if you use this dataset please cite the following paper: GAZADeepDav: A High Resolution Geotagged Satellite Imagery Dataset For Analyzing War-Induced Damage M. Bouabid and M. Farah, "GAZADeepD
This repository contains analysis scripts, DRAMA/OSCAR simulation outputs, and supporting input files used to generate the figures and satellite lifetime estimates presented in the manuscript “The
This dataset consists of 375 high-resolution visible-spectrum (RGB) and 375 thermal infrared (TIR) images of a vineyard (Vitis vinifera L.) captured by a Unmanned Aerial Vehicle (UAV) carrying TIR and
Description Road development in the Congo Basin forest is continuously monitored from 2019 onwards in high spatial and temporal detail. A deep learning method is applied to 10 m scale Sentinel-1 and
