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Personal profile

Personal profile

Dr. Tiejun Wang is an associate professor in the Faculty of Geo-information Science and Earth Observation at the University of Twente. He holds a PhD in Spatial Ecology and Conservation from Wageningen University and an MSc degree from the International Institute for Geo-information Science and Earth Observation (ITC). His career includes 12 years working in the area of nature conservation with Foping Biosphere Reserve and World Wildlife Fund (WWF) before moving to university work. He teaches postgraduate coursework in Natural Resources Management and Statistics. His research interests lie in the field of applied remote sensing for wetland and wildlife ecology. He serves as an Associate Editor for the journal WETLANDS. He has been co-promotor of 12 PhD theses. He is currently co-supervising 6 ongoing PhD students. He also supervises PhD student in collaboration with the University of Oxford.

Education/Academic qualification

PhD, Wageningen University & Research

25 Oct 200425 Jun 2009

Master, International Institute for Geo-Information Science and Earth Observation - ITC

1 Sep 20011 Mar 2003

Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

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Research Output 2000 2019

A Novel Approach for the Detection of Standing Tree Stems from Plot-Level terrestrial Laser Scanning Data

Zhang, W., Wan, P., Wang, T., Cai, S., Chen, Y., Jin, X. & Yan, G., 22 Jan 2019, In : Remote sensing. 11, 2, p. 1-19 19 p., 211.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
cloud classification

Climate and land use changes will degrade the distribution of Rhododendrons in China

Yu, F., Wang, T., Groen, T. A., Skidmore, A. K., Yang, X., Ma, K. & Wu, Z., 1 Apr 2019, In : Science of the total environment. 659, p. 515-528 14 p.

Research output: Contribution to journalArticleAcademicpeer-review

Land use
land use change

Identifying rice stress on a regional scale from multi-temporal satellite images using a Bayesian method

Liu, M., Wang, T., Skidmore, A. K., Liu, X. & Li, M., 28 Jan 2019, In : Environmental Pollution. 247, April, p. 488-498 11 p.

Research output: Contribution to journalArticleAcademicpeer-review

Bayes Theorem
Heavy Metals
Heavy metals

Variation of leaf angle distribution quantified by terrestrial LiDAR in natural European beech forest

Liu, J., Skidmore, A. K., Wang, T., Zhu, X., Premier, J., Heurich, M., Beudert, B. & Jones, S., 1 Feb 2019, In : ISPRS journal of photogrammetry and remote sensing. 148, February, p. 208-220 13 p.

Research output: Contribution to journalArticleAcademicpeer-review



ITC Research Award for the Best Scientific Paper

Xi Zhu (Recipient), T.J. Wang (Recipient), Roshanak Darvish (Recipient), Andrew Skidmore (Recipient) & K.O. Niemann (Recipient), 2016


honors and awards
remote sensing
remote sensing

Press / Media

How to reduce elephant poaching

F. Ihwagi, T.J. Wang & Andrew Skidmore


1 media contribution

Press/Media: Research

How many wildebeest? Ask a satellite

T.J. Wang & Zheng Yang


1 item of media coverage

Press/Media: Expert Comment

Inteelt reuzenpanda's niet per se catastrofaal

T.J. Wang & Andrew Skidmore


1 media contribution

Press/Media: Research