- Hyperspectral data for classification of selected vegetation species above tree-line in the Krkonoše mts. National Park2014 | Faculty of Science
- Mapping vegetation communities of the Karkonosze National Park using APEX hyperspectral data and Support Vector Machines2014 | Faculty of Science
- Temporal changes in Norway spruce physiological status using hyperspectral data: A case study of mountainous forests affected by long-term acidic depositions2014 | Faculty of Science
- Experience with processing of hyperspectral data acquired by UAV2020 | Faculty of Science
- Determination of lignin content in Norway spruce foliage using NIR spectroscopy and hyperspectral data2012 | Faculty of Science
- Chlorophyll determination in silver Birch and Scots Pine foliage from hyperspectral data2011 | Faculty of Science
- The role of the vegetation structure, primary productivity and senescence derived from airborne LiDAR and hyperspectral data for birds diversity and rarity on a restored site2021 | Faculty of Science
- Laboratory and image spectroscopy for evaluating the biophysical state of meadow vegetation in the Krkonoše National Park2014 | Faculty of Science
- Predicting the toxicity of post-mining substrates, a case study based on laboratory tests, substrate chemistry, geographic information systems and remote sensing2017 | Faculty of Science, Central Library of Charles University
- Classification of Tundra Vegetation in the Krkonose Mts. National Park Using APEX, AISA Dual and Sentinel-2A Data2017 | Faculty of Science
- Towards reliable monitoring of grass species in nature conservation: Evaluation of the potential of UAV and PlanetScope multi-temporal data in the Central European tundra2023 | Faculty of Science
- Biochemical, histochemical, structural and reflectance markers of damage in Norway spruce from the Krušné hory Mts. used for interpretation of remote sensing data2001 | Faculty of Science
- Applying Spectral Unmixing to Determine Surface Water Parameters in a Mining Environment2014 | Faculty of Science
- Detection of initial damage in Norway spruce canopies using hyperspectral airborne data2004 | Faculty of Science
- The Use of Remote Sensing for Analyzing Geology, Topography and Environmental Changes in Mountains2014 | Faculty of Science
- Integration of hyperspectral and LiDAR data for mapping small water bodies2020 | Faculty of Science
- Laboratory and image spectroscopy and their us for vegetation analysis2017 | Faculty of Science
- Using multi-date high spectral resolution data to assess the physiological status of macroscopically undamaged foliage on a regional scale2014 | Faculty of Science, Central Library of Charles University
- Detection of spatio-temporal changes of Norway spruce forest stands in Ore Mountains using airborne hyperspectral imagery2015 | Faculty of Science, Central Library of Charles University
- Detection of multiple stresses in Scots pine growing at post-mining sites using visible to near-infrared spectroscopy2013 | Faculty of Science, Central Library of Charles University
- Can canopy temperature acquired from an airborne level be a tree health indicator in an urban environment?2023 | Faculty of Science