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

Full Professor
ITC-EOS
Langezijds 1332
a.stein@utwente.nl
+31534874552
Business card

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:

Expertise

  • Earth and Planetary Sciences

    • Model
    • Investigation
    • Image
    • Datum
    • Remote Sensing
    • Cartography
    • Area
    • High Resolution

Organisations

Ancillary activities

  • ElsevierEditor in chief Spatial Statistics
  • ElsevierOrganising Spatial Stats conference
  • Fuzhou UniversityMember of the Key Laboratory of Spatial Data Mining & International Sharing of the Ministry of Education, Fuzhou University
  • Zhuhai UniversityResearch on sea ice

Publications

2024
Improving obesogenic environmental assessments with advanced geospatial methods. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). Dai, S.https://doi.org/10.3990/1.9789036561518The immediate effects of vision-zero corridor upgrades on pedestrian crashes in New York: A before-and-after spatial point process approach, Article 107531. Sehtman-Shachar, S., Billig, P., Stein, A. & Kaplan, S.https://doi.org/10.1016/j.aap.2024.107531Crop type mapping from satellite image time series using deep learning. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). Mohammadi, S.https://doi.org/10.3990/1.9789036560993Interferometric Synthetic Aperture Radar Statistical Inference in Deformation Measurement and Geophysical Inversion: A review, 8-35. Wang, C., Chang, L., Wang, X. S., Zhang, B. & Stein, A.https://doi.org/10.1109/MGRS.2023.3344159Vectorizing planar roof structure from very high resolution remote sensing images using transformers, 1-15. Zhao, W., Persello, C., Lv, X., Stein, A. & Vergauwen, M.https://doi.org/10.1080/17538947.2023.2292637Feature enhancement network for cloud removal in optical images by fusing with SAR images, 51-67. Duan, C., Belgiu, M. & Stein, A.https://doi.org/10.1080/01431161.2023.2292014
2023
Preface: Workshop “ISSDQ 2023: Artificial Intelligence and Uncertainty Modeling in Spatial Analysis”In ISPRS Geospatial Week 2023 (pp. 1989-1990). Copernicus. Delavar, M. R., Stein, A. & Shi, J. W. Z.https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-1989-2023Examining energy and nutrient production across the different agroecological zones in rural Ethiopia using statistical methods, 7565-7580. Bayu, H. G., Belgiu, M., Embibel, L., Baye, K. & Stein, A.https://doi.org/10.1002/fsn3.3676Assessing spatiotemporal bikeability using multi-source geospatial big data: A case study of Xiamen, China, Article 103539. Dai, S., Zhao, W., Wang, Y., Huang, X., Chen, Z., Lei, J., Stein, A. & Jia, P.https://doi.org/10.1016/j.jag.2023.103539Causal inference from cross-sectional earth system data with geographical convergent cross mapping, Article 5875. Gao, B., Yang, J., Chen, Z., Sugihara, G., Li, M., Stein, A., Kwan, M. P. & Wang, J.https://doi.org/10.1038/s41467-023-41619-6

Research profiles

Courses academic year 2023/2024

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 2022/2023

Address

University of Twente

Langezijds (building no. 19), room 1332
Hallenweg 8
7522 NH Enschede
Netherlands

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