A python utility library for interacting with NASA JPL's PO.DAAC
If you are using Podaacpy in your research, please consider citing the software . This DOI represents all versions, and will always resolve to the latest one. If you wish to reference actual versions, then please find the appropriate DOI's over at Zenodo.
What is PO.DAAC?
What does podaacpy offer?
The library provides a Python toolkit for interacting with all PO.DAAC Web Services v3.2.2 APIs, namely
PO.DAAC Web Services: services include
Dataset Metadata - retrieves the metadata of a dataset
Granule Metadata - retrieves the metadata of a granule
Search Dataset - searches PO.DAAC's dataset catalog, over Level 2, Level 3, and Level 4 datasets
Search Granule - does granule searching on PO.DAAC level 2 swath datasets (individual orbits of a satellite), and level 3 & 4 gridded datasets (time averaged to span the globe)
Image Granule - renders granules in the PO.DAAC's catalog to images such as jpeg and/or png
Extract Granule - subsets a granule in PO.DAAC catalog and produces either netcdf3 or hdf4 files
- Metadata Compliance Checker: an online tool and webservice designed to check and validate the contents of netCDF and HDF granules for theClimate and Forecast (CF) and Attribute Convention for Dataset Discovery (ACDD) metadata conventions.
- Level 2 Subsetting: allows users to subset and download popular PO.DAAC level 2 (swath) datasets.
- PO.DAAC Drive: an HTTP based data access service. PO.DAAC Drive replicates much of the functionality of FTP while addressing many of its issues.
Additionally, Podaacpy provides the following ocean-related data services
- NASA OceanColor Web:
- File Search - locate publically available files within the NASA Ocean Data Processing System (ODPS)
- Bulk data downloads via HTTP - mimic FTP bulk data downloads using the HTTP-based data distribution server.
From the cheeseshop
pip3 install podaacpy
or from conda
conda install -c conda-forge podaacpy
or from source
git clone https://github.com/nasa/podaacpy.git && cd podaacpy python3 setup.py install
Check out the examples directory for our Jupyter notebook examples.
Additonally, click on the build sticker at the top of this readme to be directed to the most recent build on travis-ci.
You can view the documentation online at
Alternatively, you can build the documentation manually as follows
cd docs && make html
Documentation is then available in docs/build/html/
Community, Support and Development
Copyright and Export Classification
Copyright 2016-2019, by the California Institute of Technology. ALL RIGHTS RESERVED. United States Government Sponsorship acknowledged. Any commercial use must be negotiated with the Office of Technology Transfer at the California Institute of Technology. This software may be subject to U.S. export control laws. By accepting this software, the user agrees to comply with all applicable U.S. export laws and regulations. User has the responsibility to obtain export licenses, or other export authority as may be required before exporting such information to foreign countries or providing access to foreign persons.