Scaling in remote sensing
Remote sensing sensors provide data at different spatial and temporal scales in the order of meters to tens of kilometers and sub-hourly to yearly frequency. Evaluating the accuracy of remote sensing products using ground measurements requires to bridge the gap between very local in situ measurements and the remote sensing observations.
Climate models are also used at multiple scales. Comparing climate model results against ground observations and/or remote sensing observations therefore also requires techniques to compare these, typically not consistent data sets.
The research group is developing techniques for the scaling and intercomparison of ground observations, satellite data and climate model simulations.