Change Detection of Selective Logging in the Brazilian Amazon Using X-Band SAR Data and Pre-Trained Convolutional Neural Networks

Change Detection of Selective Logging in the Brazilian Amazon Using X-Band SAR Data and Pre-Trained Convolutional Neural Networks

It is estimated that, in the Brazilian Amazon, forest degradation contributes three times more than deforestation for the loss of gross above-ground biomass. Degradation, in particular those caused by selective logging, result in features whose detection is a challenge to remote sensing, due to its...

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Bibliographic Details
Main Authors: Tahisa Neitzel Kuck, Paulo Fernando Ferreira Silva Filho, Edson Eyji Sano, Polyanna da Conceição Bispo, Elcio Hideiti Shiguemori, Ricardo Dalagnol
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Remote Sensing
Subjects:
selective logging
synthetic aperture radar
convolutional neural networks
Online Access:https://www.mdpi.com/2072-4292/13/23/4944

Internet

https://www.mdpi.com/2072-4292/13/23/4944

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