MDPrePost-Net: A Spatial-Spectral-Temporal Fully Convolutional Network for Mapping of Mangrove Degradation Affected by Hurricane Irma 2017 Using Sentinel-2 Data

Mangroves are grown in intertidal zones along tropical and subtropical climate areas, which have many benefits for humans and ecosystems. The knowledge of mangrove conditions is essential to know the statuses of mangroves. Recently, satellite imagery has been widely used to generate mangrove and deg...

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Autors principals:	Ilham Jamaluddin, Tipajin Thaipisutikul, Ying-Nong Chen, Chi-Hung Chuang, Chih-Lin Hu
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2021-12-01
Col·lecció:	Remote Sensing
Matèries:	fully convolutional network convolutional long short-term memory (ConvLSTM) mangroves degradation Hurricane Irma Sentinel-2
Accés en línia:	https://www.mdpi.com/2072-4292/13/24/5042
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