- Integration of hyperspectral and LiDAR data for mapping small water bodies2020 | Faculty of Science
- 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
- 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
- Compact hyperspectral imager for low light applications2001 | Faculty of Mathematics and Physics
- 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
- Detection of spatio-temporal changes of Norway spruce forest stands in Ore Mountains using Landsat time series and airborne hyperspectral imagery2016 | Faculty of Science, Central Library of Charles University
- Experience with processing of hyperspectral data acquired by UAV2020 | Faculty of Science
- Revealing the Complex Relationship Among Hyperspectral Reflectance, Photosynthetic Pigments, and Growth in Norway Spruce Ecotypes2022 | Faculty of Science
- Detection of initial damage in Norway spruce canopies using hyperspectral airborne data2004 | Faculty of Science
- Making the Genotypic Variation Visible: Hyperspectral Phenotyping in Scots Pine Seedlings2023 | Faculty of Science
- A new hyperspectral index for chlorophyll estimation of a forest canopy: Area under curve normalised to maximal band depth between 650-725 nm.2006 | Faculty of Science
- Hyperspectral Imaging and Spectroscopy of Fluorescently Coupled Acyl-CoA:cholesterol Acyltransferase in Insect Cells2001 | Faculty of Mathematics and Physics
- Determination of lignin content in Norway spruce foliage using NIR spectroscopy and hyperspectral data2012 | Faculty of Science
- Utilization of hyperspectral image optical indices to assess the Norway spruce forest health status2012 | Faculty of Science
- Chlorophyll determination in silver Birch and Scots Pine foliage from hyperspectral data2011 | 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
- Determination of chlorophyll content in selected grass communities of Krkonoše mts. tundra based on laboratory spectroscopy and aerial hyperspectral dat2022 | 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
- Classification of Tundra Vegetation in the Krkonose Mts. National Park Using APEX, AISA Dual and Sentinel-2A Data2017 | Faculty of Science
- Spectral variability in fine-scale drone-based imaging spectroscopy does not impede detection of target invasive plant species2023 | Faculty of Science
- Applying Spectral Unmixing to Determine Surface Water Parameters in a Mining Environment2014 | Faculty of Science
- Statistical comparison of foliage spectral and biochemical measurements on an example of Norway spruce stands in the Ore Mountains, Czech Republic2016 | 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
- 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
- The Use of Remote Sensing for Analyzing Geology, Topography and Environmental Changes in Mountains2014 | Faculty of Science
- Laboratory spectroradiometric measurements: methodology2017 | Faculty of Science
- Laboratory and image spectroscopy and their us for vegetation analysis2017 | Faculty of Science