Development of an algorithm for automatic elaboration, representation and dissemination of landslide monitoring data

• Main Authors: Aleksandra Wrzesniak, Daniele Giordan
• Format: Article
• Language: English
• Published: Taylor & Francis Group 2017-12-01
• Series: Geomatics, Natural Hazards & Risk
• Subjects: geohazard; monitoring network; early warning; automatic data dissemination; risk awareness
• Online Access: http://dx.doi.org/10.1080/19475705.2017.1392369

Despite the support of technological improvements in hazard monitoring and management, the aspect of dissemination of scientific data is still underestimated. Hazard monitoring systems are usually organized in complex networks, composed of automatized procedures in order to capture, pre-process, elaborate, transfer the monitoring result data and to generate warnings. However, a well-organized communication strategy leads to success in hazard management, especially concerning emergency conditions. In this paper, we present an approach for monitoring results dissemination in the form of single-page informative bulletin, composed of synthetic information dedicated to non-expert receivers. We developed an automatic methodology for fast and efficient data analysis and proper elaboration and dissemination, and we integrated all these elements into an algorithm for automatic bulletin generation. Our purpose was to construct a configurable tool that could be easily adapted to the hazard conditions under study. Afterwards, we applied the developed algorithm to landslide monitoring data-set. We validated the proposed approach by verifying the consistency of the model. Our methodology shows how to integrate a variety of information relative to landslide evolution, and it can be a convenient support for the management of natural hazards especially during critical situations.