Welcome to the research group Climate and Environmental Remote Sensing
The CLIMERS group was initiated with the TU Wien Science Award 2015 awarded to Wouter Dorigo
Global warming is expected to amplify the global water cycle, which will lead to an increase the frequency and intensity of storms, floods, and droughts. The negative impact of droughts on vegetation will impact future food security and reduce the efficiency of vegetation as a sink of atmospheric carbon-dioxide, thus further exacerbating global warming. However, climate model predictions are uncertain as the long-term effects of drought on vegetation are only poorly understood due to lack of suited observational data. But the recent release of various long-term satellite-based datasets of soil moisture (produced by CLIMERS) and vegetation has created new avenues. The CLIMERS groups will use these datasets to unravel the role of water availability in driving vegetation growth and to asses how climate change has affected this relationship. The results will be used to improve state-of-the-art climate models that support the IPCC climate assessments.
hidden, but needed (copy 1)
- StudienassistentIn Photogrammetrie
- Volta Summer School 2018: Automation in the Context of National Mapping Agency (NMA) Production
- SAR Data Processing Specialist
- PreDoc position in Engineering Geodesy
- Workshop invitation: ESA CCI Soil Moisture in support of global climate monitoring
- Special Issue "Applications of GIScience for Land Administration"
- International Remote Sensing School for Hydrological Applications, Rome, 13-16 November 2018
- How much water is used for irrigation?
- GEO contributes to NOAA State of the Climate report 2017
- GEO contribute to European State of the Climate 2017 with C3S Long-term soil moisture
- CLIMERS at Europe's largest Conference on Geosciences #EGU18
- GEO contributes to GCOS Austria with in situ and satellite soil moisture data
- Our earth observation validation paper got featured in Editors’ Vox @AGU_eos
- New paper on using satellite observations to predict wildfires
- New paper on Earth observation validation practices across communities
- New paper on CCI soil moisture merging methodology
- Der neue Studien-Infofolder Geodäsie und Geoinformation ist da!
- New paper: microwave remote sensing of photosynthesis