Abstract:
Nowadays, several methodologies allow disturbance detection in tropical forests with good results. On the other hand, subtropical forests represent a challenger as the ro...Show MoreMetadata
Abstract:
Nowadays, several methodologies allow disturbance detection in tropical forests with good results. On the other hand, subtropical forests represent a challenger as the robustness of these tools can be reduced by seasonality. In this work, we test three disturbance detection methods to assess their performance in a biome with a dry season like the Argentinean dry Chaco forest. We focused on the evaluation of both the accuracy and the number of hits by type of disturbance. The methods show acceptable accuracy values for the complexity of the problem and proved to be a very useful tool as a proxy of deforestation.
Date of Conference: 16-21 July 2023
Date Added to IEEE Xplore: 20 October 2023
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Funding Agency:
Instituto de Clima y Agua - INTA
Instituto de Clima y Agua - INTA
Instinto de Ecología Regional (UNT-CONICET)
Facultad de Agronomía, Universidad de Buenos Aires, Argentina
Instituto de Clima y Agua - INTA
Facultad de Agronomía, Universidad de Buenos Aires, Argentina
Instinto de Ecología Regional (UNT-CONICET)
Instituto de Clima y Agua - INTA
Instituto de Clima y Agua - INTA
Instinto de Ecología Regional (UNT-CONICET)
Facultad de Agronomía, Universidad de Buenos Aires, Argentina
Instituto de Clima y Agua - INTA
Facultad de Agronomía, Universidad de Buenos Aires, Argentina
Instinto de Ecología Regional (UNT-CONICET)