Awesome Sentinel
A curated list of awesome tools, tutorials, and APIs for accessing and processing Copernicus Sentinel satellite data.
What is Awesome Sentinel?
Awesome Sentinel is a curated, community-driven list of resources for working with data from the Copernicus Sentinel satellite missions. It compiles links to official data hubs, cloud providers, software tools, tutorials, and APIs to help users discover, access, download, and process Sentinel-1, Sentinel-2, Sentinel-3, and Sentinel-5P imagery. The project solves the problem of fragmented information by providing a single, organized reference point for the Earth observation ecosystem.
Earth observation scientists, geospatial data analysts, remote sensing researchers, and developers building applications that utilize free satellite imagery from the Copernicus program.
Developers and researchers choose Awesome Sentinel because it saves significant time otherwise spent searching for reliable tools and data sources. It offers a trusted, vetted collection maintained by the community, ensuring quality and relevance for anyone starting or advancing their work with Sentinel data.
Overview
curated list of awesome tools, tutorials and APIs for Copernicus Sentinel satellite data
Use Cases
Best For
- Finding official and mirror sources for downloading Copernicus Sentinel satellite data
- Discovering Python libraries and CLI tools for searching and downloading Sentinel imagery
- Locating web-based viewers and portals to visualize Sentinel-2 data with different band combinations
- Identifying atmospheric correction and cloud detection algorithms for Sentinel-2 processing
- Exploring cloud platforms (AWS, Google Cloud, Microsoft) that host Sentinel data for analysis
- Learning about derived products and applications like global mosaics and land cover maps built from Sentinel data
Not Ideal For
- Teams needing integrated, turnkey solutions for real-time Sentinel data processing and analysis
- Users seeking step-by-step tutorials or active community support for building custom applications
- Projects that require the absolute latest, unvetted tools or data sources not yet curated in the list
Pros & Cons
Pros
Lists official hubs, national mirrors, cloud providers, and DIAS, covering all major ways to access Sentinel data globally, as detailed in the Data Access section with over 20 links.
Curates Python libraries, CLI tools, and processing frameworks like SNAP and sen2r, tailored for Sentinel data handling, with examples such as sentinelsat for download and s2cloudless for cloud detection.
Maintained as part of the Awesome list ecosystem, ensuring resources are peer-reviewed and relevant for the EO community, as indicated by the Awesome badge and community contributions.
Includes resources for Sentinel-1, -2, -3, and -5P, addressing diverse remote sensing needs from SAR to atmospheric data, with tools and viewers specified for each mission in the Tools section.
Cons
As a static list, some links are marked inactive (e.g., RemotePixel Viewer), and updates depend on sporadic community contributions, risking link rot without active maintenance.
Provides only links to tools without tutorials or examples, leaving users to navigate documentation and integration challenges alone, which can be steep for beginners.
Does not rate or review the tools, so users must assess reliability and performance independently, which can be time-consuming and error-prone for complex workflows.
Frequently Asked Questions
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