Fusion of SAR and optical remote sensing data for forest damage and recovery monitoring
| Název práce v češtině: | Fúze SAR a optických dat DPZ pro monitoring poškození a obnovy lesních porostů |
|---|---|
| Název v anglickém jazyce: | Fusion of SAR and optical remote sensing data for forest damage and recovery monitoring |
| Akademický rok vypsání: | 2020/2021 |
| Typ práce: | disertační práce |
| Jazyk práce: | angličtina |
| Ústav: | Katedra aplikované geoinformatiky a kartografie (31-370) |
| Vedoucí / školitel: | doc. RNDr. Lucie Kupková, Ph.D. |
| Řešitel: | skrytý - zadáno a potvrzeno stud. odd. |
| Datum přihlášení: | 10.03.2021 |
| Datum zadání: | 10.03.2021 |
| Datum potvrzení stud. oddělením: | 10.03.2021 |
| Konzultanti: | Ing. Markéta Potůčková, Ph.D. |
| Předběžná náplň práce |
| In particular, freely available satellite data (eg Sentinel-1 and Sentinel-2) will be used and analyzed to: 1) Explore various fusion and image classification techniques using optical and SAR datasets for assessment and monitoring of forest damage and regeneration (detection, identification/definition and analysis of forest regeneration phases) 2) Demonstrate the applicability of the coherence change method for monitoring forest damage and forest regeneration/succession. 3) To compare the applicability of special methods for the analysis of radar data and the combination of SAR and optical data with commonly used methods (vegetation indices, controlled classification). 4) Evaluate the benefit of data fusion for this type of analysis (compared to results obtained using only optical data or SAR data) |
| Předběžná náplň práce v anglickém jazyce |
| Mainly freely available satellite data (eg Sentinel-1 and Sentinel-2) time series will be used and analyzed with the objectives: 1) To explore various fusion and image classification techniques using optical and SAR datasets for bark beetle outbreaks and other types of forest damage monitoring and for the forest recovery monitoring (detection, identification / definition and analysis of the phases of forest regeneration) 2) To demonstrate the applicability of the coherence change method and demonstrate the applicability of the approach to monitor forest disturbance and recovery / succession. 3) To compare applicability of special methods for the radar (fused) data analysis with commonly used methods (vegetation indices, supervised classification). 4) To evaluate the benefit of data fusion for this type of analysis (in comparison with results obtained only from optical or SAR data) |