Forest Damage by Super Typhoon Rammasun and Post-Disturbance Recovery Using Landsat Imagery and the Machine-Learning Method

Forest Damage by Super Typhoon Rammasun and Post-Disturbance Recovery Using Landsat Imagery and the Machine-Learning Method

Typhoon Rammasun landed on the southern coastal region of Guangdong and Hainan Provinces on 18 July 2014, and is the strongest recorded typhoon since the 1970s in China. It caused enormous losses in human lives, property, and crop yields in two provinces; however, its impact on forests and subsequen...

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Bibliographic Details
Main Authors: Xu Zhang, Hongbo Jiao, Guangsheng Chen, Jianing Shen, Zihao Huang, Haiyan Luo
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Remote Sensing
Subjects:
typhoon
Rammasun
wind damage
damage severity
machine-learning
Landsat 8 imagery
Online Access:https://www.mdpi.com/2072-4292/14/15/3826

Internet

https://www.mdpi.com/2072-4292/14/15/3826

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