{"id":"https://openalex.org/W4400646959","doi":"https://doi.org/10.1109/tgrs.2024.3427785","title":"An Improved Deep-Learning-Based Precipitation Estimation Algorithm Using Multitemporal GOES-16 Images","display_name":"An Improved Deep-Learning-Based Precipitation Estimation Algorithm Using Multitemporal GOES-16 Images","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4400646959","doi":"https://doi.org/10.1109/tgrs.2024.3427785"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2024.3427785","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3427785","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-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/A5076808723","display_name":"Guangyi Ma","orcid":"https://orcid.org/0000-0003-1042-319X"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangyi Ma","raw_affiliation_strings":["School of Electronics and Information Engineering, Nanjing University of Information Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-1042-319X","affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077905824","display_name":"Linglong Zhu","orcid":"https://orcid.org/0000-0002-8863-9911"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Linglong Zhu","raw_affiliation_strings":["School of Internet of Things Engineering, Wuxi University, Wuxi, China"],"raw_orcid":"https://orcid.org/0000-0002-8863-9911","affiliations":[{"raw_affiliation_string":"School of Internet of Things Engineering, Wuxi University, Wuxi, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077369098","display_name":"Yonghong Zhang","orcid":"https://orcid.org/0000-0003-3011-3113"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yonghong Zhang","raw_affiliation_strings":["School of Automation, Nanjing University of Information Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-3011-3113","affiliations":[{"raw_affiliation_string":"School of Automation, Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103886824","display_name":"Jie Huang","orcid":"https://orcid.org/0000-0001-8211-3866"},"institutions":[{"id":"https://openalex.org/I4210138501","display_name":"Chinese Academy of Agricultural Sciences","ror":"https://ror.org/0313jb750","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210127390","https://openalex.org/I4210138501","https://openalex.org/I4210151987"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Huang","raw_affiliation_strings":["East China Centre for Agricultural Science and Technology, Chinese Academy of Agricultural Sciences, Changzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-8211-3866","affiliations":[{"raw_affiliation_string":"East China Centre for Agricultural Science and Technology, Chinese Academy of Agricultural Sciences, Changzhou, China","institution_ids":["https://openalex.org/I4210138501"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101600614","display_name":"Qi Liu","orcid":"https://orcid.org/0000-0002-8485-3582"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Liu","raw_affiliation_strings":["School of Software, Nanjing University of Information Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-8485-3582","affiliations":[{"raw_affiliation_string":"School of Software, Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059323330","display_name":"Kenny Thiam Choy Lim Kam Sian","orcid":"https://orcid.org/0000-0002-8328-8745"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kenny Thiam Choy Lim Kam Sian","raw_affiliation_strings":["School of Atmospheric Science and Remote Sensing, Wuxi University, Wuxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Atmospheric Science and Remote Sensing, Wuxi University, Wuxi, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3562,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.76829672,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"62","issue":null,"first_page":"1","last_page":"17"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11234","display_name":"Precipitation Measurement and Analysis","score":0.9810000061988831,"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"}},"topics":[{"id":"https://openalex.org/T11234","display_name":"Precipitation Measurement and Analysis","score":0.9810000061988831,"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"}},{"id":"https://openalex.org/T10466","display_name":"Meteorological Phenomena and Simulations","score":0.9488000273704529,"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"}},{"id":"https://openalex.org/T10930","display_name":"Flood Risk Assessment and Management","score":0.9025999903678894,"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/computer-science","display_name":"Computer science","score":0.6324003338813782},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5179499387741089},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4863170087337494},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.46233153343200684},{"id":"https://openalex.org/keywords/precipitation","display_name":"Precipitation","score":0.4334673285484314},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3501151502132416},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34210240840911865},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.19750729203224182},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.1378512978553772}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6324003338813782},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5179499387741089},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4863170087337494},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.46233153343200684},{"id":"https://openalex.org/C107054158","wikidata":"https://www.wikidata.org/wiki/Q25257","display_name":"Precipitation","level":2,"score":0.4334673285484314},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3501151502132416},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34210240840911865},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.19750729203224182},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.1378512978553772},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2024.3427785","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3427785","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","score":0.7799999713897705,"id":"https://metadata.un.org/sdg/13"}],"awards":[{"id":"https://openalex.org/G3256866207","display_name":null,"funder_award_id":"2021YFE0116900","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G5412665680","display_name":null,"funder_award_id":"42175157","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation 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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W65738273","https://openalex.org/W1522734439","https://openalex.org/W1586730761","https://openalex.org/W1677182931","https://openalex.org/W1686810756","https://openalex.org/W1901129140","https://openalex.org/W1978773894","https://openalex.org/W1983364832","https://openalex.org/W1995281172","https://openalex.org/W1995622703","https://openalex.org/W2022548072","https://openalex.org/W2034563918","https://openalex.org/W2038531849","https://openalex.org/W2048046425","https://openalex.org/W2059116274","https://openalex.org/W2064004229","https://openalex.org/W2090867837","https://openalex.org/W2094653192","https://openalex.org/W2099270539","https://openalex.org/W2101394945","https://openalex.org/W2119803205","https://openalex.org/W2139347645","https://openalex.org/W2154610488","https://openalex.org/W2165317219","https://openalex.org/W2194310208","https://openalex.org/W2222638777","https://openalex.org/W2293078015","https://openalex.org/W2553594924","https://openalex.org/W2559001317","https://openalex.org/W2560268323","https://openalex.org/W2565639579","https://openalex.org/W2614464134","https://openalex.org/W2689045665","https://openalex.org/W2707890836","https://openalex.org/W2784731895","https://openalex.org/W2792465991","https://openalex.org/W2800330446","https://openalex.org/W2899762099","https://openalex.org/W2900303043","https://openalex.org/W2911001330","https://openalex.org/W2977666392","https://openalex.org/W2979652911","https://openalex.org/W2983775085","https://openalex.org/W2984819106","https://openalex.org/W2997481471","https://openalex.org/W3023506241","https://openalex.org/W3082059999","https://openalex.org/W3096052669","https://openalex.org/W3107195989","https://openalex.org/W3209599534","https://openalex.org/W3210169729","https://openalex.org/W4292651749","https://openalex.org/W4312901050","https://openalex.org/W6604254268","https://openalex.org/W6637373629","https://openalex.org/W6682889407","https://openalex.org/W6684191040","https://openalex.org/W6739917289"],"related_works":["https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W4375867731","https://openalex.org/W2053286651","https://openalex.org/W2181743346","https://openalex.org/W2611989081","https://openalex.org/W2187401768","https://openalex.org/W2181413294","https://openalex.org/W2989452537","https://openalex.org/W2364982659"],"abstract_inverted_index":{"A":[0],"near-real-time":[1],"precipitation":[2,56,127],"estimation":[3],"product":[4],"derived":[5],"from":[6,73,125],"geosynchronous":[7],"Earth-orbiting":[8],"(GEO)":[9],"satellite":[10,67,138],"data":[11],"is":[12,90,114],"highly":[13],"desirable":[14],"due":[15],"to":[16,19,43,92,118,130,156,215,220,245],"its":[17],"ability":[18],"provide":[20],"extensive":[21],"coverage":[22],"with":[23],"high":[24],"spatial":[25],"and":[26,189,197],"temporal":[27],"resolution.":[28],"This":[29],"research":[30],"presents":[31],"a":[32,39,59,80,106,165],"novel":[33,107],"Deep-Learning-based":[34],"Precipitation":[35],"Estimation":[36],"algorithm":[37,179,240],"using":[38],"Multi-SpatioTemporal":[40],"network":[41],"(DLPE-MST),":[42],"investigate":[44],"the":[45,96,120,132,135,141,150,210,216,224,231,251],"potential":[46,228],"of":[47,61,122,134,147,152,184,186,195,203,233,250],"Geostationary":[48],"Operational":[49],"Environmental":[50],"Satellite-16":[51],"(GOES-16)":[52],"multitemporal":[53],"images":[54,68,139],"in":[55,182,229],"estimation.":[57],"First,":[58],"series":[60],"Advanced":[62],"Baseline":[63],"Imager":[64],"(ABI)":[65],"bispectral":[66],"(6.19":[69],"and$10.35~\\mu":[70],"\\text":[71],"{m}$)":[72],"GOES-16":[74,137],"are":[75,154,213],"used":[76],"as":[77],"inputs.":[78],"Second,":[79],"module":[81],"based":[82],"on":[83],"3-D":[84],"convolutional":[85],"neural":[86],"networks":[87],"(3-D":[88],"CNNs)":[89],"proposed":[91,115],"be":[93],"embedded":[94],"into":[95],"DLPE-MST":[97,117,211],"for":[98,116],"extracting":[99],"motion":[100],"features":[101],"within":[102],"rainfall":[103,162,205,252],"areas.":[104],"Third,":[105],"loss":[108],"function,":[109],"separated":[110],"domain":[111],"error":[112],"(SDE),":[113],"mitigate":[119],"issue":[121],"underestimation":[123,232],"arising":[124],"imbalanced":[126],"datasets.":[128],"Finally,":[129],"assess":[131],"feasibility":[133],"DLPE-MST,":[136],"covering":[140],"eastern":[142],"Continental":[143],"United":[144],"States":[145],"(CONUS)":[146],"America":[148],"during":[149],"summer":[151],"2020\u20132021":[153],"utilized":[155],"generate":[157,246],"raster":[158,248],"maps":[159],"depicting":[160],"hourly":[161],"rates":[163],"at":[164],"resolution":[166],"of$":[167],"0.04^{\\circ":[168,171],"}":[169],"\\times":[170],"}$.":[172],"The":[173,200],"experimental":[174],"results":[175],"indicate":[176],"that":[177,209],"our":[178],"outperforms":[180],"others":[181],"terms":[183],"probability":[185],"detection":[187],"(POD)":[188],"correlation":[190],"coefficient":[191],"(CC),":[192],"achieving":[193],"scores":[194],"91.79%":[196],"0.58,":[198],"respectively.":[199],"statistical":[201],"analysis":[202],"multiple":[204],"events":[206],"also":[207],"demonstrates":[208],"outputs":[212],"closer":[214],"ground":[217],"truth":[218],"compared":[219],"other":[221],"products.":[222],"Furthermore,":[223],"SDE":[225],"shows":[226],"significant":[227],"alleviating":[230],"heavy":[234],"rain":[235],"events.":[236],"After":[237],"testing,":[238],"this":[239],"takes":[241],"only":[242],"0.09":[243],"s":[244],"one":[247],"map":[249],"rate.":[253]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}
