PhD position Program STARS (application deadline March 11 2021):
Remote sensing for vegetation change and health evaluation on multiple scales
PhD positions study program Geoinformatic, Cartography and Remote Sensing (application deadline April 30 2021):
Analysis of vegetation health using remote sensing methods with a possible focus on heterogeneous ecosystems (deciduous forests, mountain vegetation) or forest monocultures
Supervisor: doc. RNDr. Lucie Kupková, Ph.D. (lucie.kupkova@natur.cuni.cz)
Evaluation of the effect of drought on the physiological status of Scots pine and its partial phenotypes / genotypes using laboratory spectroscopy and hyperspectral image data for pine orchards form UAV
Supervisor: doc. RNDr. Lucie Kupková, Ph.D. (lucie.kupkova@natur.cuni.cz)
Analysis of the development of succession in the areas of the “new wilderness" using the fusion of remote sensing data (optical, LiDAR, thermal)
Supervisor: doc. RNDr. Lucie Kupková, Ph.D. (lucie.kupkova@natur.cuni.cz)
Machine learning methods for the improvement of the classification accuracy and health assessment evalution of agricultural crops from multispectral satellite data and UAV data
Supervisor: doc. RNDr. Lucie Kupková, Ph.D. (lucie.kupkova@natur.cuni.cz)
Offered topics for master theses
- Comparison of the classification accuracy of multispectral and hyperspectral data from UAV using various classifiers in the Krkonoše Mts. tundra (3 types of communities – meadow, wetland, shrub).
- Evaluation of the influence of the length and density of the time series remote sensing data (from UAV and satellite) on the accuracy of the classification of optical data from UAV and PlanetScope satellite data in the Krkonoše Mts. tundra.
- Evaluation of the amount and distribution of training and validation data on the accuracy of classification (on the example of vegetation in the Krkonoše Mts. tundra)
- Use of selected machine learning methods (decision trees, SVM) for the classification of heterogeneous vegetation communities (case study: tundra of the Krkonoše Mts.)