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Personal profile

Personal profile

Being an Assistant Professor in the Department of Natural Resources, I am focusing my research on monitoring the interactions between vegetation, climate change and land use change using remote sensing. My main interests lie in ecosystems modelling and monitoring using remote sensing. Applying Remote Sensing to monitor ecosystem processes is a mayor challenge, as most Remote Sensing platforms have limitations with respect to their spatial resolution, the time period they cover, their revisiting time, or the spectral domain that they cover. The ecosystem process that is investigated (or modelled) and the scale of at which this process is occurring (both spatial and temporal) determine the suitability of the various Remote Sensing products that exist today for monitoring. The ever growing possibilities of new sensors (higher spatial resolutions, more frequent recordings, new spectral domains that are explored) as well as the increasing demand from society to derive relevant conclusions about the changes that happen in natural systems create both interesting opportunities as well as daunting challenges. With my research, I contribute to this increasing potential of Remote Sensing. I aim to improve our understanding of the dynamics in the natural world, by improving our tools to monitor these dynamics. Especially the dynamics of vegetation under changing conditions and the occurrence of sudden shifts in ecosystems are topics that are becoming increasingly important in a world where human pressure is increasing in many ecosystems.

Teaching

Part of the NRM Curriculum and the iGEON distance based course.

Teaching topics related to:

  • Spatial Modelling
  • Species Distribution Models
  • Statistics
  • Modelling in R
  • Quantitative Ecology
  • Thermal spectroscopy
  • Field Work Preparation
  • Research Skills

Personal profile

Topics covered by current and past research include:

  • Species distribution modelling techniques, error propagation and applications for conservation
  • Hyperspectral thermal remote sensing of plant stress
  • remote sensing and spatial modelling to assess dynamics in ecosystems
  • Interactions between savanna vegetation patterns and fire
  • Early-warning for tipping points in ecosystems
  • Novel methodologies to determine carbon budgets of forests
  • Novel methodologies to create long time series from various geographical information sources,

Personal profile

Activities in capacity development

I have undertaken fieldwork in Australia, Bulgaria, India and South Africa and performed consulting and training service work in Burkina Faso, Costa Rica, Ghana, Greece, Indonesia, Kenya, Namibia, Russia (Sacha Republic), Rwanda, Uganda, and Vietnam.

Fingerprint Dive into the research topics where Thomas Groen is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 1 Similar Profiles
savanna Earth & Environmental Sciences
vegetation Earth & Environmental Sciences
modeling Earth & Environmental Sciences
autocorrelation Earth & Environmental Sciences
Rhododendron Agriculture & Biology
water content Agriculture & Biology
tropical grasslands Agriculture & Biology
grassland Earth & Environmental Sciences

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

Research Output 2003 2019

Abundance and spatial distribution of the main food species for mountain gorillas in the Virunga Massif, Rwanda

Akayezu, P., van Duren, I. C., Groen, T. A., Grueter, C. C. & Robbins, M. M., 1 Nov 2019, In : Biodiversity and conservation. 28, 13, p. 3597-3620 24 p.

Research output: Contribution to journalArticleAcademicpeer-review

Rwanda
Gorilla
mountains
spatial distribution
mountain
1 Citation (Scopus)

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
climate
distribution
Biodiversity

ELSA: A new entropy-based statistic to measure local and global spatial structure : abstract

Naimi, B., Hamm, N. A. S., Groen, T. A., Skidmore, A. K., Toxopeus, A. G. & Alibakhshi, S., Jul 2019, p. 1-1. 1 p.

Research output: Contribution to conferenceAbstractOther research output

Open Access
File
1 Citation (Scopus)
3 Downloads (Pure)

ELSA: Entropy-based local indicator of spatial association

Naimi, B., Hamm, N. A. S., Groen, T. A., Skidmore, A. K., Toxopeus, A. G. & Alibakhshi, S., Mar 2019, In : Spatial statistics. 29, p. 66-88 23 p.

Research output: Contribution to journalArticleAcademicpeer-review

entropy
Entropy
spatial data
Spatial Data
Statistics

Spatially-explicit modelling with support of hyperspectral data can improve prediction of plant traits

Rocha, A. D., Groen, T. A. & Skidmore, A. K., 15 Sep 2019, In : Remote sensing of environment. 231, 13 p., 111200.

Research output: Contribution to journalArticleAcademicpeer-review

prediction
autocorrelation
Autocorrelation
modeling
wavelengths