Campania region is characterized by intense urbanization, active volcanoes, subsidence, and landslides; therefore, the stability of public transportation structures is highly concerned. We have applied DInSAR technique to a stack of 25 X-band radar images of Cosmo-SkyMed (CSK) satellites collected over an area in Campania, in order to monitor the railways' stability. The study area was already investigated with older, low-resolution sensors like ERS1/2 and ENVISAT-ASAR before, but the number of obtained persistent scatterers (PSs) was too limited to get useful results. Here, for the first time we apply CSK high resolution imagery to this study area, so obtaining a number of PSs sufficient to detect possible deformations on the railways. We focused on a bridge at Triflisco, over the Volturno River. Our results demonstrate a stable condition. Comparison with the local thermal data shows that the main deformation on the bridge is limited to periodical deformation of the steel structure.
The CO 2 laser-based lidar ATLAS has been used to study the Stromboli volcano plume. ATLAS measured water vapor concentration in cross-sections of the plume and wind speed at the crater. Water vapor concentration and wind speed were retrieved by differential absorption lidar and correlation technique, respectively. Lidar returns were obtained up to a range of 3 km. The spatial resolution was 15 m and the temporal resolution was 20 s. By combining these measurements, the water vapor flux in the Stromboli volcano plume was found. To our knowledge, it is the first time that lidar retrieves water vapor concentrations in a volcanic plume.
In this paper, we present a technique for improving the representation of built-up features in model-based multitemporal synthetic aperture radar (SAR) RGB composites. The proposed technique exploits the multitemporal adaptive processing (MAP3) framework to generate an a priori information which is used to implement an adaptive selection of the coherence window size. Image texture is used to support the coherence information in case of decorrelation. The coherence information, powered by texture analysis, and combined with backscattering amplitude, provides a unique representation of built-up features. This allows for an immediate detection of urban agglomerates by human operators, and is an advantaged starting point for urban area extraction algorithms.Index Terms-Data representation, fuzzy logic, multitemporal synthetic aperture radar (SAR), urban areas.
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