Official code for STARCOP: Semantic Segmentation of Methane Plumes with Hyperspectral Machine Learning models 🌈🛰️
Multi-sensor satellite methane plume detection with partial-observation fusion.
Official code for Towards Methane Detection On Board Satellites
Official codebase for paper "Fully Automatic Trace Gas Plume Detection"
AutoMergeNet: a neural architecture search approach for automatic plume detection in TROPOMI images
Notebooks for paper "Global Solid Waste Methane Super Emitters Using Hyperspectral Satellites"
Production code for DLQ Algorithm in R
This repository contains two methods to address bias to missing pixels in methane plume detection CNNs. Our methods are transferable to other tasks.
Notebooks for paper "HyperGas 1.0: A Python package for analyzing hyperspectral data for greenhouse gases from retrieval to emission rate quantification"
MQ4 Methane (CNG) Gas Sensor Board Module
An IoT-based system for real-time monitoring of methane and environmental conditions in landfills using ESP32 and Python.
Winning Submission to 2023 Hackathon of QuantumBlack, AI by McKinsey
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