Estimates gridded methane emissions by assimilating satellite observations with inverse modeling.
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Updated
Oct 6, 2026 - Python
Estimates gridded methane emissions by assimilating satellite observations with inverse modeling.
Official implementation of 'Predictive and Economic Assessment of Methane Emissions from Bio-Slurry Amended Systems using Ensemble Machine Learning' (STI 2025)
Open-source Python reproduction of the Rudd et al. (2024) landfill gas-to-energy and Bitcoin mining model (Journal of Cleaner Production)
Notebooks for paper "HyperGas 1.0: A Python package for analyzing hyperspectral data for greenhouse gases from retrieval to emission rate quantification"
Data contained within this repository relates to the UBC Shoreline Study at Wheeler Lake over July/August 2025, led by MSc Student Kelsey McGuire (@kelsey-mcguire). The data and code contained within the repository was created and analyzed by KM and has permission to be distributed from the Dena Kayeh Institute.
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