Welcome to the Laboratory for Climatology and Remote Sensing
The LCRS is a working group within the Faculty of Geography at the University of Marburg. Research is done in the fields of climatology, remote sensing and numerical modelling, with a focus on atmospheric and boundary layer climatology, climate-ecology and climate change impact assessment.
Main research activities at the LCRS are:
- Climatological remote sensing
- Simulation of atmosphere and ecosystem processes
- Climate change impact research
To find out more about our research please have a look at the projects and facilities section on this page.
Latest available projects for students
Latest publications
- Kokhanovsky, A.; Segl, K.; Chen, N.; Li, W.; Feng, S.; Wehrlé, A.; Box, J.E.; Nielsen, R.B.; Fuchs, P.; Stamnes, K. & Bendix, J. (2026): Satellite Remote Sensing of a Melting Glacier Albedo: Examples from EnMAP and an Intercomparison with Other Satellite and Ground Measurements. Remote Sensing 18(17), -.
- Ding, A.; Ma, H.; Liang, S.; Jiao, Z.; Kokhanovsky, A.; Shi, H. & Xie, R. (2026): A unified Hapke-HSR + MARMIT-2 soil radiative transfer model forreflectance simulation under varying moisture conditions. Geoscientific Model Development 19(11), 4775--4795.
- Servera, J.V.; Kokhanovsky, A.; Varando, G.; Martino, L. & Camps-Valls, G. (2026): Symbolic Regression for Physics-Aware Emulation. {IEEE Transactions on Geoscience and Remote Sensing} 64, 1-13.
Latest datasets
- Training datasets for visibility forecasting based on station, Meteosat Second Generation (MSG) and COSMO-REA6 at three DWD station locations by Richter, K. (2025)
- Forecasted visibility values of detected fog events between 11/2009 and 02/2016 at DWD stations 1639, 198 and 2044 as output of XGBoost modeling by Richter, K. (2025)
- Pixel values of Meteosat Second Generation (MSG) channel measurements for German Weather Service (DWD) station locations including visibility measurement from 2009 to 2017 by Richter, K. (2025)
