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...

وصف كامل

التفاصيل البيبلوغرافية

المؤلفون الرئيسيون:	Ilham Jamaluddin, Tipajin Thaipisutikul, Ying-Nong Chen, Chi-Hung Chuang, Chih-Lin Hu
التنسيق:	Artigo
اللغة:	Inglês
منشور في:	MDPI AG 2021-12-01
سلاسل:	Remote Sensing
الموضوعات:	fully convolutional network convolutional long short-term memory (ConvLSTM) mangroves degradation Hurricane Irma Sentinel-2
الوصول للمادة أونلاين:	https://www.mdpi.com/2072-4292/13/24/5042
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!