The soil in Tajikistan is exhausted - a consequence of deforestation, overgrazing and climate change.
The objective of the SwissPhenocam project is to develop and implement an automated phenology monitoring tool that will deliver added-value climate services regarding plant phenological responses to ongoing climate change and the carbon and water cycles.
By measuring over a long period how much water is contained in the snowpack (the snow water equivalent), the SLF is facilitating the detection of long-term changes in our climate system.
Remote sensing data – in particular optical and radar imagery – are a powerful tool to monitor the evolution of alpine mass movements. In this project, we investigate how these tools can support regional-scale hazard mitigation and improve our understanding of the processes driving slope instabilities in alpine terrain.
In the project FORHYCS-ICE, ("Forest, Glacier and Hydrology Change in Switzerland"), we aim at providing the first holistic simulations of climate impacts (CH2018 scenarios) on water resources, glaciers and forests.
This research aims to explore the predictability of drought at a monthly time horizon in the form of low flow in Switzerland and the European Alps by using machine learning techniques and linking large scale weather patterns with local hydrological events.