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Publications Prof. Dr. Björn Waske

Wittstruck, L., Jarmer, T., Trautz, D., & Waske, B. (2022). Estimating LAI From Winter Wheat Using UAV Data and CNNs. IEEE Geoscience and Remote Sensing Letters, 19, https://doi.org/10.1109/lgrs.2022.3141497

Zhang, S. P., Foerster, S., Medeiros, P., de Araujo, J. C., Duan, Z., Bronstert, A., & Waske, B. (2021). Mapping regional surface water volume variation in reservoirs in northeastern Brazil during 2009-2017 using high-resolution satellite images. Science of the Total Environment, 789, https://doi.org/10.1016/j.scitotenv.2021.147711.

Muro, J., Varea, A., Strauch, A., Guelmami, A., Fitoka, E., Thonfeld, F., Diekkrüger, B., & Waske, B. (2020). Multitemporal optical and radar metrics for wetland mapping at national level in Albania. Heliyon, 6, https://doi.org/10.1016/j.heliyon.2020.e04496

Fenske, K., Feilhauer, H., Förster, M., Stellmes, M., & Waske, B. (2020). Hierarchical classification with subsequent aggregation of heathland habitats using an intra-annual RapidEye time-series. International Journal of Applied Earth Observation and Geoinformation, 87, 102036.

Rosentreter, J., Hagensieker, R., & Waske, B. (2020). Towards large-scale mapping of local climate zones using multitemporal Sentinel 2 data and convolutional neural networks. Remote Sensing of Environment, 237, 111472.

Crowson, M., Hagensieker, R., & Waske, B., 2019. Mapping land cover change in northern Brazil with limited training data. International Journal of Applied Earth Observation and Geoinformation, 78, 202-214.

Haburaj, V., Krause, J., Pless, S., Waske, B., & Schutt, B. (2019). Evaluating the Potential of Semi-Automated Image Analysis for Delimiting Soil and Sediment Layers. Journal of Field Archaeology, 44(8), 538-549.

Marchetti, F., Waske, B., Arbelo, M., Moreno-Ruíz, J. A., & Alonso-Benito, A. (2019). Mapping Chestnut Stands Using Bi-Temporal VHR Data. Remote Sensing, 11(21), 2560.

Baumann, M., Levers, C., Macchi, L., Bluhm, H., Waske, B., Gasparri, N. I., & Kuemmerle, T. (2018). Mapping continuous fields of tree and shrub cover across the Gran Chaco using Landsat 8 and Sentinel-1 data. Remote Sensing of Environment, 216, 201-211. doi: 10.1016/j.rse.2018.06.044

Hagensieker, R., & Waske, B. (2018). Evaluation of Multi-Frequency SAR Images for Tropical Land Cover Mapping. Remote Sensing, 10(2), 1-16. doi: 10.3390/rs10020257

Muro, J., Strauch, A., Heinemann, S., Steinbach, S., Thonfeld, F., Waske, B., & Diekkruger, B. (2018). Land surface temperature trends as indicator of land use changes in wetlands. International Journal of Applied Earth Observation and Geoinformation, 70, 62-71. doi: 10.1016/j.jag.2018.02.002

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: 10.1016/j.jag.2018.02.014

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. doi: 10.1016/j.jag.2017.07.019

Locher-Krause, K. E., 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, 132-144. doi: 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(3), 290-299. doi: 10.1080/2150704X.2016.1265689

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. doi: 10.1109/jstars.2017.2652726

Joshi, N., Baumann, M., Ehammer, A., Fensholt, R., Grogan, K., Hostert, P., . . . 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), 70.

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, 463-463. doi:10.1016/j.isprsjprs.2016.08.005

Wagner, P. D., & Waske, B. (2016). Importance of spatially distributed hydrologic variables for land use change modeling. Environmental Modelling & Software, 83, 245-254. doi: 10.1016/j.envsoft.2016.06.005

Zhang, S. P., Foerster, S., Medeiros, P., de Araujo, J. C., Motagh, M., & Waske, B. (2016). Bathymetric survey of water reservoirs in north-eastern Brazil based on TanDEM-X satellite data. Science of The Total Environment, 571, 575-593. doi: 10.1016/j.scitotenv.2016.07.024

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, 53-64. doi: 10.1016/j.isprsjprs.2016.07.008

Roscher, R., & Waske, B. (2016). Shapelet-Based Sparse Representation for Landcover Classification of Hyperspectral Images. Geoscience and Remote Sensing, IEEE Transactions on, 54(3), 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(0), 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. doi: 10.3390/Rs6098779

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. doi: 10.1016/j.apgeog.2014.08.003

Stefanski, J., Kuemmerle, T., Chaskovskyy, O., Griffiths, P., Havryluk, V., Knorn, J., . . . Waske, B. (2014). Mapping Land Management Regimes in Western Ukraine Using Optical and SAR Data. Remote Sensing, 6(6), 5279-5305. doi:  10.3390/Rs6065279

Suess, S., van der Linden, S., Leitao, P. J., 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. doi:  10.1109/Lgrs.2013.2265102

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. doi:10.1109/Jstars.2013.2253089

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), 1364-1372. doi:  10.1109/Jstars.2012.2189099

Roscher, R., Forstner, W., & Waske, B. (2012). (IVM)-V-2: Incremental import vector machines. Image and Vision Computing, 30(4-5), 263-278. doi: 10.1016/j.imavis.2012.04.004

Roscher, R., Waske, B., & Forstner, W. (2012). Incremental Import Vector Machines for Classifying Hyperspectral Data. IEEE Transactions on Geoscience and Remote Sensing, 50(9), 3463-3473. doi: 10.1109/Tgrs.2012.2184292

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 & Software, 35, 192-193. doi: 10.1016/j.envsoft.2012.01.014

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. doi: Pii 930699259

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. doi: Pii 930666649

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. doi:  10.1109/Tgrs.2010.2048116

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), 1120-1127. doi: 10.1016/j.patrec.2009.12.018

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. doi: 10.1109/Tgrs.2010.2041784

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. doi: 10.1109/Lgrs.2009.2021960

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, S106-S116.

Waske, B., & Braun, M. (2009). Classifier ensembles for land cover mapping using multitemporal SAR imagery. Isprs Journal of Photogrammetry and Remote Sensing, 64(5), 450-457. doi: 10.1016/j.isprsjprs.2009.01.003

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. doi: 10.1109/Tgrs.2008.916089

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. doi: 10.1117/1.2813466

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. doi: 10.1109/Lgrs.2006.888849

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), 3858-3866. doi: 10.1109/Tgrs.2007.898446