dr.ir. W. Bijker (Wietske)

Assistant Professor

About Me


My research focusses on remote sensing of Earth surface processes with gradually evolving changes in time and in space. Over the years, this research included monitoring individual trees as vague objects that gradually change through time, monitoring gradual changes in lakes and shorelines using fuzzy approaches, mapping and monitoring agricultural crops and their gradual development over time as well as monitoring of deforestation and related land cover changes, like regeneration of forest. I have guided 5 PhD students and many MSc students during their research.



Currently, I teach change detection using remote sensing, monitoring (fuzzy) objects in the MSc Geo-information and Earth Observation course. I am also part of the development/coordinator team of the new MSc course Spatial Engineering, tutor for the case study project of food security and mentor in this course, as well as module developer and coordinator of the International module. In the past I also taught timeseries analysis and coordinated the remote sensing module including preparation and grading of the ITC-wide remote sensing exam. I obtained my University Teaching Qualification and my Certificate of English Proficiency.



The SMARTseeds project (2016-2020), led by ICCO, aims at providing information services for vegetable farmers in Indonesia under the Geodata for Agriculture and Water (G4AW) programme. In this project I led the development of the remote sensing component for vegetable mapping. This project is now resulting in a social enterprise. 

In the ITC-led project Spurring a Transformation for Agriculture through Remote Sensing (STARS) (2014-2016), financed by the Bill & Melinda Gates Foundation, I was part of the team.

In “Roadmap for the use of geo-spatial information by the Philippines Commission on Audit (COA)” (2016), I co-developed and taught the course together with the Dutch Supreme Audit Institute, financed by the World Bank.

For the tailor made course “Development of Evacuation Routes and Determination of Shelter Accessibility Using High Resolution Satellite Imagery” under the project “Spatial Data Management and Identification of the most Vulnerable Schools and Shelters in Dominica” (2014), I co-developed and taught the course on request of the World Bank.

The PEP project Boom & Beeld (Tree and Image, 2008-2011) on mapping and monitoring urban trees, together with NEO and Alterra, did the technical ground work for the current tree register of The Netherlands www.boomregister.nl. In this project I co-supervised the AIO developing the algorithms.

In the project “Use of Geographical Information System for Audit of Disaster-Related Aid” for International Organization of Supreme Audit Institutes (INTOSAI), Indonesian and Dutch Supreme Audit Institutes, I developed a method and 2-weeks training for the use of GIS and RS (2007-2008) together with an Indonesian consultant.

For the two tailor made courses on "The potential of geo-informatics to combat drought, desertification and food insecurity" in Ethiopia (2003) and Mozambique (2004), I co-developed and taught the courses, financed by Nuffic.


Academic leadership:

  • Member of the scientific committee of EARSel 2020, Liège
  • Member of the steering committee of GARMON-project for BELSPO (2018-todate)
  • Member of the development/coordinator team for the MSc course Spatial Engineering (2015-present)
  • Member of the management team of the Department of Earth Observation Science, portfolio Capacity Development and Project Acquisition (2013-2016),
  • Vice chair of Female Faculty Network Twente (FFNT) (2010-2015)
  • Member and acting chair of the Programme Committee for education for the MSc course Geo-information science and Earth observation (2010-2016).
  • Course coordinator and student advisor for MSc Geoinformatics (2005-2011)


Engineering & Materials Science
Remote Sensing
Earth & Environmental Sciences
Satellite Image
Shoreline Change


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
Moola, W. S. , Bijker, W. , Belgiu, M. , & Li, M. (2021). Vegetable mapping using fuzzy classification of Dynamic Time Warping distances from time series of Sentinel-1A images  . International Journal of Applied Earth Observation and Geoinformation (JAG), 102, 1-16. Article 102405. Advance online publication. https://doi.org/10.1016/j.jag.2021.102405
Gella, G. W. , Bijker, W. , & Belgiu, M. (2021). Mapping crop types in complex farming areas using SAR imagery with dynamic time warping. ISPRS journal of photogrammetry and remote sensing, 175, 171-183. Advance online publication. https://doi.org/10.1016/j.isprsjprs.2021.03.004
Belgiu, M. , Bijker, W., Csillik, O. , & Stein, A. (2021). Phenology-based sample generation for supervised crop type classification. International Journal of Applied Earth Observation and Geoinformation (JAG), 95, 1-13. Article 102264. Advance online publication. https://doi.org/10.1016/j.jag.2020.102264
Li, M. , & Bijker, W. (2019). Vegetable classification in Indonesia using Dynamic Time Warping of Sentinel-1A dual polarization SAR time series. International Journal of Applied Earth Observation and Geoinformation (JAG), 78(June), 268-280. Advance online publication. https://doi.org/10.1016/j.jag.2019.01.009
Chepkochei, L. C. , Bijker, W. , & Tolpekin, V. A. (2018). Urban tree species classification on pixel and object level with worldview-2 image, using maximum likelihood classifier and support vector machine. Paper presented at RCMRD Second Annual International Conference, RIC 2018, Nairobi, Kenya.
Li, M. , & Bijker, W. (2018). Potential of multi-temporal Sentinel-1A Dual polarization SAR images for vegetable classification in Indonesia. In IGARSS 2018 : IEEE International Geoscience and Remote Sensing Symposium : Observing, Understanding and Forecasting the Dynamics of Our Planet (IEEE Catalog Number: CFP18IGA-ART ed., pp. 3828-3831). IEEE.
Dewi, R. S. (2018). Multitemporal image analysis for monitoring fuzzy shorelines (331 ed.). [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/10.3990/1.9789036546331

UT Research Information System

Contact Details

Visiting Address

University of Twente
Faculty of Geo-Information Science and Earth Observation
Langezijds (building no. 19), room 1320
Hallenweg 8
7522NH  Enschede
The Netherlands

Mailing Address

University of Twente
Faculty of Geo-Information Science and Earth Observation
Langezijds  1320
P.O. Box 217
7500 AE Enschede
The Netherlands

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