Workshop: Landfill and other environmental sites monitoring via Earth Observation Satellite Data

SESSION D06 / 12 October 2021 / 17:00 - 18:30
Workshop: Landfill and other environmental sites monitoring via Earth Observation Satellite Data
Chair / Presidente: Yuri Ponzani, Donata Magrin (UK)

Landfill gas emissions and leachate leaks at landfills – as well as at other environmental sites ( ie Brownfields ) - can give rise to regulatory and third-party liabilities for permit holders, landowners, and other potentially responsible parties if human health, properties, or the environment are damaged, along with business interruption and reputation.
Extensive sources of information are available to assist landfill operators and other stakeholders, but they often provide a snapshot impression of risk at one moment of time, and more frequent in situ assessment and monitoring can be very expensive.
The main purpose of the workshop is to present to landfill operators, public authorities, but also to the scientific community how space-based remote sensing data (Earth Observation satellite data) can be used for monitoring within and nearby landfill sites to spot changes that could be linked to gaseous (methane) and liquid (leachate) emissions.
Spaced-based information and data gathered can help detect and monitor emissions from landfill sites in order to better manage their risks. The collected data can also enable the data users to verify the environmental conditions and monitor their dynamics over time.
Participants are invited to join the workshop to share opinions, identify challenges and feedback gathering.

Introductory lectures by:

Recycle2Trade (UK):

  • Review of Earth Observation satellite data to monitor a landfill site and its surrounding environment

University of Leicester (UK):

  • Detecting occasional methane emissions from landfills with space-borne sensors
  • Monitoring vegetation health in proximity of landfill sites with satellite data
  • Detecting global land surface temperature data for climate science

Recycle2Trade (UK):

  • Methodological robustness (e.g. precision of measurements, availability of time series data, appropriate data validation, management of different types of uncertainty) and Results of few pilot tests