Our approach shows that it is possible to robustly map forest disturbances in tropical dry forests using Landsat time series.

We used annual time series of different spectral indices, summarized for three seasonal windows, and applied LandTrendr to temporally segment each time series.

Our approach shows that it is possible to robustly map forest disturbances in tropical dry forests using Landsat time series, and demonstrates the value of ...

Characterizing forest disturbances across the Argentine Dry Chaco based on Landsat time series ... disturbance and recovery using yearly Landsat time series ...

Characterizing forest disturbances across the Argentine Dry Chaco based on Landsat time series. Teresa De Marzo, Dirk Pflugmacher, Matthias Baumann, ...

This study mapped forest disturbance agents using Landsat time series data in tropical dry forests in Argentine. The authors used disturbance maps developed in ...

Apr 6, 2022 · Here, we apply an approach for attributing agents of forest disturbance across large areas of tropical dry forests, based on the Landsat image time series.

Here, we apply an approach for attributing agents of forest disturbance across large areas of tropical dry forests, based on the Landsat image time series.

Oct 2, 2023 · Argentina lost 51,409 km2 of its Chaco tree cover, surpassing the forest losses of Paraguay and Bolivia, and 40% of this loss was related to ...

In this study, we examined an approach for mapping deforestation, forest degradation, and recovery using disturbance types and tree canopy cover estimates