Isundwa, F and Simpson, M D and Akbari, V and Datta, A and Nagendra, P G and Pranuthi, G and Silva, T and Rupavatharam, S and Marino, A (2024) Monitoring temporal trends to assess infestation of water hyacinth in Lake Victoria using PolSAR. In: 15th European Conference on Synthetic Aperture Radar, 23-26 April 2024, Munich, Germany.
Full text not available from this repository. (Request a copy)Abstract
Water hyacinth (WH) is a dreadful invasive species in Lake Victoria which spreads and forms vast floating mats. In this research, the temporal variability of WH is assessed using PolSAR data by applying the Optimization of Power Difference (OPDiff) change detection technique on Sentinel-1 IW SLC data. The detector separated WH from clear water using the minimum eigenvalues by selecting the contribution from unpolarized scattering. The algorithms allowed quantification of temporal monthly and annual trends which established that highest WH amounts were recorded in 2018 within the last 4 months of the year.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Divisions: | Global Research Program - Resilient Farm and Food Systems |
| CRP: | UNSPECIFIED |
| Uncontrolled Keywords: | Infestation, Water Hyacinth, Change Detection, Invasive Species, Clean Water, Minimum Eigenvalue, Vegetation, Covariance Matrix, Eigenvectors, End Of Year, Satellite Data, Synthetic Aperture Radar, European Space Agency, Synthetic Aperture Radar Data, Lake Shore, High Backscatter |
| Subjects: | Others > Water Resources Others > Digital Agriculture |
| Depositing User: | Mr Nagaraju T |
| Date Deposited: | 29 Aug 2025 08:37 |
| Last Modified: | 29 Aug 2025 08:37 |
| URI: | http://oar.icrisat.org/id/eprint/13309 |
| Acknowledgement: | UNSPECIFIED |
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