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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Detalles Bibliográficos

Principais autores:	Ilham Jamaluddin, Tipajin Thaipisutikul, Ying-Nong Chen, Chi-Hung Chuang, Chih-Lin Hu
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2021-12-01
Series:	Remote Sensing
Assuntos:	fully convolutional network convolutional long short-term memory (ConvLSTM) mangroves degradation Hurricane Irma Sentinel-2
Acceso en liña:	https://www.mdpi.com/2072-4292/13/24/5042
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