This project aims to provide composable Iterable-style and Map-style building blocks called DataPipes that work well out of the box with the PyTorch's DataLoader.
Earth-observation
- ESA has lots of free, online courses open that last a few weeks and are suitable for anyone. Learn how EO technology and data applications work, what the data looks like and how it can have an impact.
- This ebook teaches you the basics of remote sensing, aerial photos, satellites, preparing images for analysis, band transformation, image classification, and more.
- Landsat has been collecting information about Earth since 1972. The USGS Landsat archive now spans 50 years with over 10.3 million scenes. Learn more about downloading Landsat data here.
- Here you can find introductions and Jupyter Notebook examples on how to access Radiant MLHub API.
- This website provides a comprehensive and interactive catalog of reference benchmark datasets. Check it out here.
- This website aims to list all open-source (OS) Python libraries that can be used for doing various operations, analyses, visualizations etc. related to GIS and Earth Observation.
- Want to learn more about satellite imagery? Here you can find tutorials, user guides and examples of how you can use satellite imagery to analyze various phenomena and events around the globe.
- The AiTLAS toolbox includes state-of-the-art machine learning methods for exploratory and predictive analysis of satellite imagery as well as repository of AI-ready earth observation datasets.
- Actinia is an open source REST API for scalable, distributed, high performance processing of geographical data that mainly uses GRASS GIS for computational tasks. Learn more about it here.
