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    Part II: Lessons Learned from Predicting Wildfire Occurrence for CONUS Using Deep Learning and Fire Weather Variables

    Source: Artificial Intelligence for the Earth Systems:;2024:;volume( 003 ):;issue: 003
    Author:
    Earnest, Bethany L.
    ,
    McGovern, Amy
    ,
    Karstens, Christopher
    ,
    Jirak, Israel
    DOI: 10.1175/AIES-D-23-0058.1
    Publisher: American Meteorological Society
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      Part II: Lessons Learned from Predicting Wildfire Occurrence for CONUS Using Deep Learning and Fire Weather Variables

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4299690
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    contributor authorEarnest, Bethany L.
    contributor authorMcGovern, Amy
    contributor authorKarstens, Christopher
    contributor authorJirak, Israel
    date accessioned2024-12-24T13:50:00Z
    date available2024-12-24T13:50:00Z
    date copyright01 Jul. 2024
    date issued2024
    identifier otheraies-AIES-D-23-0058.1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4299690
    languageEnglish
    publisherAmerican Meteorological Society
    titlePart II: Lessons Learned from Predicting Wildfire Occurrence for CONUS Using Deep Learning and Fire Weather Variables
    typeJournal Paper
    journal volume3
    journal issue3
    journal titleArtificial Intelligence for the Earth Systems
    identifier doi10.1175/AIES-D-23-0058.1
    journal lastpagee230058
    treeArtificial Intelligence for the Earth Systems:;2024:;volume( 003 ):;issue: 003
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian