Satellite data and low-cost gas sensors Landfill Monitoring Platform
ACTIVE LAB 11 / 12 October 2023 / 15:00 - 16:30
Yuri Ponzani - Cleannovation (UK), firstname.lastname@example.org
Laura Capelli - Politecnico di Milano (IT), email@example.com
The ESCAPE project aims to develop a new service, a cloud-based online platform, combining space-based and ground datasets, including meteorological data, with AI-based solutions and algorithms for spotting emissions and pollution from landfill and brownfield sites.
ESCAPE builds on the:
- Creation of analysis models of Earth Observation (EO) products that allow the identification of features and/or anomalies in the areas of interest
- Development of a new gas-sensing device (Sensors Toolbox) to screen pollutant gasses concentrations in ambient air during walkover surveys (reconnaissance surveys)
- Development of a new digital platform available as a Software as a Service solution combining multiple data sources.
The active lab will describe remote sensing and pollutants analysis with low-cost sensors at landfills and waste treatment plants. It will present specific challenges associated with the real-time monitoring of pollutants in the field, mainly focusing on the management of interferences.
Participants will be dealing with selected case studies, illustrating experimental procedures and machine learning methods specifically designed for interference mitigation and their application to real-case scenarios, and they will be challenged with dedicated practicals and hands-on activities involving the application of compensation algorithms to real field data.
- Y. Ponzani (UK)
Remote Sensing over Landfill and Brownfield Sites
- L. Capelli, C. Bax (IT)
Detecting pollutant gases and odours at landfills and waste treatment facilities with low-cost gas sensors
- C. Ratti (IT)
Dealing with interferents when using gas sensors for environmental monitoring: examples and case studies
- Y. Ponzani (UK)
Objectives of the ESCAPE Project