Major Hazards Specialised Centers
European and Mediterranean
Major Hazards Agreement
Major Hazards Agreement
WP1. Analysis of existing water level monitoring systems' sensors for selection of modern cost-effective and accurate sensors for monitoring water level in rivers as well as multi-channel data acquisition module (GHHD)
Analysis of existing cameras systems for monitoring water levels, mudflows and rockfalls and creating times series of images (CERG)
WP2. Assembling and testing the water level monitoring prototype module including sensors and data acquisition system and testing it in laboratory conditions (GHHD). Deployment of a series of permanent terrestrial cameras on-site for mudflow and rockfall monitoring (CERG).
WP3. Assembling and testing of existing cost-effective power sources (solar batteries etc) to provide autonomous regime of water level monitoring system in rivers in laboratory conditions (GHHD)
WP4. Testing open source librairies for an automated processing of stacks of images in order to detect changes (e.g. slope erosion, mass in moverment) and possibly create digital surface models (CERG)
Expected results 2018
WP5. Analysis, assembling and testing of existing cost-effective telemetry systems to provide close to real-time transmission water level monitoring system in rivers in laboratory conditions (GHHD).
WP6. Selection of appropriate site with high risk of flooding for installation of field monitoring station and information on seasonal safe, increased and critical water levels (GHHD).
WP7. Development of on-site processing tools for rapid identification of possible changes in the slope surface morphology (e.g. integration of the processing algorithm on low-cost PCs) and testing the systems on the sites of year 2018 (CERG).
i. Operating water level monitoring/early warning system prototype module including sensors and data acquisition system for detecting flood initiation tested in laboratory conditions
ii. Cost-effective power source (with solar panel, batteries etc) to provide autonomous regime of water level monitoring system in rivers in laboratory conditions
i. Operating water level monitoring/early warning system prototype module including sensors and data acquisition system for detecting flood initiation tested in laboratory conditions
ii. Cost-effective power source (with solar panel, batteries etc) to provide autonomous regime of water level monitoring system in rivers in laboratory conditions
i. Report and leaflets on the best strategy to install permanent cameras on site for long-term monitorign and early-warning
ii. Report and leaflets on the algorithms developed to
detect changes using both monoscopic (1 camera) and stereo-scopic (2 cameras)
approaches
WP.1.1.Contribute to the selection of modern cost-effective and accurate sensors for monitoring water level in rivers. Analysis of existing cameras systems for monitoring mudflows and rockfalls and creating times series of images. Benchmark of several cameras and comparisons to reference high resolution datasets.
WP.1.2. Contribution to the selection of modern cost-effective multi-channel data acquisition modules for collecting water level data and times series of photographs.
WP.2.1. Deployement of 3 permanent terrestrial cameras in the field (site prone to mudflow and rockfall monitoring). Testing of the systems in terms of energy consumption, performance, and data quality. Acquisition of external datasets (LiDAR) for creating reference data for comparisons. Definition of optimal storage systems (e.g. database) for archiving all the data (raw, corrected, processed) and provide data requests.
WP.4.1. Testing open source librairies (MicMac, PCL) for an automated processing of stacks of images in order to detect qualitative changes in the morphology of the slope (e.g. monoscopic approach). Identification of the best strategy to create digital surface models from pairs of imags (e.g. stereo-scopic approach) and derive quantiative measaures of changes. Comparisons of the results to ancillary data.
i. Selection of modern cost-effective and accurate sensors for monitoring water level in rivers
ii. Selection of modern cost-effective power sources
