Hans van der Kwast Dr., MSc

Senior lecturer in Ecohydrological Modeling


Johannes van der Kwast finished a Master in Physical Geography at Utrecht University in the Netherlands in 2002 with a specialization in GIS and Remote Sensing. In 2002 he was appointed at the Faculty of Geosciences of Utrecht University as an junior lecturer in GIS, lecturing theory and concepts of GIS and Remote Sensing to MSc students. Furthermore, he developed and supervised computer-assisted courses on image processing and GIS. In 2009 he finished his PhD at Utrecht University on the integration of remote sensing in spatial dynamic modelling of soil moisture using data-assimilation techniques implemented in the PCRaster Python framework.

From 2007 to 2012 he worked at the Flemish Institute for Technological Research (VITO) where he was appointed as a researcher in spatial dynamical environmental modelling. He participated in projects related to water quality modelling, land-use change modelling and the use of remote sensing data for urban applications. Since April 2012 he is appointed as lecturer in ecohydrological modelling at IHE Delft. He teaches in Open Source GIS and modelling and is involved capacity development and research projects.


  • Essa, W., Van der Kwast, J., Verbeiren, B. and Batelaan, O.: Downscaling of thermal images over urban areas using the land surface temperature–impervious percentage relationship, International Journal of Applied Earth Observation and Geoinformation, 23, 95–108, doi:10.1016/j.jag.2012.12.007.
  • Essa, W., Verbeiren, B., Van der Kwast, J., Van de Voorde, T. and Batelaan, O.: Evaluation of the DisTrad thermal sharpening methodology for urban areas, International Journal of Applied Earth Observation and Geoinformation, 19, 163–172, doi:10.1016/j.jag.2012.05.010 [online] Available from: http://dx.doi.org/10.1016/j.jag.2012.05.010.
  • Van de Voorde, T., Van der Kwast, J., Canters, F., Engelen, G., Binard, M., Cornet, Y. and Uljee, I.: A Remote Sensing Based Calibration Framework for the MOLAND Urban Growth Model of Dublin, International Journal of Agricultural and Environmental Information Systems, 3(2), 1–21, doi:10.4018/jaeis.2012070101.
  • Van der Kwast, J., Canters, F., Karssenberg, D., Engelen, G., Van de Voorde, T., Uljee, I. and De Jong, K.: Remote sensing data assimilation in modeling urban dynamics: Objectives and methodology, Procedia Environmental Sciences, 7, 140–145, doi:10.1016/j.proenv.2011.07.025.
  • Van der Kwast, J., Van de Voorde, T., Canters, F., Uljee, I., Van Looy, S. and Engelen, G.: Inferring urban land use using the optimised spatial reclassification kernel, Environmental Modelling & Software, 26(11), 1279–1288, doi:10.1016/j.envsoft.2011.05.012.
  • Van de Voorde, T., Van der Kwast, J., Uljee, I., Engelen, G. and Canters, F.: Improving the calibration of the MOLAND urban growth model with land-use information derived from a time-series of medium resolution remote sensing data, in Computational Science and Its Applications – ICCSA 2010, vol. 6016, edited by D. Taniar, O. Gervasi, B. Murgante, E. Pardede, and B. O. Apduhan, pp. 89–104, Springer Berlin Heidelberg, Berlin, Heidelberg. [online] Available from: http://www.springerlink.com/content/l7070l534g654455/.
  • Su, Z., Timmermans, W. J., Van Der Tol, C., Dost, R., Bianchi, R., Gomez, J. A., House, A., Hajnsek, I., Menenti, M., Magliulo, V., Esposito, M., et al.: EAGLE 2006 – Multi-purpose, multi-angle and multi-sensor in-situ and airborne campaigns over grassland and forest, Hydrology and Earth System Sciences, 13(6), 833–845, doi:10.5194/hess-13-833-2009.
  • Van der Kwast, J., Timmermans, W., Gieske, A., Su, Z., Olioso, A., Jia, L., Elbers, J., Karssenberg, D. and De Jong, S.: Evaluation of the Surface Energy Balance System (SEBS) applied to ASTER imagery with flux-measurements at the SPARC 2004 site (Barrax, Spain), Hydrology and Earth System Sciences, 13(7), 1337–1347, doi:10.5194/hess-13-1337-2009.
  • Nick, F. M., Van der Kwast, J. and Oerlemans, J.: Simulation of the evolution of Breidamerkurjokull in the late Holocene, Journal of Geophysical Research, 112(B1), B01103, doi:10.1029/2006JB004358.
  • Karssenberg, D., De Jong, K. and Van der Kwast, J.: Modelling landscape dynamics with Python, International Journal of Geographical Information Science, 21(5), 483–495, doi:10.1080/13658810601063936.