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

  • Agricultural and Biological Sciences

    • Area
    • Trees
    • Forests
    • Models
    • Rhododendron
    • Leaves
    • Mountains
    • Climate

Organisations

Tiejun is an Associate Professor in Remote Sensing and Geospatial Ecology at the University of Twente. He obtained his Ph.D. in Spatial Ecology from Wageningen University in 2009 and his MSc in GIS and Remote Sensing from the International Institute for Geo-Information Science and Earth Observation (ITC) in 2003. Prior to his academic career, he spent 12 years working in nature conservation, gaining extensive experience in the field before transitioning to academia.

Tiejun’s research is centered on the development and application of advanced remote sensing and machine learning techniques to monitor wildlife populations and habitat dynamics. His work aims to enhance environmental management and inform policy decisions on wildlife conservation and the sustainable use of natural resources in an era of rapid environmental change.

He has successfully supervised 19 Ph.D. students and 35 Master’s students, and he currently supervises 6 Ph.D. candidates. In addition to his work at the University of Twente, he collaborates with the University of Oxford, co-supervising Ph.D. students. Tiejun is also regularly invited to serve on doctoral examination committees in Belgium and South Africa, reflecting his expertise and leadership in the field.

Publications

Jump to: 2025 | 2024 | 2023

2025

Significant expansion of small water bodies in the Dongting Lake region following the impoundment of the Three Gorges Dam (2025)Journal of environmental management, 376, 1-13. Article 124443. Tian, M., Mao, J., Wang, K., Chen, Y., Gao, H. & Wang, T.https://doi.org/10.1016/j.jenvman.2025.124443Fusing aerial photographs and airborne LiDAR data to improve the accuracy of detecting individual trees in urban and peri-urban areas (2025)Urban Forestry and Urban Greening, 105, 1-12. Article 128696. Xu, Y., Wang, T. & Skidmore, A. K.https://doi.org/10.1016/j.ufug.2025.128696Investigating LiDAR Metrics for Old-Growth Beech- and Spruce-Dominated Forest Identification in Central Europe (2025)Remote sensing, 17(2). Article 251. Adiningrat, D. P., Skidmore, A. K., Schlund, M., Wang, T., Abdullah, H. & Heurich, M.https://doi.org/10.3390/rs17020251Future extreme climate events threaten Alpine and Subalpine woody plants in China (2025)Earth's Future, 13(1), 1-18. Article e2024EF005147. Wu, Y., Shen, J., Deane, D., Yu, H., Yu, F., Wang, X., Cao, Z., Yu, R., Xiao, F., Wang, T. & Wu, Z.https://doi.org/10.1029/2024EF005147

2024

Leaf carbon-based constituents of temperate forest species retrieved using PROSPECT-PRO (2024)Agricultural and forest meteorology, 362. Article 110337 (E-pub ahead of print/First online). Torres Rodriguez, A., Darvishzadeh, R., Skidmore, A. K., Wang, T. & Schuur, B.https://doi.org/10.1016/j.agrformet.2024.110337Ensemble species distribution models reveal Javan leopard’s preference for areas with high prey species diversity (2024)Global Ecology and Conservation, 56, 1-14. Article e03335. Ariyanto, A. C., Wang, T., Skidmore, A. K., Ario, A., Imron, M. & Wahyudi, H.https://doi.org/10.1016/j.gecco.2024.e03335Field estimation of fallen deadwood volume under different management approaches in two European protected forested areas (2024)International Journal of Forestry Research, 97(5), 762-770. Article cpae013. Rousseau, M., Adiningrat, D. P., Skidmore, A. K., Siegenthaler, A., Wang, T. & Abdullah, H.https://doi.org/10.1093/forestry/cpae013Mitigating terrain shadows in very high-resolution satellite imagery for accurate evergreen conifer detection using bi-temporal image fusion (2024)International Journal of Applied Earth Observation and Geoinformation (JAG), 134. Article 104244. Zhu, X., Wang, T., Skidmore, A. K., Lee, S. & Duporge, I.https://doi.org/10.1016/j.jag.2024.104244Island biogeography theory and the habitat heterogeneity jointly explain global patterns of Rhododendron diversity (2024)Plant Diversity, 46(5), 565-574. Guan, Y., Wu, Y., Cao, Z., Wu, Z., Yu, F., Yu, H. & Wang, T.https://doi.org/10.1016/j.pld.2024.03.007Mapping temperate old-growth forests in Central Europe using ALS and Sentinel-2A multispectral data (2024)Environmental monitoring and assessment, 196. Article 841. Adiningrat, D. P., Schlund, M., Skidmore, A. K., Abdullah, H., Wang, T. & Heurich, M.https://doi.org/10.1007/s10661-024-12993-5Range-wide camera traps reveal potential prey species for Javan leopards (2024)Global Ecology and Conservation, 53, 1-15. Article e03020. 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 (2024)Global Ecology and Conservation, 51. 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 (2024)International Journal of Applied Earth Observation and Geoinformation (JAG), 129, 1-11. Article 103868. 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 (2024)[Contribution to conference › Abstract] 13th EARSeL Workshop on Imaging Spectroscopy 2024. Torres Rodriguez, A., Darvishzadeh, R., Skidmore, A. K. & Wang, T.Mapping soil microbiological biodiversity using simulated CHIME hyperspectral data (2024)[Contribution to conference › Abstract] 13th EARSeL Workshop on Imaging Spectroscopy 2024. Skidmore, A. K., Abdullah, H., Siegenthaler, A., Adiningrat, D. P., Duan, Y., Rousseau, M., Torres Rodriguez, A., Darvishzadeh, R., Wang, T. & de Groot, A.A review of deep learning techniques for detecting animals in aerial and satellite images (2024)International Journal of Applied Earth Observation and Geoinformation (JAG), 128, 1-17. Article 103732. 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 (2024)[Contribution to conference › Abstract] EGU General Assembly 2024. 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 (2024)[Contribution to conference › Abstract] EGU General Assembly 2024. 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 (2024)[Contribution to conference › Abstract] EGU General Assembly 2024. 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 (2024)IEEE transactions on geoscience and remote sensing, 62, 1-15. Article 4404015. 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.2024.3361249Mapping off-road tracks and animal paths in protected areas using high-resolution GeoEye-1 panchromatic satellite imagery (2024)International journal of remote sensing, 45(16), 5425–5442. Chemura, A., Lu, S., Skidmore, A. K., Duporge, I., Lee, S., Yu, Z., Ngene, S. & Wang, T.https://doi.org/10.1080/01431161.2024.2377230

2023

Deep learning enables satellite-based monitoring of large populations of terrestrial mammals across heterogeneous landscape (2023)Nature communications, 14. 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 (2023)Journal of environmental management, 348, 1-11. Article 119244. 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 (2023)Remote sensing, 15(19), 1-16. Article 4797. 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 (2023)Remote sensing, 15(17), 1-24. Article 4128. Xu, Y., Wang, T., Skidmore, A. K. & Gara, T.https://doi.org/10.3390/rs15174128

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 1128
Hallenweg 8
7522 NH Enschede
Netherlands

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Organisations

Additional contact information

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

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