Metadata-Version: 2.1
Name: ddeq
Version: 0.2.0
Summary: Algorithms for data-driven detection and quantification of hot spot emissions in satellite observations.
Author: Laia Amarós, Gregoire Broquet, Dominik Brunner, Frédéric Chevallier, Janne Hakkarainen, Erik Koene, Gerrit Kuhlmann, Sandro Meier, Janne Nurmela, Diego Santaren, Johanna Tamminen
Maintainer-email: Gerrit Kuhlmann <gerrit.kuhlmann@empa.ch>
Project-URL: Homepage, https://gitlab.com/empa503/remote-sensing/ddeq
Project-URL: Bug Tracker, https://gitlab.com/empa503/remote-sensing/ddeq/-/issues
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: GNU Lesser General Public License v2 or later (LGPLv2+)
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: LICENSE

# Data-driven emission quantification

Algorithms for data-driven detection and quantification of hot spot emissions
in remote sensing observations.


## Installation
```
python -m pip install ddeq
```

## Tutorials
ddeq includes some tutorial using Jupyter Notebooks that show how the library
can be used to quantify CO2 and NOx emissions from cities and power plants. The
tutorials example data from the SMARTCARB dataset, the CoCO2 library of plumes
and the TROPOMI NO2 product.

You can find the tutorials in the "notebooks" folder.


## Examples
ddeq includes some examples using Jupyter Notebooks for specific applications
that can be found in the "notebooks" folder.
