MethLandfill

MethLandfill focuses on developing an innovative system to monitor methane emissions from landfills using satellite remote sensing data combined with deep learning techniques. These datasets will support more effective methane reduction policies and improve waste management practices, essential for meeting China's climate targets and contributing to global efforts to mitigate climate change.

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Locations of major landfills in the Yellow River Basin, China. © Henan University

Monitoring Methane Emissions from Landfills in the Yellow River Basin, China

Overview

Context

Rapid urbanization and growing waste volumes have established landfills as major contributors to China's methane (CH₄) emissions. As a potent greenhouse gas, methane has a global warming potential approximately 28 times greater than carbon dioxide (CO₂). Landfill-derived methane substantially increases the overall greenhouse gas burden, accelerating climate change—making precise emission quantification critical for developing effective mitigation strategies.

Approach and objectives

MethLandfill is a project focused on developing an innovative system to monitor methane emissions from landfills using satellite remote sensing data. By incorporating deep learning models, the project significantly enhances detection capabilities, enabling precise identification of methane hotspots and accurate estimation of emission rates. This approach ensures temporally consistent and highly accurate monitoring of methane emissions.

👉 The resulting dataset will support more effective methane reduction policies and optimized waste management practices, which are essential for achieving China's climate targets and advancing global climate change mitigation efforts.

◀︎ Flowchart of quantification methods for Landfill CH4 emission rates. © Henan University

Application site(s)

Yellow River Basin, China

Data

Satellite

Gaofen 5
Ziyuan 1
Sentinel-2

Other

ERA5
Ground-Based Observations

Results - Final product(s)

This project presents a high-resolution methane emissions dataset from landfill sites across China. The final products include the spatial distribution of methane emissions from multiple sites, along with emission rates and temporal trends.

The methane emission data will be delivered through a WebGIS plateform, enabling users to explore emission hotspots, temporal trends, and spatial patterns across landfill sites in China. This interactive platform will feature dynamic maps that visualize the spatial distribution of methane emissions, providing an intuitive tool for data exploration.