnet Database","display_name":"A Comprehensive Assessment of Modis-Derived Instantaneous Net Surface Shortwave Radiation using the in-Situ Fluxnet Database","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2986806287","doi":"https://doi.org/10.1109/igarss.2019.8899249","mag":"2986806287"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2019.8899249","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2019.8899249","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium","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/A5067130524","display_name":"Wangmin Ying","orcid":"https://orcid.org/0000-0002-6707-3007"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210160793","display_name":"Institute of Geographic Sciences and Natural Resources Research","ror":"https://ror.org/04t1cdb72","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210160793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wangmin Ying","raw_affiliation_strings":["State Key Laboratory of Resources and Environment Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Resources and Environment Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210160793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101470718","display_name":"Ruibo Wang","orcid":"https://orcid.org/0009-0004-5077-3543"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210160793","display_name":"Institute of Geographic Sciences and Natural Resources Research","ror":"https://ror.org/04t1cdb72","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210160793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruibo Wang","raw_affiliation_strings":["State Key Laboratory of Resources and Environment Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Resources and Environment Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210160793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084387172","display_name":"Lu Niu","orcid":"https://orcid.org/0000-0002-4073-7264"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210160793","display_name":"Institute of Geographic Sciences and Natural Resources Research","ror":"https://ror.org/04t1cdb72","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210160793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lu Niu","raw_affiliation_strings":["State Key Laboratory of Resources and Environment Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Resources and Environment Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210160793"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010975608","display_name":"Hua Wu","orcid":"https://orcid.org/0000-0002-5982-8422"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210160793","display_name":"Institute of Geographic Sciences and Natural Resources Research","ror":"https://ror.org/04t1cdb72","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210160793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hua Wu","raw_affiliation_strings":["State Key Laboratory of Resources and Environment Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Resources and Environment Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210160793"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18504966,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"82","issue":null,"first_page":"1872","last_page":"1875"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10347","display_name":"Atmospheric aerosols and clouds","score":0.996999979019165,"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/T10347","display_name":"Atmospheric aerosols and clouds","score":0.996999979019165,"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":0.9961000084877014,"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/T10466","display_name":"Meteorological Phenomena and Simulations","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5777159333229065},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49770668148994446},{"id":"https://openalex.org/keywords/shortwave-radiation","display_name":"Shortwave radiation","score":0.48366579413414},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37455520033836365},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.353742778301239},{"id":"https://openalex.org/keywords/radiation","display_name":"Radiation","score":0.34535813331604004},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32867586612701416},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.2726701498031616},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.15676799416542053},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09210565686225891}],"concepts":[{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5777159333229065},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49770668148994446},{"id":"https://openalex.org/C19369268","wikidata":"https://www.wikidata.org/wiki/Q7502259","display_name":"Shortwave radiation","level":3,"score":0.48366579413414},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37455520033836365},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.353742778301239},{"id":"https://openalex.org/C153385146","wikidata":"https://www.wikidata.org/wiki/Q18335","display_name":"Radiation","level":2,"score":0.34535813331604004},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32867586612701416},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.2726701498031616},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.15676799416542053},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09210565686225891}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2019.8899249","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2019.8899249","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/6","display_name":"Clean water and sanitation","score":0.5899999737739563}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1605688901","https://openalex.org/W1809549812","https://openalex.org/W1930624869","https://openalex.org/W2019669012","https://openalex.org/W2022625409","https://openalex.org/W2048175578","https://openalex.org/W2116853641","https://openalex.org/W2141051504","https://openalex.org/W2144630956","https://openalex.org/W2294784510","https://openalex.org/W2338049369","https://openalex.org/W2513196216","https://openalex.org/W2791827521","https://openalex.org/W2792425820","https://openalex.org/W2901805810","https://openalex.org/W4214926090","https://openalex.org/W6640462745","https://openalex.org/W6697097097"],"related_works":["https://openalex.org/W2051487156","https://openalex.org/W2023477628","https://openalex.org/W2073681303","https://openalex.org/W2053286651","https://openalex.org/W4294626649","https://openalex.org/W2181743346","https://openalex.org/W2187401768","https://openalex.org/W3210381770","https://openalex.org/W2181413294","https://openalex.org/W1552730345"],"abstract_inverted_index":{"Net":[0],"Surface":[1],"Shortwave":[2],"Radiation":[3],"(NSSR)":[4],"is":[5,30],"a":[6,33],"key":[7],"component":[8],"of":[9,27,38,43,72,92,101,132],"the":[10,16,50,63,66,102,147],"surface":[11],"radiation":[12],"budget,":[13],"which":[14],"controls":[15],"energy,":[17],"water":[18],"exchanges,":[19],"and":[20,35,90,108,154],"many":[21],"physical":[22],"processes.":[23],"The":[24,105],"primary":[25],"purpose":[26],"this":[28],"study":[29],"to":[31,61,97,141],"build":[32],"concise":[34,152],"feasible":[36],"model":[37,64,86],"estimating":[39],"NSSR":[40,112,134],"with":[41,65,135],"data":[42],"Moderate":[44],"Resolution":[45],"Imaging":[46],"Spectroradiometer":[47],"(MODIS)":[48],"onboard":[49],"Terra":[51],"satellite.":[52],"Random":[53],"Forest":[54],"(RF)":[55],"machine":[56],"learning":[57],"method":[58,137,145],"was":[59],"applied":[60],"building":[62],"FULXNET":[67],"in":[68,76,84,113,146],"situ":[69],"observations":[70],"because":[71],"its":[73,151],"powerful":[74],"ability":[75],"nonlinear":[77],"fitting.":[78],"Total":[79],"17":[80],"variables":[81],"are":[82,121],"considered":[83],"RF":[85,136],"for":[87],"retrieving":[88],"NSSR,":[89],"thousands":[91],"parameters":[93,100],"combinations":[94],"were":[95],"carried":[96],"obtained":[98],"optimal":[99],"proposed":[103],"model.":[104],"Bias,":[106],"RMSE,":[107],"R2of":[109],"estimated":[110],"instantaneous":[111,133],"95":[114],"selected":[115],"sites":[116],"during":[117],"2014":[118],"whole":[119],"year":[120],"-0.085":[122],"W":[123,126],"m-2,":[124],"28.274":[125],"m-2and":[127],"0.989,":[128],"respectively.":[129],"Consequently,":[130],"retrieval":[131],"would":[138],"be":[139,142],"believed":[140],"an":[143],"efficient":[144],"future":[148],"by":[149],"considering":[150],"process":[153],"great":[155],"accuracy.":[156]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}