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STARCOP: Automated and self-improving follow-up verification of detrimental human-activity from LEO
Fri, 01/27/2023 - 18:06

Start Date:
2022
Programme:
Discovery
End Date:
2022
Programme Reference:
EISI_I-2022-00380
Country:
United Kingdom
Contractor:
Trillium Technologies
Status:
Closed
Description:
‘STARCOP’ is an initiative to use ML and multiple satellites of diverse detection capabilities to quickly detect methane leaks onboard and notify them in near-real-time. In this project we have developed ML models for automatic detection of methane in hyperspectral and multispectral imagery. Our hyperspectral model (HyperSTARCOP) is able to capture more than 90% of plumes in our test data while reducing the false positive rate by 39% when compared to state-of-the-art models. In addition, we show for the first time automatic multispectral approaches that are able to capture large plumes in Sentinel-2 data and WorldView-3 data.
Application Domain:
Earth Observation
Technology Domain:
1 - On-board Data Subsystems
6 - RF Subsystems, Payloads and Technologies
Competence Domain:
3-Avionic Systems
5-Radiofrequency & Optical Systems and Products
Keywords:
cognitive cloud computing
methane leaks
Executive summary: