Published November 25, 2022
| Version v1
Journal article
Open
Simulated XCO2 images and hotspot plumes formatted for deep learning methods and segmentation models weights.
Creators
- 1. CEREA, Ecole des Ponts and EDF R&D, Île-de-France, France
- 2. Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Universit\'e Paris-Saclay, 91198 Gif-sur-Yvette, France
- 3. Swiss Federal Laboratories for Materials Science and Technology (Empa), Dübendorf, Switerzland
Description
Dataset and weights release for preprint "Segmentation of XCO2 images with deep learning: application to synthetic plumes from cities and power plants" Joffrey Dumont Le Brazidec et al.
Files
segmentation_datasets.zip
Files
(17.1 GB)
| Name | Size | Download all |
|---|---|---|
|
md5:2e10b9d00a85affe693c3eb6423ad5b4
|
14.7 GB | Preview Download |
|
md5:6b15a13c1defb81d491b60ec1eb8f44f
|
2.4 GB | Preview Download |