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The ESCAPE project is focused on developing a cloud-based platform that integrates satellite Earth Observation data, ground-based measurements, and artificial intelligence to monitor and detect emissions from landfills and decommissioned industrial sites. By leveraging advanced data analytics, the project aims to provide authorities and environmental agencies with real-time insights to support pollution detection, risk assessment, and decision-making.
One of the primary objectives of ESCAPE is to create analytical models that use satellite imagery to identify anomalies in landfills, highlighting potential methane emissions and environmental risks. The project also incorporates in-situ monitoring through a newly developed gas detection device, enhancing the accuracy of pollution assessments. The platform is designed as a SaaS solution, combining multiple data sources into a single interface to deliver comprehensive environmental monitoring capabilities.
Latitudo 40 contributes to ESCAPE by applying its expertise in geospatial analytics to test and validate different Earth Observation data sources, including Sentinel-2, GHGSAT, Sentinel-5p, and high-resolution multispectral indexes. By analyzing these datasets across pilot landfills, Latitudo 40 has developed a methodology for detecting anomalies over time, helping to identify significant changes that could indicate pollution events or operational issues. Additionally, ESCAPE serves as a testbed for integrating new data sources and enhancing EO-based landfill monitoring with IoT in-situ data, further improving the reliability and scope of emissions detection.
