- Detection of forest disturbance using UAV multispectral imagery2018 | Faculty of Science
- MULTISPECTRAL UAV PHOTOGRAMMETRY OF BARK-BEETLE DRIVEN FOREST DISTURBANCE2016 | Faculty of Science
- USE OF A MULTISPECTRAL UAV PHOTOGRAMMETRY FOR DETECTION AND TRACKING OF FOREST DISTURBANCE DYNAMICS +12016 | Faculty of Science
- Dynamics of forest disturbance in central part of the Šumava mountains between 1985 and 2007 based on Landsat TM/ETM+ satellite data2008 | Faculty of Science
- Runoff Response to Climate Warming and Forest Disturbance in a Mid-Mountain Basin2015 | Faculty of Science
- Mountain forest disturbances analyzed using historical aerial imagery +12014 | Faculty of Science, Central Library of Charles University
- EVALUATION OF FOREST DISTURBANCES IN THE LOW TATRAS NATIONAL PARK USING TIME SERIES OF SATELLITE IMAGES2017 | Faculty of Science
- Forest Disturbances Threatening Cypripedium calceolus Populations Can Improve Its Habitat Conditions2023 | Faculty of Science
- Comparison of two types of forest disturbance using multitemporal Landsat TM/ETM+ imagery and field vegetation data2009 | Faculty of Science
- Changes in runoff in two neighbouring catchments in the Bohemian Forest related to climate and land cover changes2015 | Faculty of Science
- Chemical recovery of acidified Bohemian lakes between 1984 and 2012: the role of acid deposition and bark beetle induced forest disturbance2013 | Faculty of Science
- Geochemical responses of forested catchments to bark beetle infestation: Evidence from high frequency in-stream electrical conductivity monitoring2017 | Faculty of Science
- The influence of deforestation and decay of spruce forests on the surface temperature and possible consequences for runoff in central part of Šumava Mountains2007 | Publication without faculty affiliation
- The impact of disturbance on the dynamics of fluvial processes in mountain landscapes2015 | Faculty of Science
- Landsat Imagery Spectral Trajectories-Important Variables for Spatially Predicting the Risks of Bark Beetle Disturbance2016 | Faculty of Science
- Geochemical responses of forested catchments to bark beetle infestation: Evidence from high frequency in-stream electrical conductivity monitoringPublication without faculty affiliation
- Snow accumulation and ablation in different canopy structures at a plot scale: using degree-day approach and measured shortwave radiation2017 | Faculty of Science
- Canopy structure and topography effects on snow distribution at a catchment scale: Application of multivariate approaches2018 | Faculty of Science
- Estimating Snow Depth and Leaf Area Index Based on UAV Digital Photogrammetry2019 | Faculty of Science
- Evaluation of the influence of disturbances on forest vegetation using Landsat time series; a case study of the Low Tatras National Park2020 | Faculty of Science
- A Comparison of WorldView-2 and Landsat 8 Images for the Classification of Forests Affected by Bark Beetle Outbreaks Using a Support Vector Machine and a Neural Network: A Case Study in the Sumava Mountains2019 | Faculty of Science, First Faculty of Medicine, Faculty of Mathematics and Physics
- Impacts and underlying factors of landscape-scale, historical disturbance of mountain forest identified using archival documents2013 | Faculty of Science
- Impacts and underlying factors of landscape-scale historical disturbance of mountain forest identified using documentary archives +12013 | Faculty of Science
- Historical natural disturbances shape spruce primary forest structure and indirectly influence bird assemblage composition2021 | Faculty of Science
- Holocene spatio-temporal patterns of biomass burning in the Bohemian-Bavarian Forest Mountains (Central Europe)Publication without faculty affiliation
- Assessment of the cover changes and the soil loss potential in European forestland: First approach to derive indicators to capture the ecological impacts on soil-related forest ecosystems2016 | Faculty of Science
- Automatic Tree Crown Extraction from UAS Multispectral Imagery for the Detection of Bark Beetle Disturbance in Mixed Forests2020 | Faculty of Science