Multi-sensor a Priori PSI Visibility Map for Nationwide Landslide Detection in Austria

This paper proposes a multi-sensor a priori PSI visibility map for Austria in order to evaluate the feasibility of Differential SAR Interferometric (DInSAR) applications for landslideaffected slopes. For this purpose, the range index RI, introduced for the determination of areas in layover and foreshortening on both ascending and descending acquisition geometries, is computed and applied to the most diffuse X-C-L band SAR sensors. A new method is introduced to improve the accuracy of those products by fusing CORINE data with sharper European JRC forest map and Imperviousness Copernicus map. The results are tested with six different available PSI datasets over Austria. Then, a priori visibility map and a PSI density map are also derived for seven different satellites by combining the RI index and an enhanced CORINE land cover map. Finally, PSI velocity values, along the Line of Sight (VLos) and projected along the steepest slope direction (VSlope), are used in order to produce a landslide velocity map for the Austrian region of Vorarlberg

AGIT Journal für Angewandte Geoinformatik / Verfahren zur Implementierung eines Kartierungsdienstes für Rutschungen auf Basis von Fernerkundungsdaten und Nutzereinbindung

Im Rahmen dieses Beitrags werden die technischen und nutzerzentrierten Analyseschritte zur Entwicklungen eines webbasierten Kartierungsdienstes für Rutschungen basierend auf Fernerkundungs- und Open-Source-Geodaten diskutiert. Der vorgestellte Dienst zielt darauf ab verschiedenste Akteure bei der Aktualisierung, Überwachung und Veröffentlichung von Rutschungsdaten sowie bei der Analyse der durch Rutschungen beeinträchtigten Infrastrukturen, wie zum Beispiel Straßennetzen, zu unterstützen. Zur Entwicklung eines Kartierungsdienstes für Rutschungen wurde ein iterativer und inkrementeller Ansatz der agilen Softwareentwicklung gewählt. Dieser Ansatz ermöglicht die direkte Einbindung des Nutzers in alle Phasen des Softwareentwicklungsprozesses. Dabei wird die Software in Einzelkomponenten entwickelt, wobei jede dieser Komponenten eine eigene und komplette Funktionalität darstellt. Verbesserungen an der Software werden schrittweise durchgeführt.In the presented paper the technical and user-centric analysis steps for the development of a web-based landslide mapping service are discussed. The generation of the service is based on remote sensing and open-source geodata. The service will support various stakeholders to monitor landslides, to update and publish landslide information, as well as to analyze affected infrastructures. For the service development, an iterative and incremental approach of agile software development is used. With the agile approach, the users are directly involved in all software development phases. Furthermore, the software is developed in single components and its enhancement is incrementally performed.(VLID)448191

Kinematic and Geometric Characterization of the Vögelsberg Rockslide (Tyrol, Austria) by Means of MT-InSAR Data

This paper focuses on the study of the Vögelsberg landslide located in the municipality of Wattens (Tyrol, Austria), which reactivated in 2016, causing damages to nearby buildings and infrastructures. Since the date of reactivation, a modern monitoring system has been implemented with the installation of in-situ geodetic automated tracking total stations (ATTS), an inclinometer and two piezometers. Here, we describe two distinctive methods, the Breaks for Additive Seasonal and Trend (BFAST) and the Vector Inclination Method (VIM) used to characterize the landslide from the kinematic and geometrical point of view. The main input data, used for both methods, derive from processing a stack of several Sentinel-1 differential interferograms with the Multiple Small Baseline Subset (MSBAS) 2D and 3D algorithms. BFAST allowed highlighting the seasonality of the phenomenon from the analysis of the time series as well as the trend and the breakpoints that identify the landslide reactivation phases. These latter were then correlated with the main triggering factors such as rain and snow melting. The application of the VIM through the exploitation of the MSBAS displacement vectors allowed the reconstruction of the depth of the landslide slip surface along both the longitudinal and transversal direction and, in turn, the evaluation of the volumes of material mobilized by the landslide. The results obtained further prove that procedures for the in-depth analysis of Multi-Temporal Interferometric Synthetic Aperture Radar (MT-InSAR) data can contribute to slow-moving landslide characterization, which represents a fundamental step for landslide hazard assessment within quantitative risk analyses

Geosciences / Comparing Manual and Semi-Automated Landslide Mapping Based on Optical Satellite Images from Different Sensors

Object-based image analysis (OBIA) has been increasingly used to map geohazards such as landslides on optical satellite images. OBIA shows various advantages over traditional image analysis methods due to its potential for considering various properties of segmentation-derived image objects (spectral, spatial, contextual, and textural) for classification. For accurately identifying and mapping landslides, however, visual image interpretation is still the most widely used method. The major question therefore is if semi-automated methods such as OBIA can achieve results of comparable quality in contrast to visual image interpretation. In this paper we apply OBIA for detecting and delineating landslides in five selected study areas in Austria and Italy using optical Earth Observation (EO) data from different sensors (Landsat 7, SPOT-5, WorldView-2/3, and Sentinel-2) and compare the OBIA mapping results to outcomes from visual image interpretation. A detailed evaluation of the mapping results per study area and sensor is performed by a number of spatial accuracy metrics, and the advantages and disadvantages of the two approaches for landslide mapping on optical EO data are discussed. The analyses show that both methods produce similar results, whereby the achieved accuracy values vary between the study areas.FFG-ASAP-847970(VLID)195193

MicroRNAs in the DNA Damage/Repair Network and Cancer

Cancer is a multistep process characterized by various and different genetic lesions which cause the transformation of normal cells into tumor cells. To preserve the genomic integrity, eukaryotic cells need a complex DNA damage/repair response network of signaling pathways, involving many proteins, able to induce cell cycle arrest, apoptosis, or DNA repair. Chemotherapy and/or radiation therapy are the most commonly used therapeutic approaches to manage cancer and act mainly through the induction of DNA damage. Impairment in the DNA repair proteins, which physiologically protect cells from persistent DNA injury, can affect the efficacy of cancer therapies. Recently, increasing evidence has suggested that microRNAs take actively part in the regulation of the DNA damage/repair network. MicroRNAs are endogenous short noncoding molecules able to regulate gene expression at the post-transcriptional level. Due to their activity, microRNAs play a role in many fundamental physiological and pathological processes. In this review we report and discuss the role of microRNAs in the DNA damage/repair and cancer