Projects per year
Personal profile
Personal profile
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 21 Ph.D. students and 35 Master’s students, and he currently supervises 4 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.
Education/Academic qualification
PhD, Observing giant panda habitat and forage abundance from space, Wageningen University & Research
25 Oct 2004 → 25 Jun 2009
Award Date: 25 Jun 2009
Master, International Institute for Geo-Information Science and Earth Observation - ITC
1 Sept 2001 → 1 Mar 2003
Award Date: 1 Mar 2003
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 4 Quality Education
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SDG 14 Life Below Water
Collaborations and top research areas from the last five years
Projects
- 1 Finished
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BIOSPACE: Monitoring Biodiversity from Space
Skidmore, A. (PI), Cheng, Y. (CoI), Diakaki, M. (CoI), Duan, Y. (CoI), Lock, M. C. (CoI), Rousseau, M. (CoI), Torres Rodriguez, A. (CoI), Adiningrat, D. P. (CoI), Siegenthaler, A. (CoI), Sutcliffe, B. (CoI), Zhu, X. (CoI), Figueroa Sanchez, L. A. (CoI), Abdullah, H. J. (CoI), Darvish (Darvishzadeh), R. (CoI), Neinavaz, E. (CoI), Nyktas, P. (CoI), Schlund, M. (CoI), Huesca Martinez, M. (CoI), Wang, T. (CoI), de Groot, A. (CoI), Laros, I. (CoI) & Chariton, A. (CoI)
1/09/19 → 1/09/24
Project: Research
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Reforestation mitigates negative impacts of infrastructure by improving habitat connectivity for the Javan leopard
Ariyanto, A. C., Wang, T., Skidmore, A. K., Rahman, D. A., Ario, A. & Imron, M. A., Apr 2026, In: Ecological indicators. 185, 114800.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile4 Downloads (Pure) -
Unraveling ecosystem function responses to grazing intensity through UAV-based hyperspectral analysis
Zhang, Y.-W., Guo, Y., Zhang, H.-T., Wang, S., Liang, C., Wang, T. & Tang, Z., 3 Feb 2026, In: Journal of Remote Sensing. 6, 14 p., 0732.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile1 Link opens in a new tab Citation (Scopus)10 Downloads (Pure) -
A deep learning framework for mapping evergreen conifer fractional cover at 30 m resolution using fused bi-temporal WorldView and time-series Landsat imagery in mixed mountain forests
Zhu, X., Wang, T., Skidmore, A. K. & Duporge, I., 15 Dec 2025, In: Remote sensing of environment. 331, p. 1-14 14 p., 115055.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile2 Link opens in a new tab Citations (Scopus)11 Downloads (Pure) -
AI-based satellite survey offers independent assessment of migratory wildebeest numbers in the Serengeti
Duporge, I., Wu, Z., Xu, Z., Gong, P., Rubenstein, D., Macdonald, D. W., Sinclair, A., Levin, S., Lee, S. & Wang, T., 9 Sept 2025, In: PNAS Nexus. 4, 9, p. 1-5 5 p., pgaf264.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile6 Link opens in a new tab Citations (Scopus)40 Downloads (Pure) -
Bounding box versus point annotation: The impact on deep learning performance for animal detection in aerial images
Xu, Z., Wang, T., Skidmore, A. K., Lamprey, R. H. & Ngene, S., Apr 2025, In: ISPRS journal of photogrammetry and remote sensing. 222, p. 99-111 13 p.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile5 Link opens in a new tab Citations (Scopus)76 Downloads (Pure)
Datasets
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Development and Validation of a Dense 18-Year Time Series of Surface Water Fraction Estimates from MODIS for the Mediterranean Region
Li, L. (Creator), Skidmore, A. (Contributor), Vrieling, A. (Contributor) & Wang, T. (Contributor), DATA Archiving and Networked Services (DANS), 3 Jan 2019
DOI: 10.17026/dans-xrz-y92s, https://www.persistent-identifier.nl/urn:nbn:nl:ui:13-sf-8988
Dataset
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Evaluation of a new 18-year MODIS-derived surface water fraction dataset for constructing Mediterranean wetland surface water dynamics
Li, L. (Creator), Vrieling, A. (Creator), Skidmore, A. (Creator) & Wang, T. (Creator), DATA Archiving and Networked Services (DANS), 9 Jan 2020
DOI: 10.17026/dans-x7c-atbt, https://www.persistent-identifier.nl/urn:nbn:nl:ui:13-t3-zueb
Dataset
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LiDAR reveals a preference for intermediate visibility by a forest-dwelling ungulate species: Code and LiDAR data
Zong, X. (Creator), Wang, T. (Creator), Skidmore, A. (Creator) & Heurich, M. (Creator), Zenodo, 17 Nov 2022
DOI: 10.5061/dryad.tx95x6b21, https://zenodo.org/record/7332476
Dataset
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LiDAR reveals a preference for intermediate visibility by a forest-dwelling ungulate species: Deer locational data
Zong, X. (Creator), Wang, T. (Creator), Skidmore, A. (Creator) & Heurich, M. (Creator), Zenodo, 17 Nov 2022
DOI: 10.5061/dryad.15dv41p1d, https://zenodo.org/record/7332478
Dataset
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Data from: Past distribution of epiphyllous liverworts in China: the usability of historical data
Jiang, Y. (Creator), Wang, T. (Creator), Wu, Y. (Creator), Hu, R. (Creator), Huang, K. (Creator) & Shao, X. (Creator), Zenodo, 30 May 2019
DOI: 10.5061/dryad.2jr1648, https://zenodo.org/records/4977498
Dataset
Prizes
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ITC Research Award for the Best Scientific Paper
Zhu, X. (Recipient), Wang, T. (Contributor), Darvish (Darvishzadeh), R. (Contributor), Skidmore, A. K. (Contributor) & Niemann, K. O. (Contributor), 2016
Prize
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ITC Research Award for the Best Scientific Paper
Shi, Y. (Recipient), Wang, T. (Contributor) & Skidmore, A. (Contributor), 2019
Prize
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Outstanding reviewer for ISPRS Journal of Photogrammetry and Remote Sensing
Wang, T. (Recipient), Nov 2017
Prize: Honorary award
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Recognized reviewer for ISPRS Journal of Photogrammetry and Remote Sensing
Wang, T. (Recipient), Aug 2017
Prize: Honorary award
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Second place recipients of ASPRS John I. Davidson President’s Award for practical papers
Khosravipour, A. (Recipient), Wang, T. (Recipient) & Skidmore, A. K. (Recipient), 2015
Prize
Activities
- 1 Oral presentation
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From Pixels to Microbes: Harnessing Image spectroscopy DESIS data and eDNA for Forest Microbiome Mapping
Skidmore, A. (Contributor), Abdullah, H. J. (Speaker), Siegenthaler, A. (Contributor), Adiningrat, D. P. (Contributor), Duan, Y. (Contributor), Rousseau, M. S. D. (Contributor), Torres Rodriguez, A. (Contributor), Darvish (Darvishzadeh), R. (Contributor), Wang, T. (Contributor) & de Groot, A. (Contributor)
2 Nov 2023Activity: Talk or presentation › Oral presentation
Press/Media
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Pandas aren’t all black and white. Some come in a different shade, and scientists now understand why
22/03/24
1 Media contribution
Press/Media: Expert Comment
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Using AI to push the boundaries of wildlife survey technologies
2/06/23
1 item of Media coverage
Press/Media: Research
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ITC and Bavarian Forest National Park renew data pool agreement
Skidmore, A. K., Darvish (Darvishzadeh), R. & Wang, T.
25/05/21
1 Media contribution
Press/Media: Public Engagement Activities
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Fighting the nature crisis from space
Skidmore, A. K., Neinavaz, E., Darvish (Darvishzadeh), R. & Wang, T.
13/05/21
1 Media contribution
Press/Media: Research
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