Lucas Perondi Kist in research grants and scholarships supported by FAPESP.
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There is a growing need for procedures and algorithms to help environmental remote sensing on the challenging tasks which arise every day. This project explores the employment and development of novel methodologies based on statistical deep learning. The aim is to detect changes in Earth`s surface using time series of remote sensing images. The rigorous adaptation of deep learning methodo…
The goal of this project is to develop a statistical spatio-temporal dependence model for dynamic risk mapping of forest fires in the southwestern Pará; as well as connecting the risk to proximity to highways, farmland and national parks. The model will be compared to those available in the literature.
| 1 / 1 | Ongoing scholarships in Brazil |
| 1 / 1 | Completed scholarships in Brazil |
| 2 / 2 | All Scholarships |
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