Combination of remote sensing and Artificial Intelligence to detect degraded forests - a deep learning approach and expert-labeled Sentinel-2 data in Guinea

Detection of Degraded Forests in Guinea, West Africa, Using Convolutional Neural Networks and Sentinel-2 Time Series

International audience

Deep Seasonal Network for Remote Sensing Imagery Classification of Multi-Temporal Sentinel-2 Data

As a medium-resolution multi-temporal data source, Sentinel-2 data has the potential to match the pe

Deep learning in remote sensing: a review

Standing at the paradigm shift towards data-intensive science, machine learning techniques are becom

Ensemble Deep Learning Approach for Turbidity Prediction of Dooskal Lake Using Remote Sensing Data

Deep learning approach to detect and visualize sexual dimorphism in monomorphic species

International audience Sex recognition is facilitated by dimorphism in some traits. H

A data-driven remote sensing approach for VMS mineralization mapping: Integrating Sentinel-2 imagery with geology data in the Asmara Belt, Eritrea

Mineral resources play a critical role in the sustainable economic development of countries. In Erit