appelmar/gdalcubes
Creating and analyzing Earth observation data cubes in R
Cube++ is a novel dataset collected for illumination estimation problem. It has 4890 raw 18-megapixel images, each containing a SpyderCube color target in their scenes, manually labelled categories, and ground truth illumination chromaticities.
Creating and analyzing Earth observation data cubes in R
Training images for geostastical simulation
Colour Science for Python
This data set includes Landsat 8 images and their manually extracted pixel-level ground truths for cloud detection.
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
A flexible, high-performance 3D simulator for Embodied AI research.
2 captures since 2026-05-23