dr. T. Wang (Tiejun)

Associate Professor
ITC-NRS
Langezijds 1128
t.wang@utwente.nl
+31534874274
Business card

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 and Planetary Sciences

    • Model
    • Datum
    • Investigation
    • Species
    • Forest
    • Area
    • Leaf
    • Biodiversity

Organisations

Tiejun is an Associate Professor in Remote Sensing and Geospatial Ecology at the University of Twente. He received his 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. His career includes 12 years working in the area of nature conservation before moving to university work.

His research focuses on developing and utilizing advanced remote sensing and machine learning technologies to monitor wildlife populations and habitat dynamics. His research helps inform environmental management, supporting sound decision-making on wildlife conservation and the sustainable use of natural resources in a rapidly changing world.

He has successfully supervised 19 Ph.D. students and 35 Master’s students. He is currently supervising 6 Ph.D. students. He also supervises Ph.D. student in collaboration with the University of Oxford. In addition, he is regularly invited to serve as a member of doctoral degree examination committee in Belgium and in South Africa.

Publications

2024
Mapping off-road tracks and animal paths in protected areas using high-resolution GeoEye-1 panchromatic satellite imagery, 5425–5442 (E-pub ahead of print/First online). Chemura, A., Lu, S., Skidmore, A. K., Duporge, I., Lee, S., Yu, Z., Ngene, S. & Wang, T.https://doi.org/10.1080/01431161.2024.2377230Range-wide camera traps reveal potential prey species for Javan leopards, Article e03020, 1-15 (E-pub ahead of print/First online). Ariyanto, A. C., Wang, T., Skidmore, A. K., Wibisono, H., Widodo, F., Firdaus, A., Wiharisno, Y., Koliq, N. & Murdyatmaka, W.https://doi.org/10.1016/j.gecco.2024.e03020Elephants rest more when the poaching risk is high and do not recover the lost time within a diel cycle, Article e02911. IhwagiI, F., Skidmore, A. K., Bastille-Rosseau, G., Wang, T., Toxopeus, A. G. & Douglas-Hamilton, I.https://doi.org/10.1016/j.gecco.2024.e02911Satellite hyperspectral imagery reveals scale dependence of functional diversity patterns in a Qinghai-Tibetan alpine meadow, Article 103868, 1-11. 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.https://doi.org/10.1016/j.jag.2024.103868Retrieving leaf lignocellulose of conifer species using PROSPECT-PRO model. Torres Rodriguez, A., Darvishzadeh, R., Skidmore, A. K. & Wang, T.Mapping soil microbiological biodiversity using simulated CHIME hyperspectral data. Skidmore, A. K., Abdullah, H., Siegenthaler, A., Adiningrat, D. P., Duan, Y., Rousseau, M., Torres Rodriguez, A., Darvishzadeh, R., Wang, T. & de Groot, A.Field estimation of fallen deadwood volume under different management approaches in two European protected forested areas, Article cpae013, 1-9. Rousseau, M., Adiningrat, D. P., Skidmore, A. K., Siegenthaler, A., Wang, T. & Abdullah, H.https://doi.org/10.1093/forestry/cpae013Island biogeography theory and the habitat heterogeneity jointly explain global patterns of Rhododendron diversity (E-pub ahead of print/First online). Guan, Y., Wu, Y., Cao, Z., Wu, Z., Yu, F., Yu, H. & Wang, T.https://doi.org/10.1016/j.pld.2024.03.007A review of deep learning techniques for detecting animals in aerial and satellite images, Article 103732, 1-17. Xu, Z., Wang, T., Skidmore, A. K. & Lamprey, R. H.https://doi.org/10.1016/j.jag.2024.103732A comparison of point and bounding box annotation methods to detect wild animals using remote sensing and deep learning, Article 18868. Xu, Z., Wang, T., Skidmore, A. K. & Lamprey, R. H.https://doi.org/10.5194/egusphere-egu24-18868An enhanced algorithm for co-registering individual trees extracted from airborne LiDAR and aerial photographs, Article 6725. Xu, Y., Wang, T. & Skidmore, A. K.https://doi.org/10.5194/egusphere-egu24-6725Satellite-based monitoring of the world’s largest terrestrial mammal migration using deep learning, Article 10882. 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.https://doi.org/10.5194/egusphere-egu24-10882A new multiangle method for estimating fractional biocrust coverage from Sentinel-2 data in arid areas, Article 4404015, 1-15. Sun, H., Ma, X., Liu, Y., Zhou, G., Ding, J., Lu, L., Wang, T., Yang, Q., Shu, Q. & Zhang, F.https://doi.org/10.1109/TGRS.2024.3361249
2023
Deep learning enables satellite-based monitoring of large populations of terrestrial mammals across heterogeneous landscape, Article 3072. 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.https://doi.org/10.1038/s41467-023-38901-yHabitat visibility affects the behavioral response of a large herbivore to human disturbance in forest landscapes, Article 119244, 1-11. Zong, X., Wang, T., Skidmore, A. K. & Heurich, M.https://doi.org/10.1016/j.jenvman.2023.119244Integrated 1D, 2D, and 3D CNNs enable robust and efficient land cover classification from hyperspectral imagery, Article 4797, 1-16. Liu, J., Wang, T., Skidmore, A. K., Sun, Y., Jia, P. & Zhang, K.https://doi.org/10.3390/rs15194797A novel approach to match individual trees between aerial photographs and airborne LiDAR data, Article 4128, 1-24. Xu, Y., Wang, T., Skidmore, A. K. & Gara, T.https://doi.org/10.3390/rs15174128Advancing Animal Ecology through LiDAR-Based 3D Visibility Analysis. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). Zong, X.https://doi.org/10.3990/1.9789036556613Using open-source biodiversity data to predict present and future macrofungal diversity and distribution in Europe. University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC). Yu, H.https://doi.org/10.3990/1.9789036556637LiDAR reveals a preference for intermediate visibility by a forest-dwelling ungulate species, 1306-1319. Zong, X., Wang, T., Skidmore, A. K. & Heurich, M.https://doi.org/10.1111/1365-2656.13847A pixel dichotomy coupled linear kernel-driven model for estimating fractional vegetation cover in arid areas from high-spatial-resolution images, Article 4406015, 1-15. Ma, X., Ding, J., Wang, T., Lu, L., Sun, H., Zhang, F., Chen, X. & Nurmemet, I.https://doi.org/10.1109/TGRS.2023.3289093How future climate and tree distribution changes shape the biodiversity of macrofungi across Europe, 666-682. Yu, H., Wang, T., Skidmore, A. K., Heurich, M. & Bässler, C.https://doi.org/10.1111/ddi.13688An improved area-based approach for estimating plot-level tree DBH from airborne LiDAR data, Article 100089. Zhang, Z., Wang, T., Skidmore, A. K., Cao, F., She, G. & Cao, L.https://doi.org/10.1016/j.fecs.2023.100089
2022
A satellite perspective on the movement decisions of African elephants in relation to nomadic pastoralists, 841-854. Duporge, I., Finerty, G. E., Ihwagi, F., Lee, S., Wathika, J., Wu, Z., Macdonald, D. W. & Wang, T.https://doi.org/10.1002/rse2.285Mapping the relative abundance of soil microbiome biodiversity from eDNA and remote sensing, Article 100065. Skidmore, A. K., Siegenthaler, A., Wang, T., Darvishzadeh, R., Zhu, X., Chariton, A. & de Groot, G. A.https://doi.org/10.1016/j.srs.2022.100065

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 1128
Hallenweg 8
7522 NH Enschede
Netherlands

Navigate to location

Organisations

Additional contact information

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

Scan the QR code or
Download vCard