Radarsat Lagrangian flow effects on oil spill spreading
ABSTRACT This paper presents work done utilizing Radarsat fine mode data to model the Lagrangian effects on oil spill trajectory model. The input for the model is current field derived from a 2 D hydrodynamic model. The correlation statistical model was applied to modulate the Radarsat water movements with current field by applying Doppler frequency shift model. The study shows that current movements are the main effect on oil spill spreading compared to wind speed and direction. Verification of simulation results with those of tidal current model shows a good agreement in the direction of the oil spill movements. In conclusion, Radarsat data has good potential for oil spills detection and mapping. Radarsat data could be used to model the Lagrangian effects on oil spill trajectory model. The main effect on the oil spill movements in Malacca Straits is the tidal current flow.
- SourceAvailable from: Andrea Garzelli
Conference Proceeding: Oil-spills detection in SAR images by fractal dimension estimation[show abstract] [hide abstract]
ABSTRACT: The paper describes a multi-resolution algorithm based on fractal geometry for texture analysis and detection of oil spills in SAR images. The multi-resolution approach reduces the problems of speckle and sea clutter and preserves subtle variations of oil slicks. The use of fractal dimension as a feature for classification improves the oil spill detection, since enhances texture discrimination. The proposed approach computes the fractal dimension from power spectra: the ratio between powers at different scales is straightforwardly related to fractal dimension. The proposed method to compute a fractal signature is based on the multi-scale image decomposition obtained by the normalized Laplacian pyramid which provides a reliable estimation of the fractal dimension even in the presence of speckleGeoscience and Remote Sensing Symposium, 1999. IGARSS '99 Proceedings. IEEE 1999 International; 02/1999