Welcome...

dr. T. Wang (Tiejun)

Associate Professor

About Me

I am an Associate Professor in Ecological Remote Sensing at the University of Twente. I received my Ph.D. degree in Spatial Ecology from Wageningen University in 2009 and the MSc degree in GIS and Remote Sensing from the International Institute for Geo-information Science and Earth Observation (ITC) in 2003. My career includes 12 years working in the area of nature conservation before moving to university work. I teach postgraduate coursework in Remote Sensing and Statistics. 

My research focuses on biodiversity mapping and monitoring using satellite remote sensing, ecological niche modeling, and artificial intelligence techniques. I am particularly interested in how ecologically relevant information can be extracted from remotely sensed data at different spatial and temporal scales, and how the information can help us better understand the impacts of land use and climate change on biodiversity and ecosystem functioning, and how this knowledge can be used for guiding biodiversity conservation, and thereby achieving sustainable development goals.

I have successfully supervised 17 Ph.D. students and 36 Master’s students. I am currently supervising 9 Ph.D. students. I also supervise Ph.D. student in collaboration with the University of Oxford. In addition, I am regularly invited to serve as a member of doctoral degree examination committee in Belgium and in South Africa.

Expertise

Earth & Environmental Sciences
Biodiversity
Canopy
Elephant
Laser
Leaf Area Index
Remote Sensing
Agriculture & Biology
Elephantidae
Remote Sensing

Publications

Recent
Wu, Z. , Wang, T., Zhang, C., Duporge, I., Gu, X., Hughey, L., Stabach, J. , Skidmore, A. K., Hopcraft, G., Atkinson, P., McCauley, D., Lamprey, R. H., Ngene, S., & Gong, P. (2024). Satellite-based monitoring of the world’s largest terrestrial mammal migration using deep learning. Abstract from EGU General Assembly 2024, Vienna, Austria. https://doi.org/10.5194/egusphere-egu24-10882
Zhang, Y.-W., Guo, Y., Feng, Y., Zhang, Z., Tang, R., Bai, Y.-H., Zhang, H.-T., Lin, Y.-W., Zhu, J. , Wang, T., & Tang, Z. (2024). Satellite hyperspectral imagery reveals scale dependence of functional diversity patterns in a Qinghai-Tibetan alpine meadow. International Journal of Applied Earth Observation and Geoinformation, 129, 1-11. Article 103868. https://doi.org/10.1016/j.jag.2024.103868
Torres Rodriguez, A. , Darvishzadeh, R. , Skidmore, A. K. , & Wang, T. (2024). Retrieving leaf lignocellulose of conifer species using PROSPECT-PRO model. Abstract from 13th EARSeL Workshop on Imaging Spectroscopy 2024, Valencia, Spain.
IhwagiI, F. , Skidmore, A. K., Bastille-Rosseau, G. , Wang, T. , Toxopeus, A. G., & Douglas-Hamilton, I. (2024). Elephants rest more when the poaching risk is high and do not recover the lost time within a diel cycle. Global Ecology and Conservation, 51, Article e02911. Advance online publication. https://doi.org/10.1016/j.gecco.2024.e02911
Xu, Z. , Wang, T. , Skidmore, A. K., & Lamprey, R. H. (2024). A review of deep learning techniques for detecting animals in aerial and satellite images. International Journal of Applied Earth Observation and Geoinformation, 128, 1-17. Article 103732. https://doi.org/10.1016/j.jag.2024.103732
Sun, H., Ma, X., Liu, Y., Zhou, G., Ding, J., Lu, L. , Wang, T., Yang, Q., Shu, Q., & Zhang, F. (2024). A new multiangle method for estimating fractional biocrust coverage from Sentinel-2 data in arid areas. IEEE transactions on geoscience and remote sensing, 62, 1-15. Article 4404015. https://doi.org/10.1109/TGRS.2024.3361249
Ma, X., Ding, J. , Wang, T., Lu, L., Sun, H., Zhang, F., Chen, X., & Nurmemet, I. (2023). A pixel dichotomy coupled linear kernel-driven model for estimating fractional vegetation cover in arid areas from high-spatial-resolution images. IEEE transactions on geoscience and remote sensing, 61, 1-15. Article 4406015. https://doi.org/10.1109/TGRS.2023.3289093
Yu, H. (2023). Using open-source biodiversity data to predict present and future macrofungal diversity and distribution in Europe. [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/10.3990/1.9789036556637
Zong, X. (2023). Advancing Animal Ecology through LiDAR-Based 3D Visibility Analysis. [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/10.3990/1.9789036556613
Wu, Z., Zhang, C., Gu, X., Duporge, I., Hughey, L., Stabach, J. , Skidmore, A. K., Hopcraft, G., Lee, S., Atkinson, P., McCauley, D., Lamprey, R. , Ngene, S. M. , & Wang, T. (2023). Deep learning enables satellite-based monitoring of large populations of terrestrial mammals across heterogeneous landscape. Nature communications, 14, Article 3072. https://doi.org/10.1038/s41467-023-38901-y

UT Research Information System

Google Scholar Link

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

Contact Details

Visiting Address

University of Twente
Faculty of Geo-Information Science and Earth Observation
Langezijds (building no. 19), room 1128
Hallenweg 8
7522NH  Enschede
The Netherlands

University of Twente
Faculty of Geo-Information Science and Earth Observation
Langezijds (building no. 19), room 1128
Hallenweg 8
7522NH  Enschede
The Netherlands

Mailing Address

University of Twente
Faculty of Geo-Information Science and Earth Observation
Langezijds  1128
P.O. Box 217
7500 AE Enschede
The Netherlands

Additional Contact Information

https://research.utwente.nl/en/persons/tiejun-wang