Performance validation of the GHGSat Methane Constellation via 20 controlled releases

Strategic design of methane observation networks to improve emission estimates: A case study in Africa

Abstract. Ground-based and satellite atmospheric observations are essential for reducing uncertainties in methane (CH4) emissions by atmospheric inversion, particularly in data-sparse regions such as Africa. However, adding new observation sites does not yield linear improvements of emission uncertainties because overl...

Performance Assessment of the Earthview BluBird Continuous Emission Monitoring System for Oil and Gas Facility Emissions Monitoring

The Earthview BluBird continuous methane emissions monitoring system participated in single-blind controlled-release testing in 2022 and 2024, with the goal of evaluating the leak detection and quantification capabilities of these metal-oxide point sensors under realistic field conditions. The METEC ADED test program c...

Remote sensing of ammonia point sources at high spatial resolution 1 with satellite-based imaging spectrometers

Quantifying methane emission of point-sources by integrating Aircore and DIAL-LiDAR measurements

Accurately quantifying methane (CH 4 ) emissions from intense point sources at fine spatial and temporal scales remains a significant challenge for current monitoring techniques. In this study, we present an integrated methodology that combines UAV-based AirCore sampling with ground-based methane differential abs...

Paving the Way for Uncertainty-Aware Forestry Products Using TanDEM-X and AI

As forests face increasing anthropogenic pressure, the robust, large-scale remote sensing of key biophysical parameters, such as forest height and above-ground biomass density, has become essential to guide conservation efforts and climatological analyses. While deep learning (DL) applied to interferometric synthetic a...

Methane Detection On Board Satellites from Unorthorectified Imagery

As a potent greenhouse gas, methane is a major driver of climate change. Its effective mitigation relies on timely detection. Conventional detection methods rely on orthorectification to correct geometric distortions and matched filters to enhance plume signals, which are steps designed for ground processing and poorly...