Prof. Dr. Björn Waske
Institute of Geographical Sciences
Remote Sensing and Geoinformatics
former Professor
Room H057
12249 Berlin
Office hours
Mo.: 12:30 - 14:00
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since 10/2013: FU Berlin, Department of Earth Sciences, Working Group Remote Sensing and Geoinformatics, Professor for Remote Sensing and Geoinformationsystems
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04/2012 – 09/2013: University of Bonn, Institute of Geodesy and Geoinformation;
Lehrstuhlvertretung (Deputy Professorship) for Photogrammetry. -
09/2009 - 09/2013: University of Bonn, Institute of Geodesy and Geoinformation; Juniorprofessor (Assistant Professor) for Remote Sensing in Agriculture.
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01/2008 - 08/2009: Háskoli Íslands (University of Iceland), Reykjavik, Iceland, Faculty of Electrical and Computer Engineering, Postdoc.
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10/2004 - 01/2008: Center for Remote Sensing of Land Surfaces (ZFL), University of Bonn; Project scientist and PhD student.
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03/2003 - 06/2004: University of Munich (LMU), Department of Geography, Physical Geography and Remote Sensing; Project scientist.
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10/1996 - 10/2002. University of Trier, Department of Geography and Geosciences; Studies of Applied Environmental Sciences (Diploma).
Please see the university course catalog
My current research activities concentrate on multidisciplinary approaches, with a strong focus on monitoring land use cover and land use cover change. The research projects comprises the development of advanced image processing techniques including state-of-the art classification methods. A particular focus is the synergetic usage of optical and SAR data. A particular focus is the synergetic usage of optical and SAR data. The current regional focus of is Eastern Europe, Brazilian Amazon and Germany.
Peer-reviewed Papers
Zhang, S., Foerster, S., Medeiros, P., de Araújo, J. C., & Waske, B. (2018). Effective water surface mapping in macrophyte-covered reservoirs in NE Brazil based on TerraSAR-X time series. International Journal of Applied Earth Observation and Geoinformation, 69, 41-55. doi: https://doi.org/10.1016/j.jag.2018.02.014
Hagensieker, R., & Waske, B. (2018). Evaluation of Multi-Frequency SAR Images for Tropical Land Cover Mapping. Remote Sensing, 10(2), 1-16. http://dx.doi.org/10.3390/rs10020257
Hagensieker, R., Roscher, R., Rosentreter, J., Jakimow, B., & Waske, B. (2017). Tropical land use land cover mapping in Pará (Brazil) using discriminative Markov random fields and multi-temporal TerraSAR-X data. International Journal of Applied Earth Observation and Geoinformation, 63, 244-256. http://dx.doi.org/10.1016/j.jag.2017.07.019
Rosentreter, J., Hagensieker, R., Okujeni, A., Roscher, R., Wagner, P. D., & Waske, B. (2017). Subpixel Mapping of Urban Areas Using EnMAP Data and Multioutput Support Vector Regression. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10(5), 1938-1948. http://dx.doi.org/10.1109/jstars.2017.2652726
Locher-Krause, K., Volk, M., Waske, B., Thonfeld, F., & Lautenbach, S. (2017): Expanding temporal resolution in landscape transformations: Insights from a Landsat-based case study in Southern Chile. _Ecological Indicators_, 75, pp. 132-144, http://dx.doi.org/10.1016/j.ecolind.2016.12.036.
Mack, B. & Waske, B. (2017): In-depth comparisons of MaxEnt, biased SVM and one-class SVM for one-class classification of remote sensing data. /Remote Sensing Letters/, 8, pp- 290-299. http://dx.doi.org/10.1080/2150704X.2016.1265689
Trinder, J. & Waske, B. (2016): Theme section for 36th International Symposium for Remote Sensing of the Environment in Berlin, /ISPRS Journal of Photogrammetry and Remote Sensing/, 119, pp. 463, http://dx.doi.org/10.1016/j.isprsjprs.2016.08.005.
Mack, B., Roscher, R., Stenzel, S., Feilhauer, H., Schmidtlein, S. & Waske B. (2016). Mapping raised bogs with an iterative one-class classification approach./ISPRS Journal of Photogrammetry and Remote Sensing/, 120, pp. 53-64. http://dx.doi.org/10.1016/j.isprsjprs.2016.07.008.
Zhang, S., Foerster, S., Medeiros, P., de Araújo, JC., Motagh, M., & Waske B. Bathymetric survey of water reservoirs in north-eastern Brazil based on TanDEM-X satellite data. /Science of The Total Environment/, 571, pp. 575-593. http://dx.doi.org/10.1016/j.scitotenv.2016.07.024
Wagner, P. D., & Waske, B. (2016). Importance of spatially distributed hydrologic variables for land use change modeling. /Environmental Modelling & Software/, 83, pp. 245-254. http://dx.doi.org/10.1016/j.envsoft.2016.06.005
Joshi, N., Baumann, M., Ehammer, A., Fensholt, R., Grogan, K., Hostert, P., Jepsen, M.R., Kuemmerle, T., Meyfroidt, P., Mitchard, E.T.A., Reiche, J., Ryan, C.M., & Waske, B. (2016). A Review of the Application of Optical and Radar Remote Sensing Data Fusion to Land Use Mapping and Monitoring. Remote Sensing, 8(1), pp. 1-23. doi:10.3390/rs8010070
Roscher, R., & Waske, B. (2016). Shapelet-Based Sparse Representation for Landcover Classification of Hyperspectral Images. IEEE Transactions on Geoscience and Remote Sensing, 54(3), pp. 1623-1634. doi: 10.1109/TGRS.2015.2484619.
Du, P., Samat, A., Waske, B., Liu, S., & Li, Z. (2015). Random Forest and Rotation Forest for fully polarized SAR image classification using polarimetric and spatial features. ISPRS Journal of Photogrammetry and Remote Sensing, 105, pp. 38-53. doi: 10.1016/j.isprsjprs.2015.03.002
Mack, B.; Roscher, R. & Waske, B. (2014), 'Can I Trust My One-Class Classification?', Remote Sensing 6(9), 8779-8802.
Stefanski, J.; Chaskovskyy, O. & Waske, B. (2014), 'Mapping and monitoring of land use changes in post-Soviet western Ukraine using remote sensing data ', Applied Geography 55, 155-164.
Stefanski, J.; Kuemmerle, T.; Chaskovskyy, O.; Griffiths, P.; Havryluk, V.; Knorn, J.; Korol, N.; Sieber, A. & Waske, B. (2014), 'Mapping Land Management Regimes in Western Ukraine Using Optical and SAR Data', Remote Sensing 6(6), 5279-5305.
Suess, S.; van der Linden, S.; Leitao, P.; Okujeni, A.; Waske, B. & Hostert, P. (2014), 'Import Vector Machines for Quantitative Analysis of Hyperspectral Data', IEEE Geoscience and Remote Sensing Letters 11(2), 449-453.
Stefanski, J.; Mack, B. & Waske, B. (2013), 'Optimization of Object-Based Image Analysis With Random Forests for Land Cover Mapping', IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 6(6), 2492-2504.
Klemenjak, S.; Waske, B.; Valero, S. & Chanussot, J. (2012), 'Automatic Detection of Rivers in High-Resolution SAR Data', IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 5(5, SI), 1364-1372.
Roscher, R.; Foerstner, W. & Waske, B. (2012), '(IVM)-V-2: Incremental import vector machines', Image and VIsion Computing 30(4-5), 263-278.
Roscher, R.; Waske, B. & Foerstner, W. (2012), 'Incremental Import Vector Machines for Classifying Hyperspectral Data', IEEE Transactions on Geoscience and Remote Sensing 50(9), 3463-3473.
Waske, B.; van der Linden, S.; Oldenburg, C.; Jakimow, B.; Rabe, A. & Hostert, P. (2012), 'imageRF - A user-oriented implementation for remote sensing image analysis with Random Forests', Environmental Modelling and Software 35, 192-193.
Castaings, T.; Waske, B.; Benediktsson, J. A. & Chanussot, J. (2010), 'On the influence of feature reduction for the classification of hyperspectral images based on the extended morphological profile', International Journal of Remote Sensing 31(22), 5921-5939.
Dalla Mura, M.; Benediktsson, J. A.; Waske, B. & Bruzzone, L. (2010), 'Morphological Attribute Profiles for the Analysis of Very High Resolution Images', IEEE Transactions on Geoscience and Remote Sensing 48(10), 3747-3762.
Dalla Mura, M.; Benediktsson, J. A.; Waske, B. & Bruzzone, L. (2010), 'Extended profiles with morphological attribute filters for the analysis of hyperspectral data', International Journal of Remote Sensing 31(22), 5975-5991.
Valero, S.; Chanussot, J.; Benediktsson, J. A.; Talbot, H. & Waske, B. (2010), 'Advanced directional mathematical morphology for the detection of the road network in very high resolution remote sensing images', Pattern Recognition Letters 31(10, SI), 1120-1127.
Waske, B.; van der Linden, S.; Benediktsson, J. A.; Rabe, A. & Hostert, P. (2010), 'Sensitivity of Support Vector Machines to Random Feature Selection in Classification of Hyperspectral Data', IEEE Transactions on Geoscience and Remote Sensing 48(7), 2880-2889.
Udelhoven, T.; van der Linden, S.; Waske, B.; Stellmes, M. & Hoffmann, L. (2009), 'Hypertemporal Classification of Large Areas Using Decision Fusion', IEEE Geoscience and Remote Sensing Letters 6(3), 592-596.
Waske, B.; Benediktsson, J. A.; Arnason, K. & Sveinsson, J. R. (2009), 'Mapping of hyperspectral AVIRIS data using machine-learning algorithms', Canadian Journal of Remote Sensing 35(1, SP), S106-S116.
Waske, B. & Braun, M. (2009), 'Classifier ensembles for land cover mapping using multitemporal SAR imagery', ISPRS Journal of Phogrammetry and Remote Sensing 64(5), 450-457.
Waske, B. & van der Linden, S. (2008), 'Classifying multilevel imagery from SAR and optical sensors by decision fusion', IEEE Transactions on Geoscience and Remote Sensing 46(5), 1457-1466.
van der Linden, S.; Janz, A.; Waske, B.; Eiden, M. & Hostert, P. (2007), 'Classifying segmented hyperspectral data from a heterogeneous urban environment using support vector machines', Journal of Applied Remote Sensing 1.
Waske, B. & Benediktsson, J. A. (2007), 'Fusion of support vector machines for classification of multisensor data', IEEE Transactions on Geoscience and Remote Sensing 45(12, 1), 3858-3866.
Waske, B.; Braun, M. & Menz, G. (2007), 'A segment-based speckle filter using multisensoral remote sensing imagery', IEEE Geoscience and Remote Sensing Letters 4(2), 231-235.