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I'm a master student at the TU Delft on the faculty of Civil Engineering and Geosciences.
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Upcoming Events
IGARSS
From July 12-16, 2021 the virtual International Geoscience and Remote Sensing Symposium will be held. In one of the online session I will serve as a technical session manager.
Past events
Fringe - ESA
On June 3th I will give a presentation about my research for my Master thesis. Below is the submitted abstract.Detecting impending cover collapse over subsurface voids using satellite InSAR: assessment of a systematic detection method
The former coal mining area in South-Limburg, The Netherlands, hosts potentially hundreds of vertical shafts and subsurface voids, of which some tens are known in location, but many are unknown. These voids pose a risk of collapsing, causing local sinkholes, and are a security hazard for the population and infrastructure. It is very difficult to know if, when, where, and how these voids may lead to surface collapse, since the frequency of occurrence is low and the signs at the surface are often very limited. Various in situ methods such as coring, GPR and seismic reflection are able to detect impending sinkholes but are expensive, spatially limited, and do not take the temporal changes into account. A novel technique and method has to be implemented and developed in order systematically look for a signature corresponding to the hazard of interest. Satellite radar interferometry (InSAR) has proven to be able, in ex post facto studies, to detect the minute displacements that appear to occur in the weeks or years preceding a collapse. Yet, until now, there has been no systematic approach of automatic screening and analyzing the vast amount of satellite data that is acquired on a daily basis. Here we demonstrate the feasibility of such a detection procedure and define the relevant metrics to decide on the efficacy of such an impending sinkhole detection system. We systematically analyze the entire area of interest using a predefined kinematic model. The kinematic model is a spatio-temporal simplification of the surface expression of an impending sinkhole, whereby multiple InSAR measurement can be used for the estimation. By implementing a kinematic model, the flexibility is preserved to apply the method on other areas of interest. The method takes the spatial distribution of InSAR measurements from five different satellites into account, and considers the different precision levels of each individual measurement point. The precision levels are important for estimating the minimal detectable deformation parameters, given a selected significance level and detectability power. This leads to a near-daily update of the entire area of interest. The produced maps can be used in an pre-operational way by authorities and stakeholders in Limburg, but could also be produced for any other sinkhole-prone area in the world.