Near-real time deforestation detection in the Brazilian Amazon with Sentinel-1 and neural networks

Near-real time deforestation detection in the Brazilian Amazon with Sentinel-1 and neural networks

Optical-based near-real time deforestation alert systems in the Brazilian Amazon are ineffective in the rainy season. This study identify clear-cut deforested areas through Neural Network (NN) algorithm based on C-band, VV- and VH-polarized, Sentinel-1 images. Statistical parameters of backscatter c...

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Bibliographic Details
Main Authors: Claudia Arantes Silva, Giorgia Guerrisi, Fabio Del Frate, Edson Eyji Sano
Format: Article
Language:English
Published: Taylor & Francis Group 2022-12-01
Series:European Journal of Remote Sensing
Subjects:
amazon forest
neural network
mlp
multi-layer perceptron
time series analysis
change detection
near-real time deforestation detection
Online Access:http://dx.doi.org/10.1080/22797254.2021.2025154

Internet

http://dx.doi.org/10.1080/22797254.2021.2025154

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