prof.dr.ir. A. Stein (Alfred)

Full Professor

About Me

Prof. dr. ir. Alfred Stein (1958) is professor in Spatial Statistics and Image Analysis. He received his MSc in mathematics and information science, with a specialization in applied statistics from Eindhoven University of Technology and his PhD at Wageningen University. He started his career at the soil science and geology department of Wageningen university, leading to a professorship at the chair of mathematical and statistical models in 2000. In 1995 he was appointed as a visiting professor at the - then - Institute of ITC where in 2002 he became professor at the new department of Earth Observation Science, which he has headed for more than 10 years. From 2008 until 2020 he has been a member of the faculty board alternating with the portfolios of research and education.

His research interests focus on statistical aspects of spatial and spatio-temporal data, e.g. monitoring data, in the widest sense. Optimal sampling, image analysis, spatial statistics, use of prior information, but also issues of data quality, fuzzy techniques, random sets, all in a Bayesian setting.

From 1998 onwards he has been working with more than 50 PhD students on a range of spatial (and temporal) statistical topics. At present, 12 PhD students are working under his supervision. Since 2011 he is the editor-in-chief of Spatial Statistics, the leading platform in the domain of spatial statistics. It publishes articles at the highest scientific level concerning important and timely developments in the theory and applications of spatial and spatio-temporal statistics. He is associate editor of the International Journal of Applied Geoinformation and Earth Observation and Environmental and Ecological Statistics. 

For more information about Alfred Stein see the UT's Featured Scientists page:


Engineering & Materials Science
Remote Sensing
Earth & Environmental Sciences
Image Resolution
Remote Sensing
Synthetic Aperture Radar

Ancillary Activities

  • Elsevier
    Editor-in-chief Spatial Statistics
  • Elsevier
    Conference organization
  • MER commissie
    MER commissie Waddenzee


Zhang, B. (2023). Quantifying earth surface changes with multi-sensor SAR imagery. [PhD Thesis - Research UT, graduation UT, University of Twente, Faculty of Geo-Information Science and Earth Observation]. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). https://doi.org/10.3990/1.9789036554985
Aghababaei, H. , & Stein, A. (2023). Speckle Reduction in SAR Images. In Spaceborne Synthetic Aperture Radar Remote Sensing: Techniques and Applications (pp. 13-44). CRC Press (Taylor & Francis). https://doi.org/10.1201/9781003204466-2
Katumba, S., Coetzee, S. , Stein, A., & Fabris-Rotelli, I. (2023). Using spatial indices to measure dynamic racial residential segregation in Gauteng province (South Africa). South African geographical journal, 105(1), 1-33. https://doi.org/10.1080/03736245.2021.1997793
Ranjit, B. , Aghababaei, H. , Bijker, W. , & Stein, A. (2022). TomoSAR derived features for estimation of Forest Structure and Fuel load. In EUSAR 2022 - 14th European Conference on Synthetic Aperture Radar (pp. 121-125). (Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR; Vol. 2022-July). IEEE. https://ieeexplore.ieee.org/document/9944227

UT Research Information System

Courses Academic Year  2022/2023

Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.

Courses Academic Year  2021/2022

Contact Details

Visiting Address

University of Twente
Faculty of Geo-Information Science and Earth Observation
Langezijds (building no. 19), room 1330
Hallenweg 8
7522NH  Enschede
The Netherlands

Mailing Address

University of Twente
Faculty of Geo-Information Science and Earth Observation
Langezijds  1330
P.O. Box 217
7500 AE Enschede
The Netherlands

Additional Contact Information