Satellite Methane Monitoring for Wastewater Treatment
Long-Term Emission Analysis from Sentinel-2 Remote-Sensing Imagery
Remote Sensing, 2024

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01 — Overview
Overview
Short measurement campaigns provide only snapshots of fugitive methane emissions from wastewater treatment. This study investigates whether frequently available satellite imagery can reveal longer-term spatial and temporal patterns instead.
The analysis covers Sentinel-2 observations of a Calgary wastewater treatment plant from 2019 through 2023, providing a multi-year view of daily, monthly, seasonal, and annual variation.
02 — Contributions
Key Contributions
- 01
Evaluates high-spatial-resolution Sentinel-2 imagery for long-term wastewater methane monitoring.
- 02
Develops image-processing techniques for extracting spatial and temporal concentration patterns.
- 03
Identifies candidate emission hotspots and compares them with ground-based measurements.
03 — Method
Method
The study processes multi-year Sentinel-2 imagery to retrieve methane column-concentration distributions over the plant. Digital image-processing steps aggregate and compare those distributions across daily, monthly, seasonal, and annual timescales and locate recurring spatial hotspots.
04 — Evaluation
Results
The recovered patterns show substantial spatial and temporal variation and identify hotspots consistent with ground observations. The paper presents satellite imagery as a cost-effective complement to continuous monitoring while noting limitations from clouds, atmospheric scattering, and sensor resolution.
05 — Reference
Citation
BibTeX citation
@Article{Mehrdad_2024_SatelliteMethane,
author = {Mehrdad, Seyed Mostafa and Zhang, Bo and Guo, Wenqi and Du, Shan and Du, Ke},
title = {First Investigation of Long-Term Methane Emissions from Wastewater Treatment Using Satellite Remote Sensing},
journal = {Remote Sensing},
year = {2024},
volume = {16},
number = {23},
article-number = {4422},
doi = {10.3390/rs16234422}
}