Deutsch Intern
Earth Observation Research Cluster

Dr. Tobias Landmann

Employment at the department:

12/2005 - 08/2012

Research projects at the departement:

Working group leader: West African Science Service Center on Climate Change and Adapted Land Use (WASCAL)  (Remote sensing and Landscape Dynamics)
Scientist at the CAWa project (Water in central Asia)
Project leader: BIOTA West Africa, Remote Sensing for Biodiversity
Project leader: GLOWA Volta, Remote Sensing for hydrological applications, land cover change mapping

Publications at the departement

(list no longer maintained)

  • Schramm, M.; Landmann, T.; Machwitz, M.; Schmidt, M.; Dech, S. (2010): Continuous tree density data as derived by remote sensing. In: Biodiversity Atlas of West Africa, Volume II: Burkina Faso, 98 - 101.

  • Yao, N. A.; Landmann, T.; Schmidt, M.; Konaté, S.; Dech, S.; Linsenmair, K. E. (2010): Fire as an agent for vegetation structure & diversity. In: Biodiversity Atlas of West Africa, Volume II: Burkina Faso, 64 - 71.

  • Landmann, T.; Machwitz, M.; Schmidt, M.; Dech, S.; Vlek, P. (2010): Land cover change in West Africa as observed by satellite remote sensing. In: Biodiversity Atlas of West Africa, Volume II: Burkina Faso, 92 - 97.

  • Landmann, T.; Machwitz, M.; Le, Q. B.; Desta, L.; Vlek, P.; Dech, S.; Schmidt, M. (2008): A land cover change synthesis study for the GLOWA Volta Basin in West Africa using time trajectory satellite observations and cellular automation models. In: Proceedings of the 2008 IEEE International Geoscience and Remote Sensing Symposium

  • Landmann, T.; Colditz, R.; Schmidt, M.; Dech, S. (2007): A Land Cover Classification System (LCCS) based wetland biodiversity characterization method for West African savannas using 250-Meter MODIS observations. In: 32nd International Symposium on Remote Sensing of Environment

  • Landmann, T.; Schmidt, M.; Dech, S.; Schramm, M.; Vogel, M. (2006): A new spatially-explicit and object-conditional land cover (LC) data set based on the FAO Land Cover Classification System (LCCS) for the GLOWA catchment area. In: 6th International Conference of the African Association of Remote Sensing of the Environment (AARSE)

  • Landmann, T.; Vlek, P. J.; Schmidt, M.; Dech, S.; Cord, A. (2007): An object-conditional approach for satellite remote sensing land cover mapping in African Savannas. In: Proceedings of the Third International Workshop on Information Fusion and Geographical Information Systems (IFGIS)

  • Landmann, T.; Schmidt, M.; Colditz, R. R.; Dech, S. (2007): An object-conditional land cover classification system (LCCS) based wetland biodiversity characterization method for West African savannas using 250 meter MODIS observations. In: 32nd International Symposium on Remote Sensing of Environment

  • Landmann, T.; Colditz, R. R.; Schmidt, M. (2006): An object-conditional land cover classification system (LCCS) wetland probability detection method for west African savannas using 250-meter MODIS observations. In: ESA-ESRIN GlobWetland Symposium

  • Yao, N. A.; Schmidt, M.; Landmann, T.; Konaté, S.; Dech, S.; Linsenmair, K. E. (2008): Bushfire distribution in the subsahelian West Africa using satellite Imagery. In: 7th International Conference of the African Association of Remote Sensing of the Environment (AARSE)

  • Colditz, R. R.; Geßner, U.; Conrad, C.; van Zyl, D.; Malherbe, J.; Newby, T.; Landmann, T.; Schmidt, M.; Dech, S. (2007): Dynamics of MODIS time series for ecological applications in southern Africa. In: Fourth international Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp)

  • Ruecker, G.; Wehrmann, T.; Schettler, I.; Conrad, C.; Landmann, T.; Klein, D.; Fritsch, S.; Schorcht, G.; Mund, J. P.; Kuenzer, C.; Keil, M.; Mehl, H.; Dech, S. (2009): Integration of remote sensing products in regional information systems to support decision making in land and water management in Central Asia. In: Proceedings of the Third Central Asia GIS Conference - GISCA '09 (Bishkek)

  • Machwitz, M.; Landmann, T.; Cord, A.; Conrad, C.; Dech, S. (2008): Land cover analysis on sub-continental scale: FAO LCCS standard with well-defined 250 meter MODIS satellite observations in West Africa. In: Proceedings of the 2008 IEEE International Geoscience and Remote Sensing Symposium

  • Landmann, T.; Herty, C.; Dech, S.; Schmidt, M.; Vlek, P. (2007): Land cover change analysis within the GLOWA Volta basin in West Africa using 30-meter Landsat data snapshots. In: Proceedings of the 2007 IEEE International Geoscience and Remote Sensing Symposium

  • Abdel-Rahman, E.; Kyalo, R.; Landmann, T.; Thiel, M.; Nyasani Le Ru B., J. (2016): Maize pest and diseas mapping using RapidEye-based vegetation indices and machine learning methods. In: AARSE 2016

  • Yao, N. A.; Schmidt, M.; Landmann, T.; Wegmann, M.; Konaté, S.; Penner, J.; Rödel, M. -O.; Fahr, J.; Linsenmair, K. E. (2006): Satellite derived spatial and temporal distribution of fire activity in subsahelian West Africa. In: 6th International Conference of the African Association of Remote Sensing of the Environment (AARSE)

  • Wegmann, M.; Colditz, R. R.; Fahr, J.; Landmann, T.; Linsenmair, K. E.; Penner, J.; Rödel, M. -O.; Schmidt, M.; Sommer, H.; Dech, S. (2006): Spatio-temporal analysis of African landscapes for biodiversity research. In: 6th International Conference of the African Association of Remote Sensing of the Environment (AARSE)

  • Kyalo, R.; Landmann, T.; Abdel-Rahman, E.; Subramanian, S.; Nyasani, J.; Thiel, M.; Jozani, H. (2016): The use of RapidEye observations to map cropping systems in highly fragmented agro-ecological landscapes in Africa. In: 36th EARSeL Symposium

  • Schramm, M.; Landmann, T.; Schmidt, M.; Dech, S. (2008): Tree density detection using spectral unmixing without known target spectra. In: Proceedings of the 2008 IEEE International Geoscience and Remote Sensing Symposium

  • Landmann, T.; Machwitz, M.; Cord, A.; Hüttich, C.; Dech, S. (2009): Using the Land Cover Classification System (LCCS) for interoperable determination of land cover and land cover change in Africa. In: 3rd Workshop of the EARSeL Special Interest Group on Land Use and Land Cover

  • Abdel-Rahman, E.; Kyalo, R.; Landmann, T.; Thiel, M.; Nyasani Le Ru B., J. (2016): Maize pest and diseas mapping using RapidEye-based vegetation indices and machine learning methods. In: AARSE 2016

  • Kyalo, R.; Landmann, T.; Abdel-Rahman, E.; Subramanian, S.; Nyasani, J.; Thiel, M.; Jozani, H. (2016): The use of RapidEye observations to map cropping systems in highly fragmented agro-ecological landscapes in Africa. In: 36th EARSeL Symposium