Welcome to the Landscapelab
What is the Landscapelab?
The Landscapelab is a wireless sensor network in the municipality of Koppl, Austria. In the past few years, heavy rainfall events have occurred more frequently in Austria. Such events led to landslides and flooded fields, streets and cellars. The interfacultary Department of Geoinformatics – Z_GIS of the University of Salzburg aims to measure the amount of rain- and snowfall in the Koppl catchment area. By using different kinds of sensors, it is tried to understand, when and where there is how much amount of water above and in the soil. Weather forecasts and in situ measurements are combined to serve as an early warning system for flood protection. The goal of those investigations is to gain a better understanding of the hydrological environment and to be prepared for upcoming heavy rainfall events and their negative impacts. Another purpose is the detection of phoshorus emissions into surface water bodies during extreme events. These are 2-4 annually occuring heavy rainfall events and the snow melting period in relation to grassland harvests and manuring times.
The Koppl catchment area
The area of investigation in Koppl is a catchment area of about 6 km² and belongs to the Mondsee catchment area. The meteorological and hydrological stations of the University of Salzburg are marked with yellow dots. All the blue displayed rivers flow into the Plainfelderbach, which is the only river to leave the Koppl catchment area. At this location, both the Sontec IQ plus and the Water Insitu Analyzer have been installed. The stations Nockstein, Knollbauer and Stabauer are located slightly outside the Koppl catchment.
Why wireless sensor network?
Measuring the meteorological, hydrological and pedological parameters is done by using weather resistant and relatively cheap sensors. The wireless and self-sufficient sensor network transmits the data, similar to WIFI, by using a ZigBEE protocol of a field computer. The Raspberry PI minicomputer, equipped with a mobile data connection, transmits the data to the internet in an interval of 10 minutes. The data is standardized (OGC, SOS, O&M, WaterML) and available for spatiotemporal analytical studies in almost real time.