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
- Miehe, G.; Schleuss, P.; Seeber, E.; Babel, W.; Biermann, T.; Braendle, M.; Fahu, C.; Coners, H.; Foken, T.; Gerken, T.; Graf, H.; Guggenberger, G.; Hafner, S.; Holzapfel, M.; Ingrisch, J.; Kuzyakov, Y.; Lai, Z.; Lehnert, L.; Leuschner, C.; Li, X.; Liu, J.; Liu, S.; Ma, Y.; Miehe, S.; Mosbrugger, V.; Noltie, H.J.; Schmidt, J.; Spielvogel, S.; Unteregelsbacher, S.; Wang, Y.; Willinghöfer, S.; Xu, X.; Yang, Y.; Zhang, S.; Opgenoorth, L. & Wesche, K. (2019): The Kobresia pygmaea ecosystem of the Tibetan highlands - Origin, functioning and degradation of the world's largest pastoral alpine ecosystem: Kobresia pastures of Tibet. Science of the Total Environment 648, 754-771 DOI: http://dx.doi.org/10.1016/j.scitotenv.2018.08.164.
- Drönner, J.; Korfhage, N.; Egli, S.; Mühling, M.; Thies, B.; Bendix, J.; Freisleben, B. & Seeger, B. (2018): Fast Cloud Segmentation Using Convolutional Neural Networks. remote sensing 10(11), 1782- DOI: http://dx.doi.org/10.3390/rs10111782.
- Carrillo-Rojas, G.; Silva, B.; Rollenbeck, R.; Celleri, R. & Bendix, J. (2018): The breathing of the Andean highlands: Net ecosystem exchange and evapotranspiration over the páramo of southern Ecuador. Agricultural and Forest Meteorology 265, 30-47 DOI: http://dx.doi.org/10.1016/j.agrformet.2018.11.006.
