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...

Full description

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

Similar Items

Similar Items