The synergistic combination of deep learning (DL) models and Earth observation (EO)
promises significant advances to support the Sustainable Development Goals (SDGs). New …

An attention mechanism assigns different weights to different features to help a model select
the features most valuable for accurate classification. However, the traditional attention …

A vital and rapidly growing application, remote sensing offers vast yet sparsely labeled,
spatially aligned multimodal data; this makes self-supervised learning algorithms invaluable …

Abstract The Brazilian Savannah, or Cerrado, has gained vital importance in the discussions
about sustainable land development after the conversion of half of its natural vegetation. For …

Jordan is witnessing major transformations in its environmental and topographic features,
where the desert dominates a large part of the territory, with very limited forest areas. Over …

Monitoring changes in tree cover for assessment of deforestation is a premise for policies to
reduce carbon emission in the tropics. Here, a U-net deep learning model was used to map …

Deforestation is a global change driver that contributes to atmospheric carbon emissions,
causes biodiversity loss and ecosystem services degradation. Usually, this process has …

In domains ranging from computer vision to natural language processing, machine learning
models have been shown to exhibit stark disparities, often performing worse for members of …

The Amazon rainforest spreads across nine countries and covers nearly one-third of South
America, being 69% inside Brazilian borders. It represents more than half of the remaining …

Previous studies indicate that the shadow economy is truly an environmental foe, with
positive linkages with energy intensity, air pollution, and emissions. This study extends the …