Periodic Reporting for period 1 - MUSA (Monitoring built-Up area from SAtellite)
Reporting period: 2017-09-01 to 2018-08-31
Survey Lab is a Spin-Off University of Rome that develops and commercializes innovative services for the mapping and monitoring of uninhabited areas, buildings and infrastructures. Recently, Survey Lab has worked in the I.MODI project (2016-2018), focused in developing a system to monitor ground displacements and model deformation of civil structures using EO data. In line with its mission, through the MUSA project, Survey Lab is aimed to obtain quantitative indicators on the data quality used for the detection and monitoring of displacements, as well as to the analysis of spatio-temporal deformation trends. To accomplish this, the MUSA project focus in the development of advanced geostatistics tools to model the spatial distribution of the information (displacements and displacement rates) generated by applying DInSAR techniques on data provided with different spatial and temporal resolutions.
These products consist of:
- Quality maps of the DInSAR processing results
- Interpolation maps and with their quality report
- Decomposed time-series and short-term forecast
- Preliminary seismic vulnerability maps
- 1Preliminary seismic risk indicator maps
The findings after applying this type of analysis are necessary to understand and predict the evolution of natural and handmade-induced phenomena on built-up areas displacements. Further, for the case of seismic phenomena, a module to assess vulnerability and risk indicators (expected damage) by using a reduced number of needed variables has been developed. Altogether, the new toolset created through the development of the MUSA project enables useful procedures to evaluate the spatial-temporal evolution at several scales of displacement phenomena affecting urban areas. The tangible results and services to be offered after MUSA will have a noticeable impact for the society, allowing policy-makers to have a trustworthy source with relevant information to be used in risk assessment and management, as they will be enabled to take more convenient decisions on time. In the same way, the access to this information by the private sector or individual stakeholders will provide them with useful data to refine and improve their market strategies by considering risk factors related to the expected damage on properties and civil infrastructures.