dr. P. Nyktas (Panagiotis)

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

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), 1-20. [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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