The research of the CliSAP research group (CRG) 'Terrestrial Remote Sensing' is focused on the application of remote sensing techniques at the global scale. Satellite remote sensing data is used to observe near surface climate variability and dynamics. New techniques are developed to derive longterm consistent observations of near surface climate. The datasets generated by the research group are used for climate studies as well as climate model evaluations.
Our working group focuses on the following research areas:
- Peng, J., Loew, A., Merlin, O., & Verhoest, N. (2017). A review of spatial downscaling of satellite remotely sensed soil moisture. Reviews of Geophysics, 55, 341-366. doi:10.1002/2016RG000543.
- Donges, J. F., Petrova, I., Loew, A., Marwan, N., & Kurths, J. (2015). How complex climate networks complement eigen techniques for the statistical analysis of climatological data. Climate Dynamics, 45, 2407-2424. doi:10.1007/s00382-015-2479-3.
- Loew, A. (2014). Terrestrial satellite records for climate studies: how long is long enough? Theoretical and Applied Climatology, 115, 427-440. doi:10.1007/s00704-013-0880-6.
- Peng, J. (2013). Estimation of evapotranspiration using satellite TOA radiances. PhD Thesis, Universität Hamburg, Hamburg.