Publications
- Automatic forest cover classification using Sentinel-2 multispectral satellite data and machine learning algorithms in Google Earth Engine2023 | Faculty of Science
- Random Forest Classification of Land Use, Land-Use Change and Forestry (LULUCF) Using Sentinel-2 Data - A Case Study of Czechia2022 | Faculty of Science
- Combining Landsat 8 and Sentinel-2 Data in Google Earth Engine to Derive Higher Resolution Land Surface Temperature Maps in Urban Environment2022 | Faculty of Science
- Land Cover-Specific Local Incidence Angle Correction: A Method for Time-Series Analysis of Forest Ecosystems2021 | Faculty of Science
- Czech Historical Atlas. Chapters on the History of the 20th Century2019 | Faculty of Science
- Evaluation of the land cover change in the former military training area Brdy using remote sensing2018 | Faculty of Science
- Evaluation of remote sensing methods and data for land cover classification: case studies of former military training areas Brdy and Ralsko2018 | Faculty of Science
- Trans-Atlantic-Training (TAT) 2022: A Changing Eastern Europe: New Challenges for Science and Capacity Building in Land Remote SensingPublication without faculty affiliation
- Unsupervised Burned Area Mapping in Greece: Investigating the Impact of Precipitation, Pre- and Post-Processing of Sentinel-1 Data in Google Earth Engine2023 | Faculty of Science
- Sentinel-2 Data in an Evaluation of the Impact of the Disturbances on Forest Vegetation2020 | Faculty of Science
Loading network view...