Advancing Forest Monitoring using Sentinel-1 C-band SAR Time Series and Machine Learning Approaches
| Thesis title in Czech: |
Pokročilé monitorování lesů pomocí časových řad Sentinel-1 SAR dat v pásmu C a metod strojového učení |
| Thesis title in English: |
Advancing Forest Monitoring using Sentinel-1 C-band SAR Time Series and Machine Learning Approaches |
| Key words: |
radar se syntetickou aperturou (SAR), Sentinel-1, časové řady, les, strojové učení |
| English key words: |
Synthetic Aperture Radar (SAR), Sentinel-1, time series, forest, machine learning |
| Academic year of topic announcement: |
2020/2021 |
| Thesis type: |
dissertation |
| Thesis language: |
angličtina |
| Department: |
Department of Applied Geoinformatics and Cartography (31-370) |
| Supervisor: |
doc. RNDr. Přemysl Štych, Ph.D. |
| Author: |
hidden - assigned by the advisor |
| Date of registration: |
15.10.2020 |
| Date of assignment: |
16.10.2020 |
| Date of electronic submission: | 10.12.2024 |
|---|
| Date of proceeded defence: |
12.02.2025 |
| Opponents: |
doc. Ing. Jakub Brom, Ph.D. |
| |
Ing. Milan Lazecký, Ph.D. |
| |
prof. Fabio del Frate, Ph.D. |
| |
|
| Award: | Thesis was put forward for an award |
|---|
| Preliminary scope of work |
| Detekce a hodnocení změn lesních ploch pomocí časových řad radarových dat |
