Langezijds

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
    • Satellite Image
    • Area

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

2025

Data underlying the PhD thesis of Wen Zhou: Deep Learning Methods for Multiple Building Use and Urban Livability Evaluation from Multimodal Geospatial Data (2025)[Dataset Types › Dataset]. DATA Archiving and Networked Services (DANS). Zhou, W., Stein, A. & Persello, C.https://doi.org/10.17026/PT/VFTW9XDeep learning methods for multiple building use and urban livability: Evaluation from multimodal geospatial data (2025)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). Zhou, W.https://doi.org/10.3990/1.9789036564861A poisson cokriging modeling of mosquito-borne diseases in Colombia (2025)Environmental and ecological statistics. Article e03101 (E-pub ahead of print/First online). Payares-Garcia, D., Osei, F. B., Mateu, J. & Stein, A.https://doi.org/10.1007/s10651-025-00646-wGlobally scalable glacier mapping by deep learning matches expert delineation accuracy (2025)Nature communications, 16(1). Article 43. Maslov, K. A., Persello, C., Schellenberger, T. & Stein, A.https://doi.org/10.1038/s41467-024-54956-xPrevalence and determinants of stunting and anaemia in children aged 6–23 months: A multilevel analysis from rural Ethiopia (2025)Maternal and child nutrition, 21(1), e13736. Article e13736. Guja, H., Belgiu, M., Baye, K. & Stein, A.https://doi.org/10.1111/mcn.13736

2024

A source-free unsupervised domain adaptation method for cross-regional and cross-time crop mapping from satellite image time series (2024)Remote sensing of environment, 314. Article 114385. Mohammadi, S., Belgiu, M. & Stein, A.https://doi.org/10.1016/j.rse.2024.114385Uncontrolled illegal mining and Garimpo in the Brazilian Amazon (2024)Nature communications, 15(1). Article 9847. Cortinhas Ferreira Neto, L., Diniz, C. G., Maretto, R. V., Persello, C., Silva Pinheiro, M. L., Castro, M. C., Sadeck, L. W. R., Filho, A. F., Cansado, J., Souza, A. A. d. A., Feitosa, J. P., Santos, D. C., Adami, M., Souza-Filho, P. W. M., Stein, A., Biehl, A. & Klautau, A.https://doi.org/10.1038/s41467-024-54220-2Design and Use of a Stratum-Based Yield Predictions to Address Challenges Associated with Spatial Heterogeneity and Sample Clustering in Agricultural Fields Using Remote Sensing Data (2024)Sustainability (Switzerland), 16(21). Article 9196. Khechba, K., Laamrani, A., Belgiu, M., Stein, A., Dong, Q. & Chehbouni, A.https://doi.org/10.3390/su16219196Spatial prediction of poverty in Gauteng province (South Africa) in-between Censuses using land use datasets (2024)Transactions in GIS, 28(7), 1979-2004. Katumba, S., Coetzee, S., Stein, A. & Fabris-Rotelli, I.https://doi.org/10.1111/tgis.13227Towards a healthier food system for rural Ethiopia: integrating food production, diets and nutrition (2024)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). Bayu, H. G.https://doi.org/10.3990/1.9789036563130

Research profiles

Courses academic year 2024/2025

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 2023/2024

Address

University of Twente

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

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