Articles | Volume 17, issue 12
https://doi.org/10.5194/gmd-17-4773-2024
https://doi.org/10.5194/gmd-17-4773-2024
Model description paper
 | 
18 Jun 2024
Model description paper |  | 18 Jun 2024

The ddeq Python library for point source quantification from remote sensing images (version 1.0)

Gerrit Kuhlmann, Erik Koene, Sandro Meier, Diego Santaren, Grégoire Broquet, Frédéric Chevallier, Janne Hakkarainen, Janne Nurmela, Laia Amorós, Johanna Tamminen, and Dominik Brunner

Viewed

Total article views: 2,836 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,327 450 59 2,836 95 78 135
  • HTML: 2,327
  • PDF: 450
  • XML: 59
  • Total: 2,836
  • Supplement: 95
  • BibTeX: 78
  • EndNote: 135
Views and downloads (calculated since 18 Jan 2024)
Cumulative views and downloads (calculated since 18 Jan 2024)

Viewed (geographical distribution)

Total article views: 2,836 (including HTML, PDF, and XML) Thereof 2,793 with geography defined and 43 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 05 Dec 2025
Download
Short summary
We present a Python software library for data-driven emission quantification (ddeq). It can be used to determine the emissions of hot spots (cities, power plants and industry) from remote sensing images using different methods. ddeq can be extended for new datasets and methods, providing a powerful community tool for users and developers. The application of the methods is shown using Jupyter notebooks included in the library.
Share