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.
Appears on
Quick read
Latest capture 2026-09-03 03:04
0 paths
Agent instructions and tool configuration found in this repository.
No config files detected.
7 observed captures since 2026-05-23. Observed captures are shown by default.
Stars from first capture +2
Observed captures only
All tracked data
Observed snapshots
Observed snapshots
Nearest indexed repositories by embedding similarity.
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.