This repository is a curated list of resources for Earth Observation (EO) and geospatial data processing, targeting engineers, researchers, and practitioners in the field. It aims to consolidate tools, tutorials, code, and projects, providing a comprehensive reference for those working with satellite imagery and geospatial analysis.

How It Works

The list is organized thematically, covering various aspects of Earth Observation, from introductory materials and core processing libraries like GDAL to specialized areas such as SAR, LiDAR, and deep learning applications. It highlights Python as a primary language but also includes resources for R, Julia, Scala, and other languages, promoting a broad ecosystem of tools.

Quick Start & Requirements

This is a curated list, not a software package. No installation or execution is required. Users can browse the links provided for specific tools and tutorials.

Highlighted Details

• Extensive coverage of Python libraries for EO, including rasterio, xarray, geopandas, and specialized tools for data access and processing.
• Dedicated sections for emerging standards like SpatioTemporal Asset Catalog (STAC) and Cloud Optimized GeoTIFFs (COGs), reflecting current industry trends.
• Comprehensive resources for Google Earth Engine and Open Data Cube, two major platforms for large-scale geospatial analysis.
• Includes sections on non-EO related Python and other language resources, encouraging cross-disciplinary learning.

Maintenance & Community

The repository is maintained by the community, accepting Pull Requests for new additions. The author notes that many links are over 18 months old, advising users to "tread carefully" due to potential outdated or retired resources.

Licensing & Compatibility

The content is licensed under a Creative Commons Attribution 1.0 International License. This permits broad use and adaptation of the listed resources.

Limitations & Caveats

A significant portion of the links may be outdated or point to retired repositories, requiring users to verify the current status and relevance of the resources. The author explicitly states that the list is not officially an "awesome list" and is a personal curation.