For students

PhD position – application by April 30, 2025:

Monitoring Evapotranspiration and Greenhouse Gas Dynamics in Mountain Peatlands Using UAV-Based Thermal and Optical Remote Sensing

Supervisor: doc. RNDr. Lucie Kupková, Ph.D. (lucie.kupkova@natur.cuni.cz)

Offered topics for bachelor theses

  • Use of remote sensing for the assessment of invasive species in the Krkonoše Mountains (supervisor: doc. RNDr. Lucie Kupková, Ph.D., kupkova@natur.cuni.cz)
  • Use of open source GIS and remote sensing data for the assessment of the development of vegetation cover in the Krkonoše tundra (supervisor: doc. RNDr. Lucie Kupková, Ph.D., kupkova@natur.cuni.cz)
  • Opportunities to use a small drone with an optical camera to visualize landscapes and their historical structures (supervisor: doc. RNDr. Lucie Kupková, Ph.D., kupkova@natur.cuni.cz)
  • Creation of digital terrain models from archival aerial images and their use in tree height determination (supervisor: Ing. Markéta Potůčková, Ph.D., potuckova@natur.cuni.cz)
  • Analysis of point clouds from Dlouhý důl (Czech Switzerland) before and after the wildfire in the National Park (supervisor: Ing. Markéta Potůčková, Ph.D., potuckova@natur.cuni.cz)
  • Classification of green and dry biomass fractions from in-situ photographs of grasslands (supervisor: Ing. Markéta Potůčková, Ph.D., potuckova@natur.cuni.cz)
  • Applications of radar polarimetry (e.g. in urban environments, forest stands, agriculture) (supervisor: Ing. Markéta Potůčková, Ph.D., potuckova@natur.cuni.cz)
  • Remote sensing of solar system objects (supervisor: Mgr. Lucie Červená, Ph.D., cervena@natur.cuni.cz)
  • Changes in landscape cover based on PlanetScope or orthophoto data for the Czech Environmental Inspectorate sites of interest (supervisor: Mgr. Lucie Červená, Ph.D., cervena@natur.cuni.cz)
  • EnMAP data classification – Krkonoše Mountains (supervisor: Mgr. Lucie Červená, Ph.D., cervena@natur.cuni.cz)

Offered topics for master theses

  • Creating a methodology for monitoring the vegetation of the Krkonoše tundra to monitor the impact of global climate change (supervisor: doc. RNDr. Lucie Kupková, Ph.D., kupkova@natur.cuni.cz)
  • Assessing the impact of drought on Pinus sylvestris using UAV and laboratory spectroscopy (supervisor: doc. RNDr. Lucie Kupková, Ph.D., kupkova@natur.cuni.cz)
  • Modelling the state and function of heterogeneous forest ecosystems using UAV and laboratory spectroscopy (supervisor: doc. RNDr. Lucie Kupková, Ph.D., kupkova@natur.cuni.cz)
  • Classification of agricultural crops and evaluation of crop condition from remote sensing data (supervisor: doc. RNDr. Lucie Kupková, Ph.D., kupkova@natur.cuni.cz)
  • Methods of classification accuracy assessment (classical vs. alternative) and analysis of the influence of the number and distribution of training and validation plots on classification accuracy (on the example of vegetation in the Krkonoše tundra) (supervisor: doc. RNDr. Lucie Kupková, Ph.D., kupkova@natur.cuni.cz)
  • Monitoring of landscape and/or environmental changes using freely available remote sensing data or UAV data (supervisor: doc. RNDr. Lucie Kupková, Ph.D., kupkova@natur.cuni.cz)
  • Monitoring land use/land cover in Europe using freely available remote sensing data (supervisor: doc. RNDr. Lucie Kupková, Ph.D., kupkova@natur.cuni.cz)
  • Soil moisture determination using Sentinel-1 satellite data and its combination with Sentinel-2 data (supervisor: Ing. Markéta Potůčková, Ph.D., potuckova@natur.cuni.cz)
  • Mapping of non-forest vegetation from archival aerial photographs using machine learning methods in the area of interest in Krkonoše National park (supervisor: Ing. Markéta Potůčková, Ph.D., potuckova@natur.cuni.cz)
  • Determination of forest cover cover at the upper forest boundary from archival aerial photographs using machine learning methods (supervisor: Ing. Markéta Potůčková, Ph.D., potuckova@natur.cuni.cz)
  • Determination of forest canopy overlap at the upper forest boundary from archival aerial photographs using machine learning methods (supervisor: Ing. Markéta Potůčková, Ph.D., potuckova@natur.cuni.cz)
  • Point cloud classification using machine learning methods (rock formations, forest stands) (supervisor: Ing. Markéta Potůčková, Ph.D., potuckova@natur.cuni.cz)
  • Monitoring forest cover changes using GEDI and airborne laser scanning data (supervisor: Ing. Markéta Potůčková, Ph.D., potuckova@natur.cuni.cz)
  • Mapping using SAR (forests, agricultural crops, urban areas) (supervisor: Ing. Markéta Potůčková, Ph.D., potuckova@natur.cuni.cz)