About Me
For more information about Andrew Skidmore see the UT's Featured Scientists page:
Expertise
Earth & Environmental Sciences
# Canopy
# Chlorophyll
# Leaf Area Index
# Remote Sensing
Engineering & Materials Science
# Biodiversity
# Chlorophyll
# Remote Sensing
Agriculture & Biology
# Remote Sensing
Faculty of Geo-Information Science and Earth Observation (ITC), Department of Natural Resources (NRS)Publications
Recent
Yu, H.
, Wang, T.
, Skidmore, A. K., Heurich, M., & Bässler, C. (2022).
50 Years of cumulative open-source data confirm stable and robust biodiversity distribution patterns for macrofungi.
Journal of Fungi,
8(9), 1-16. [981].
https://doi.org/10.3390/jof8090981
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
Rocchini, D., Santos, M. J., Ustin, S. L., Féret, J., Asner, G. P., Beierkuhnlein, C., Dalponte, M., Feilhauer, H., Foody, G. M., Geller, G. N., Gillespie, T. W., He, K. S., Kleijn, D., Leitão, P. J., Malavasi, M., Moudrý, V., Müllerová, J., Nagendra, H., Normand, S., ... Lenoir, J. (2022).
The spectral species concept in living color.
Journal of geophysical research : Biogeosciences,
127(9).
https://doi.org/10.1029/2022JG007026
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
Zhang, Y-W.
, Wang, T., Guo, Y.
, Skidmore, A. K., Zhang, Z., Tang, R., Song, S., & Tang, Z. (2022).
Estimating community-level plant functional traits in a species-rich alpine meadow using UAV image spectroscopy.
Remote sensing,
14(14), 1-14. [3399].
https://doi.org/10.3390/rs14143399
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.
Lausch, A., Schaepman, M. E.
, Skidmore, A. K., Catana, E., Bannehr, L., Bastian, O., Borg, E., Bumberger, J., Dietrich, P., Glässer, C., Hacker, J. M., Höfer, R., Jagdhuber, T., Jany, S., Jung, A., Karnieli, A., Klenke, R., Kirsten, T., Ködel, U., ... Baatz, R. (2022).
Remote sensing of geomorphodiversity linked to biodiversity—Part III: Traits, processes and remote sensing characteristics.
Remote sensing,
14(9), 1-48. [2279].
https://doi.org/10.3390/rs14092279
Darvishzadeh, R.
, Neinavaz, E.
, Huesca Martinez, M.
, Skidmore, A. K.
, Nieuwenhuis, W., Fernández, N., & Wårlind, D. (2022).
On the relationship of primary productivity and remotely sensed canopy biophysical variables. Abstract from EGU General Assembly 2022, Vienna, Austria.
https://doi.org/10.5194/egusphere-egu22-10409
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
Faculty of Geo-Information Science and Earth Observation
ITC
(building no. 75), room 4-149
Hengelosestraat 99
7514AE Enschede
The Netherlands
Mailing Address
University of Twente
Faculty of Geo-Information Science and Earth Observation
ITC
4-149
P.O. Box 217
7500 AE Enschede
The Netherlands