ddeq 0.2.0

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

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.