Project description

DAMSAT provides different types of services such as movement and pollution data from space-data analysis, in-situ measurements, hydrological forecasts and impact assessments.

The components of DAMSAT

 

Space data production Space-data production
We will use Interferometric Synthetic Aperture Radar (InSAR) images to provide ground deformation measurements over a set of automatically located points to a precision of 2 to 3 mm. For best results, stacks of 30 or 40 scenes are used in order to build up sufficient observation of the site for the interferometric process to adequately identify high coherence points. In order to build up a stack with sufficient quantity of scenes, we will use the COMSO-SkyMed system which is a constellation of four micro-satellites in a near polar orbit which provides the highest revisit. COSMO can consequently achieve suitable repeating viewing geometry images of up to 8 acquisitions in 32 days allowing relatively dynamic motions to be detected.The project will also investigate the use of Earth Observation (EO) optical data for monitoring pollution indicators. This might be added to the system to supplement the monitoring of movement.
Hydrological forecast for tailings dams Hydrological forecast
Available short term (i.e. <10 days) forecasts are coupled to hydrological models to estimate water inflows into the tailings reservoirs. We also estimate the increase of water levels at the tailings reservoirs to support the assessment of possible overtopping failures and therefore, allowing the opportunity to take preventative action, where possible.
In-situ measurements In-situ measurements
DAMSAT is based on combining satellite SAR interferometry and real-time Global Navigation Satellite Systems (GNSS) for real time motion detection of changes in any direction. Two pilot sites are being monitored with this technology.
Data integration and assessment Data integration & assessment
For data integration we use the open cloud platform MindSphere produced by Siemens.  This is a powerful IoT operating system with data analytics and connectivity capabilities, tools for developers, applications and services.  MindSphere is designed as an open ecosystem, making it possible to exchange data across organisational boundaries and to connect a wide range of different products. It uses open standards and interfaces, which means that data can be gathered from equipment of many different manufacturers and be easily integrated and analysed in it.  MindSphere provides state of the art security during data acquisition in the field, transmission and storage in the cloud.
Consequence modelling for tailings dams Consequence modelling
The consequences of tailings dam failures on communities downstream are being assessed at several sites of the pilot area. The modelling studies provide an understanding of the risks downstream the tailings dams and help to raise awareness of those risks.
Visualisation Visualisation
DAMSAT has an interface with a number of visualization tools to provide the information from the different modules described above. The interface is designed meeting different end users’ requirements.
Sustainability Sustainability
The objective of the sustainability plan is to ensure that the benefits of the project continue after funding ends (in 2020) with minimum running costs.
User engagement User engagement
Key stakeholders and end users are engaged to:

  •  identify the challenges faced and opportunities for satellite enabled interventions,
  • define a suitable service to address these challenges,
  • create a comprehensive set of user requirements
  • and to validate the products developed.
Knowledge sharing Knowledge sharing
The objective of the activity is to promote the aims and benefits of the project enabling stakeholders to take appropriate actions. Informative sessions for users will enable them to capitalise on the functionality and benefits of the created system. Knowledge sharing is conducted through a mix of training and marketing channels to different audiences: Peruvian stakeholders, UK and international audiences.
Monitoring and evaluation Monitoring and evaluation
The objectives of the Monitoring and Evaluation activities are:

  • Understand if and how project activities are contributing to intended results.
  • Feed back into the programme the insights gained to allow learning and adaptive programming
  • Assess the cost-effectiveness and added value of the project against a ‘business as usual’ scenario.

Project timeline

The timeline for the different activities is shown in this page.