📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Using a deep neural network to detect methane point sources and quantify emissions from PRISMA hyperspectral satellite images (2023)

First Author: Joyce P

Attributed to: The Global Methane Budget funded by NERC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.5194/amt-16-2627-2023

Publication URI: http://dx.doi.org/10.5194/amt-16-2627-2023

Type: Journal Article/Review

Parent Publication: Atmospheric Measurement Techniques

Issue: 10