Abstract
Abstract. This paper describes an experiment carried out within the project “URBAN GEOmatics for Bulk data Generation, Data Assessment and Technology Awareness (URBAN GEO BIG DATA)” on novel technological solutions for encouraging the use of time series of big geodata by scientists, public administrators, and the citizens of urban areas. In this experiment, we focus on fostering the use of ground deformation time series derived through the Differential Synthetic Aperture Radar Interferometry (DInSAR) measurements in urban areas (i.e., Naples, Milan, and Turin) through visualization. Two visualization applications are developed within the project. First, mean deformation velocity maps are visualized; second, the cumulative deformation time series is animated to enable the comprehension of deformation of eighteen years at a glance. The experiment allows experts and non-experts to discover spatio-temporal patterns of deformation. The paper focuses on the characteristics and implementation details of this experiment. Both visualizations are overlaid on a three-dimensional map, i.e., a virtual globe. We use open standards and free and open source software (FOSS) for Web to enable interoperability, replicability, and reusability.
Highlights
Big GeoData (BGD) constitute a challenge for monitoring and assessing the status of and changes in both the natural and the built environment where most people live
This paper describes an experiment carried out within the project “URBAN GEOmatics for Bulk data Generation, Data Assessment and Technology Awareness (URBAN GEO BIG DATA)” on novel technological solutions for encouraging the use of time series of big geodata by scientists, public administrators, and the citizens of urban areas
We focus on fostering the use of ground deformation time series derived through the Differential Synthetic Aperture Radar Interferometry (DInSAR) measurements in urban areas (i.e., Naples, Milan, and Turin) through visualization
Summary
Big GeoData (BGD) constitute a challenge for monitoring and assessing the status of and changes in both the natural and the built environment where most people live. As a matter of fact, the SBAS technique was initially developed to analyze sequences of multi-looked (averaged) interferograms (Berardino et al, 2002), but, subsequently, an adaptation of the SBAS algorithm that works at full spatial resolution scale (Lanari et al, 2004; Bonano et al, 2012) was proposed for the monitoring of buildings and public infrastructures, especially in urban areas In this work, both approaches were used to retrieve mean deformation velocity maps as well as deformation time series related to PS and DS targets locations. We describe the basic notions, methods, and processes aimed at the sharing of deformation time series derived through DInSAR measurements in urban areas, so that visualizations suitable for both experts and non-experts can be realized
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