earth-observation

Techniques for deep learning with satellite & aerial imagery

Long list of geospatial tools and resources

TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data

🛰️ List of satellite image training datasets with annotations for computer vision and deep learning

GeoAI: Artificial Intelligence for Geospatial Data

Using StableDiffusion and ControlNet to generate synthetic aerial images

Earth observations, especially satellite data, have produced a wealth of methods and results in meeting global challenges, often presented in unstructured texts such as papers or reports. Accurate extraction of satellite and instrument entities from these unstructured texts can help to link and reuse Earth observation resources.

Google Earth Engine tool to generate multi-modal and multi-temporal datasets, including spatially and temporally aligned Sentinel-1 SAR data, Sentinel-2 multispectral data, weather and DEM-based data. A supplementary material for Paluba et al. 2024: "Identification of Optimal Sentinel-1 SAR Polarimetric Parameters for Forest Monitoring in Czechia