Deforestation Detection with Fully Convolutional Networks in the Amazon Forest from Landsat-8 and Sentinel-2 Images

Deforestation Detection with Fully Convolutional Networks in the Amazon Forest from Landsat-8 and Sentinel-2 Images

The availability of remote-sensing multisource data from optical-based satellite sensors has created new opportunities and challenges for forest monitoring in the Amazon Biome. In particular, change-detection analysis has emerged in recent decades to monitor forest-change dynamics, supporting some B...

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Bibliographic Details
Main Authors:	Daliana Lobo Torres, Javier Noa Turnes, Pedro Juan Soto Vega, Raul Queiroz Feitosa, Daniel E. Silva, Jose Marcato Junior, Claudio Almeida
Format:	Article
Language:	English
Published:	MDPI AG 2021-12-01
Series:	Remote Sensing
Subjects:	Amazon biome change detection deep learning fully convolutional neural networks remote sensing semantic segmentation
Online Access:	https://www.mdpi.com/2072-4292/13/24/5084

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