If you made any changes in Pure these will be visible here soon.

Personal profile

Personal profile

Dr. Tiejun Wang is an Associate Professor of Applied Spatial Ecology, in Remote Sensing and Geo-information Science at the University of Twente. He holds a PhD in Spatial Ecology and Conservation from Wageningen University and a MSc in GIS & Remote Sensing from the International Institute for Geo-information Science and Earth Observation (ITC). His career includes 12 years working in the area of nature conservation before moving to university work in 2009. He teaches postgraduate coursework in Remote Sensing, GIS, and Statistics. His research interests lie in the field of applied remote sensing for wildlife ecology and conservation. He has supervised 14 PhD students to completion and is currently supervising 5 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 Dive into the research topics where Tiejun Wang is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 9 Similar Profiles
canopy Earth & Environmental Sciences
leaf area index Earth & Environmental Sciences
elephant Earth & Environmental Sciences
Satellites Engineering & Materials Science
poaching Earth & Environmental Sciences
time series Earth & Environmental Sciences
radiative transfer Earth & Environmental Sciences
bamboo Earth & Environmental Sciences

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2000 2020

Accurate modelling of canopy traits from seasonal Sentinel-2 imagery based on the vertical distribution of leaf traits

Gara, T. W., Darvishzadeh, R., Skidmore, A. K., Wang, T. & Heurich, M., 12 Sep 2019, In : ISPRS journal of photogrammetry and remote sensing. 157, p. 108-123 16 p.

Research output: Contribution to journalArticleAcademicpeer-review

vertical distribution
canopies
imagery
leaves
canopy
54 Downloads (Pure)

Analysis of Sentinel-2 and RapidEye for Retrieval of Leaf Area Index in a Saltmarsh Using a Radiative Transfer Model

Darvishzadeh, R., Wang, T., Skidmore, A. K., Vrieling, A., O'Connor, B., Gara, T. W., Ens, B. J. & Marc, P., 20 Mar 2019, In : Remote sensing. 11, 6, p. 1-22 22 p., 671.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
saltmarsh
leaf area index
radiative transfer
ecosystem
sensor
1 Downloads (Pure)

An approach for heavy metal pollution detected from spatio-temporal stability of stress in rice using satellite images

Liu, M., Skidmore, A. K., Wang, T., Liu, X., Wu, L. & Tian, L., Aug 2019, In : International Journal of Applied Earth Observation and Geoinformation. 80, p. 230-239 10 p.

Research output: Contribution to journalArticleAcademicpeer-review

Heavy metals
Pollution
rice
Satellites
heavy metal
1 Downloads (Pure)

An assessment of human impacts on endangered red pandas living in the Himalaya

Panthi, S., Wang, T., Sun, Y. & Thapa, A., 7 Nov 2019, In : Ecology and evolution. p. 1-13 13 p.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
File
anthropogenic effect
anthropogenic activities
Nepal
habitat
habitats
6 Downloads (Pure)
Open Access
File
MODIS
time series
surface water
Landsat
satellite altimetry

Prizes

ITC Research Award for the Best Scientific Paper

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

Prize

supervisors
honors and awards
File
photogrammetry
remote sensing
File
photogrammetry
remote sensing
Supervisors
Recipient

Press / Media

How to reduce elephant poaching

F. Ihwagi, Tiejun Wang & Andrew Skidmore

3/11/15

1 media contribution

Press/Media: Research

How many wildebeest? Ask a satellite

Tiejun Wang & Zheng Yang

8/01/15

1 item of media coverage

Press/Media: Expert Comment

Inteelt reuzenpanda's niet per se catastrofaal

Tiejun Wang & Andrew Skidmore

27/01/10

1 media contribution

Press/Media: Research