Published September 9, 2022
| Version 1
Journal article
Open
Using a deep neural network to detect methane point sources and quantify emissions from PRISMA hyperspectral satellite images
Creators
- 1. University of Leeds; National Centre for Earth Observation
- 2. University of Leicester; National Centre for Earth Observation
- 3. University of Leeds
- 4. Institute of Environment and Sustainability, University of California; Institute of Environment and Sustainability, University of California
Description
Here contains the codes for training the deep neural network for detecting methane point source emissions.
Files
Files
(19.7 kB)
Additional details
Funding
- NCEO LTS-S NE/R016518/1
- UK Research and Innovation
- The UK Earth system modelling project NE/N018079/1
- UK Research and Innovation