Expertise
Earth & Environmental Sciences
# Canopy
# Chlorophyll
# Leaf Area Index
# Remote Sensing
# Vegetation Index
Engineering & Materials Science
# Biodiversity
# Chlorophyll
# Remote Sensing
Organisations
Publications
Recent
Wang, F., Ma, Y.
, Darvishzadeh, R., & Han, C. (2023).
Annual and seasonal trends of vegetation responses and feedback to temperature on the Tibetan Plateau since the 1980s.
Remote sensing, 1-21.
https://doi.org/10.3390/rs15092475
Neinavaz, E.
, Darvishzadeh, R.
, Skidmore, A. K.
, & Nieuwenhuis, W. (2022).
Remote Sensing-Enabled EBVs Portal for Understanding Terrestrial Ecosystem Dynamics. Abstract from EuroGEO workshop 2022, Athens, Greece.
Andalibi, L., Ghorbani, A.
, Darvishzadeh, R., Moameri, M., Hazbavi, Z., & Jafari, R. (2022).
Multisensor assessment of leaf area index across ecoregions of Ardabil Province, northwestern Iran.
Remote sensing,
14(22), [5731].
https://doi.org/10.3390/rs14225731
Gao, L.
, Darvishzadeh, R., Somers, B., Johnson, B. A., Wang, Y., Verrelst, J., & Atzberger, C. (2022).
Hyperspectral response of agronomic variables to background optical variability: Results of a numerical experiment.
Agricultural and forest meteorology,
326, [109178].
https://doi.org/10.1016/j.agrformet.2022.109178
Korir, H. K.
, Neinavaz, E.
, Skidmore, A. K.
, & Darvishzadeh, R. (2022).
Thermal infrared airborne hyperspectral data for vegetation land cover classification in a mixed temperate forest. 116-116. Abstract from 12th EARSeL Workshop on Imaging Spectroscopy 2022, Potsdam, Germany.
http://is.earsel.org/workshop/12-IS-Potsdam2022/wp-content/uploads/2022/06/programm-booklet_long_complete_v2.pdf
Neinavaz, E.
, Darvishzadeh, R.
, & Skidmore, A. K. (2022).
Prediction of leaf area index using hyperspectral thermal infrared imagery over the mixed temperate forest. Abstract from 12th EARSeL Workshop on Imaging Spectroscopy 2022, Potsdam, Germany.
Skidmore, A. K.
, Siegenthaler, A.
, Wang, T.
, Darvishzadeh, R., Zhu, X., Chariton, A., & Arjen De Groot, G. (2022).
Mapping the relative abundance of soil microbiome biodiversity from eDNA and remote sensing.
Science of Remote Sensing,
6, [100065].
https://doi.org/10.1016/j.srs.2022.100065
Berger, K., Machwitz, M., Kycko, M., Kefauver, S. C., Van Wittenberghe, S., Gerhards, M., Verrelst, J., Atzberger, C.
, van der Tol, C., Damm, A., Rascher, U., Herrmann, I., Sobejano Paz, V., Fahrner, S., Pieruschka, R.
, Prikaziuk, E., Buchaillot, M. L., Halabuk, A., Celesti, M., ... Schlerf, M. (2022).
Multi-sensor spectral synergies for crop stress detection and monitoring in the optical domain: A review.
Remote sensing of environment,
280, [113198].
https://doi.org/10.1016/j.rse.2022.113198
Farsad Layegh, N.
, Darvishzadeh, R.
, Skidmore, A. K.
, Persello, C., & Kruger, N. (2022).
Integrating semi-supervised learning with an expert system for vegetation cover classification using Sentinel-2 and RapidEye data.
Remote sensing,
14(15), 1-18. [3605].
https://doi.org/10.3390/rs14153605
Xie, R.
, Darvishzadeh, R.
, Skidmore, A. K., Heurich, M., Holzwarth, S., Gara, T., & Reusen, I. (2022).
Gaussian Processes Regression and PLSR for mapping forest canopy traits from Fenix Airborne Hyperspectral Data. Abstract from 12th EARSeL Workshop on Imaging Spectroscopy 2022, Potsdam, Germany.
UT Research Information System
Courses Academic Year 2022/2023
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 2021/2022
Contact Details
Visiting Address
University of Twente
Drienerlolaan 5
7522 NB Enschede
The Netherlands
Mailing Address
University of Twente
P.O. Box 217
7500 AE Enschede
The Netherlands