We present an AR application for visualizing solar radiation data on facades of buildings, generated from LiDAR data and climatic observations. Data can be visualized using colored surfaces and glyphs. A user study revealed the proposed AR visualizations were easy to use, which can lead to leverage the potential benefits of AR visualizations: to detect errors in the simulated data, to give support to the installation of photovoltaic equipment and to raise public awareness of the use of facades for power production.

A method to derive accurate spatially dense maps of 3-D terrain displacement velocity is presented. It is based on the merging of terrain displacement velocities estimated by time series of interferometric synthetic aperture radar (InSAR) data acquired along ascending and descending orbits and repeated GPS measurements. The method uses selected persistent scatterers (PSs) and GPS measurements of the horizontal velocity. An important step of the proposed method is the mitigation of the impact of atmospheric phase delay in InSAR data. It is shown that accurate vertical velocities at PS locations can be retrieved if smooth horizontal velocity variations can be assumed. Furthermore, the mitigation of atmospheric effects reduces the spatial dispersion of vertical velocity estimates resulting in a more spatially regular 3-D velocity map. The proposed methodology is applied to the case study of Azores islands characterized by important tectonic phenomena.