CH4Net: a deep learning model for monitoring methane super-emitters with Sentinel-2 imagery

<p>We present a deep learning model, CH4Net, for automated monitoring of methane super-emitters from Sentinel-2 data. When trained on images of 23 methane super-emitter locations from 2017–2020 and evaluated on images from 2021, this model detects 84 % of methane plumes compared with 24 % of p...

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Main Authors: A. Vaughan, G. Mateo-García, L. Gómez-Chova, V. Růžička, L. Guanter, I. Irakulis-Loitxate
פורמט: Article
שפה:English
יצא לאור: Copernicus Publications 2024-05-01
סדרה:Atmospheric Measurement Techniques
גישה מקוונת:https://amt.copernicus.org/articles/17/2583/2024/amt-17-2583-2024.pdf