Your gateway to the Earth Data Store STAC Catalog.
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In the realm of geospatial data analysis and Earth observation, the EarthDaily Python package emerges as a powerful toolset that seamlessly connects you to the vast and invaluable Stac catalog Earth Data Store. This package is designed with the vision of simplifying and optimizing your workflow, ensuring that you can harness the full potential of Earth observation data with ease and efficiency.
Our package is built upon a foundation of best practices, meticulously crafted to elevate your data analysis experience. With EarthDaily, you can effortlessly navigate the complexities of datacube creation, including crucial processes like conversion to reflectance and automatic clipping to your area of interest. Additionally, we've taken care to make EarthDaily fully compatible with Dask, enabling you to scale your data preprocessing tasks with confidence and precision.
See documentation for more information
Make sure you have valid EDS credentials. If you need to get trial access, please contact us.
This package has been tested on Python 3.10, 3.11 and 3.12.
pip install earthdaily
Authentication credentials are accessed from environment variables. As a convenience python-dotenv is supported.
Copy the .env.sample file and rename to simply .env and update with your credentials. This file is gitignored.
Then add to your script/notebook:
from dotenv import load_dotenv
load_dotenv() # take environment variables from .env.See the documentation for more information.
If you find this package useful, please consider supporting its development.
If this project has been useful, that it helped you or your business to save precious time, don't hesitate to give it a star.
Distributed under the MIT License.
For any additonal information, please email us.
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