dr. P. Nyktas (Panagiotis)

Faculty of Geo-Information Science and Earth Observation (ITC), Department of Natural Resources (NRS)

Stobbelaar, P. , Neinavaz, E. , & Nyktas, P. (2022). Prediction of leaf area index using thermal infrared data acquired by UAS over a mixed temperate forest. International Journal of Applied Earth Observation and Geoinformation (JAG), 114, [103049]. https://doi.org/10.1016/j.jag.2022.103049

Gidey Kahsay , A. , Neinavaz, E. , & Nyktas, P. (2022). Investigating the potential of thermal infrared UAS imagery for detecting the health status of pine trees. Abstract from 12th EARSeL Workshop on Imaging Spectroscopy 2022, Potsdam, Germany.

Albarelli, D. S. N. A. , Mavrouli, O. C. , & Nyktas, P. (2021). Identification of potential rockfall sources using UAV-derived point cloud. Bulletin of engineering geology and the environment, 80(8), 6539-6561. https://doi.org/10.1007/s10064-021-02306-2

Niederheiser, R., Winkler, M., Di Cecco, V., Erschbamer, B., Fernández, R., Geitner, C., Hofbauer, H., Kalaitzidis, C., Klingraber, B., Lamprecht, A., Lorite, J., Nicklas, L. , Nyktas, P., Pauli, H., Stanisci, A., Steinbauer, K., Theurillat, J., Vittoz, P., & Rutzinger, M. (2021). Using automated vegetation cover estimation from close-range photogrammetric point clouds to compare vegetation location properties in mountain terrain. GIScience & remote sensing, 58(1), 120-137. https://doi.org/10.1080/15481603.2020.1859264

Kazakis, G., Ghosn, D., Remoundou, I. , Nyktas, P., Talias, M., & Vogiatzakis, I. (2021). Altitudinal Vascular Plant Richness and Climate Change in the Alpine Zone of the Lefka Ori, Crete. Diversity, 13(1), 1-16. [22]. https://doi.org/10.3390/d13010022

Effiom, A. E. , Van Leeuwen, L. M. , Nyktas, P., Okojie, J. A., & Erdbrügger, J. (2019). Combining unmanned aerial vehicle and multispectral Pleiades data for tree species identification, a prerequisite for accurate carbon estimation. Journal of applied remote sensing, 13(3), [034530]. https://doi.org/10.1117/1.JRS.13.034530

Ye, N. , Van Leeuwen, L. M. , & Nyktas, P. (2019). Analysing the potential of UAV point cloud as input in quantitative structure modelling for assessment of woody biomass of single trees. International Journal of Applied Earth Observation and Geoinformation, 81, 47-57. https://doi.org/10.1016/j.jag.2019.05.010

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Master

Geo-Information Science and Earth Observation

Vakken in het huidig collegejaar worden toegevoegd op het moment dat zij definitief zijn in het Osiris systeem. Daarom kan het zijn dat de lijst nog niet compleet is voor het gehele collegejaar.