Impact Assessments of Typhoon Lekima on Forest Damages in Subtropical China Using Machine Learning Methods and Landsat 8 OLI Imagery

Impact Assessments of Typhoon Lekima on Forest Damages in Subtropical China Using Machine Learning Methods and Landsat 8 OLI Imagery

Wind damage is one of the major factors affecting forest ecosystem sustainability, especially in the coastal region. Typhoon Lekima is among the top five most devastating typhoons in China and caused economic losses totaling over USD 8 billion in Zhejiang Province alone during 9–12 August 2019. Howe...

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Bibliographic Details
Main Authors: Xu Zhang, Guangsheng Chen, Lingxiao Cai, Hongbo Jiao, Jianwen Hua, Xifang Luo, Xinliang Wei
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Sustainability
Subjects:
damage severity
typhoon
hurricane
random forest
vegetation index
Online Access:https://www.mdpi.com/2071-1050/13/9/4893

Internet

https://www.mdpi.com/2071-1050/13/9/4893

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