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Peer reviewed papers

  • P. Kempeneers, S. De Backer, W. Debruyn, P. Coppin, and P. Scheunders. Generic wavelet-based hyperspectral classification applied to vegetation stress detection. Geoscience and Remote Sensing, IEEE Transactions on, 43(3):610–614, 2005.
  • S. De Backer, P. Kempeneers, W. Debruyn, and P. Scheunders. A band selection technique for spectral classification. Geoscience and Remote Sensing Letters, IEEE, 2(3):319–323, 2005.
  • B. Deronde, P. Kempeneers, and RM Forster. Imaging spectroscopy as a tool to study sediment characteristics on a tidal sandbank in the Westerschelde. Estuarine, Coastal and Shelf Science, 69(3-4):580–590, 2006.
  • S. Delalieux, J.A.N. Aardt, P.J. Zarco-Tejada, P. Kempeneers, W.W. Verstraeten, P. Coppin, et al. Development of robust hyperspectral indices for the detection of deviations of normal plant state. EARSeL eProceedings, 6:82–93, 2007.
  • B. Deronde, P. Kempeneers, R. Houhuys, J.P. Henriet, and V. Van Lancker. Sediment facies classification of a sandy shoreline by means of airborne imaging spectroscopy. International Journal of Remote Sensing, 29(15):4463–4477, 2008.
  • P. Kempeneers, P.J. Zarco-Tejada, PRJ North, S. de Backer, S. Delalieux, G. Sepulcre-Canto, F. Morales, JAN Van Aardt, R. Sagardoy, P. Coppin, et al. Model inversion for chlorophyll estimation in open canopies from hyperspectral imagery. International journal of remote sensing, 29(17-18):5093–5111, 2008.
  • P. Kempeneers, B. Deronde, S. Provoost, and R. Houthuys. Synergy of airborne digital camera and lidar data to map coastal dune vegetation. Journal of Coastal Research, pages 73–82, 2009.
  • J.C.W. Chan, J. Ma, P. Kempeneers, and F. Canters. Superresolution enhancement of hyperspectral CHRIS/Proba images with a thin-plate spline nonrigid transform model. Geoscience and Remote Sensing, IEEE Transactions on, 48(6):2569–2579, 2010.
  • P. Kempeneers, F. Sedano, L. Seebach, P. Strobl, and J. San-Miguel-Ayanz. Data Fusion of Different Spatial Resolution Remote Sensing Images Applied to Forest-Type Mapping. Geoscience and Remote Sensing, IEEE Transactions on, (99):1–10, 2011.
  • F. Sedano, P. Kempeneers, P. Strobl, D. McInerney, and J. San Miguel. Increasing Spatial Detail of Burned Scar Maps Using IRS-AWiFS Data for Mediterranean Europe. Remote Sensing, 4(3):726–744, 2012.
  • F. Sedano, P. Kempeneers, P. Strobl, J. Kucera, P. Vogt, L. Seebach, and J. San-Miguel-Ayanz. A cloud mask methodology for high resolution remote sensing data combining information from high and medium resolution optical sensors. ISPRS Journal of Photogrammetry and Remote Sensing, 66:588–596, 2011.
  • F. Sedano, P. Kempeneers, J.S. Miguel, P. Strobl, and P. Vogt. Towards a pan-European burnt scar mapping methodology based on single date medium resolution optical remote sensing data. International Journal of Applied Earth Observation and Geoinformation, 2011.
  • P. Kempeneers, F. Sedano, P. Strobl, D.O. McInerney, and J. San-Miguel-Ayanz. Increasing Robustness of Postclassification Change Detection Using Time Series of Land Cover Maps. Geoscience and Remote Sensing, IEEE Transactions on, (99):1–13, 2012.
  • P. Kempeneers, D. McInerney, F. Sedano, J. Gallego, S. Kay, K. Korhonen, and J. San-Miguel. Accuracy assessment of the FMAP2006 pan-European forest map using NFI field plot data. Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE, In Press.
  • P. Kempeneers, L. Bertels, Kristin Vreys, and Jan Biesemans. Propagation of errors in forestry applications due to DEM processing of hyperspectral images. Geoscience and Remote Sensing Letters, IEEE, In Review.
  • D. McInerney, P. Kempeneers, H. Eva, and J. San Miguel. An enhanced method of forest mapping using Support Vector Machines and Neural Network classifiers. European Journal of Forest Research, In Preparation.

Book chapters

  • J. San-Miguel-Ayanz, E. Schulte, G. Schmuck, A. Camia, P. Strobl, G. Liberta, C. Giovando, R. Boca, F. Sedano, P. Kempeneers, D. McInerney, C. Withmore, S. Santos de Oliveira, M. Rodrigues, T. Durrant, P. Corti, F. Oehler, L. Vilar, G. Amatulli (2012). Comprehensive Monitoring of Wildfires in Europe: The European Forest Fire Information System (EFFIS). Approaches to Managing Disaster - Assessing Hazards, Emergencies and Disaster Impacts. Tiefenbacher J. (Editor) InTech. pp 87-108
    • J. San-Miguel-Ayanz, D. McInerney, F. Sedano, P. Strobl, P. Kempeneers, A. Pekkarinen, L. Seebach, Global Forest Monitoring from Earth Observation - Use of Wall-to-Wall Moderate and High-Resolution Satellite Imagery to Monitor Forest Cover Across Europe, Ed. E. Chuvieco (Editor), Taylor & Francis Group /CRC Press, In press
wiki/pubpk.txt · Last modified: 2017/12/05 22:53 (external edit)