pygeofilter-aeronet
pygeofilter-aeronet provides a pygeofilter extension for querying NASA’s AERONET aerosol optical depth datasets through the AERONET Web Service v3 API.
It enables filtering AERONET observations using the same spatial and temporal operators as OGC APIs (CQL2 filters), making it easier to integrate AERONET data in geospatial workflows, data lakes, and cloud pipelines.
Features
- Evaluate CQL2 expressions (spatial, temporal, and attribute filters) directly on AERONET datasets
- Parse and normalize AERONET text responses into GeoPandas DataFrames
- Support for:
AOD10,AOD15,AOD20— Aerosol Optical Depth (Levels 1.0–2.0)SDA10,SDA15,SDA20— Size Distribution AnalysisTOT10,TOT15,TOT20— Total Optical Depth
- Simple API for combining AERONET product types and date ranges
- Compatible with pygeofilter, pandas, and geopandas
Installation
pip install pygeofilter-aeronet
or directly from GitHub:
pip install git+https://github.com/Terradue/pygeofilter-aeronet.git
Documentation
The documentation site is organized by purpose:
- Tutorials: complete your first query.
- How-to guides: download data, discover stations, and match satellite acquisitions.
- Reference: CLI options, supported filters, and Python functions.
- Explanation: query processing and software design.
Start with Your first AERONET query for an executable Python example.
Development
See development setup and documentation preview.
License
1 maintainer
Metadata
1 maintainer
Release files for pygeofilter-aeronet 0.13.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pygeofilter_aeronet-0.13.0.tar.gz | 291.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pygeofilter_aeronet-0.13.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 318.4 kB
Release files / pygeofilter_aeronet-0.13.0.tar.gz
| Download URL | pygeofilter_aeronet-0.13.0.tar.gz |
|---|---|
| Size | 291.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
44455a24541cb2a4a3ba46fe5d12f8fd8c457edb94351cb81637a236d3e2512b
|
|
BLAKE2b-256 checksum How to use checksums |
51be7b3dec6d4a1469268c266aad01668ca104ad5eba2912a56c6363b42a2131
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Sep 28, 2026.
Transparency logRelease files / pygeofilter_aeronet-0.13.0-py3-none-any.whl
| Download URL | pygeofilter_aeronet-0.13.0-py3-none-any.whl |
|---|---|
| Size | 26.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
0e2b3fcdc0f43f6731538fb0be1a3223ae569385cbe2d5339b3e160918ae5a25
|
|
BLAKE2b-256 checksum How to use checksums |
107352bb161c082477a9a7a08fc51350724f98d77059bdb3c9cf6e805242888b
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Sep 28, 2026.
Transparency log
