Current transformer-based change detection (CD) approaches either employ a pretrained
model trained on a large-scale image classification ImageNet dataset or rely on first …

In the eastern São Paulo state, Brazil, a disjoint tropical savanna (Cerrado) site occurs in
Vale do Paraíba Paulista. Considering the degradation of Cerrado in the region and that …

Initiatives to promote food security in relation to reducing food waste are of relevant for
sustainability on a global scale. Rural buildings involved in the production of poultry and …

Mapping of savannas in Brazil is challenging since there is no consensus on the best
remote sensing strategy to deal with the spatial variability of some physiognomies and the …

The study aims to analyse the long-term impacts of mining activities in Jharia coalfield (JCF)
on land-use (LU) patterns using transfer learning of the deep convolutional neural network …

Abstract The Brazilian savanna (Cerrado) is considered a hotspot for conservation. Despite
its environmental and social importance, the biome has suffered a rapid transformation …

Deforestation and degradation are among the main sources of climate-change-inducing
greenhouse gas emissions. Implementing sustainable forest management and conservation …

Change detection (CD) is a fundamental task in remote sensing (RS) which aims to detect
the semantic changes between the same geographical regions at different time stamps …

Clouds often appear in remote sensing images, which seriously affect the application of
remote sensing images. Therefore, cloud removal is an important preprocessing process in …

This paper presents a high-spatial-resolution dataset with remote sensing images of the
Brazilian Cerrado for land use and land cover classification. The Biome Cerrado Dataset …