Expandable Datasets for Earth Observation
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Updated
Oct 6, 2026 - Jupyter Notebook
Expandable Datasets for Earth Observation
Pigment based painting analysis and editing
Minerva project includes the minerva package that aids in the fitting and testing of neural network models. Includes pre and post-processing of land cover data. Designed for use with torchgeo datasets.
Geospatial (Sentinel2 Multi-Spectral) support for fastai
Project made at the IGN research center, for multispectral photogrammetry.
eCognition algorithm based in multi-spectral luminosity and shape for classifying weeds.
Visualize multi-spectral satellite imagery and detect clouds using simple spectral rules. Outputs include RGB, NDVI, cloud masks, and cloud-masked imagery across 5 scenes. Built with Python and Google Colab.
SSFR Software Package
eCognition algorithm based in multi-spectral luminosity and shape for classifying weeds.
To associate your repository with the multi-spectral topic, visit your repo's landing page and select "manage topics."