Classic approaches for the detection of flooded areas are based on a static analysis of optical images and/or SAR data during and after the event. In this paper, we aim to extract the flooded zones by using the SAR image coupled with the InSAR coherence. A new formulation of the ratio approach for flood detection is given considering InSAR coherence. Our contribution is to take advantage from the coherence map provided using the InSAR pairs (one before and one after the event) to enhance the detection of flooded areas. We explore the fact that the coherence values during and after the flood are mainly differents on the flooded zones and we give a more suitable flood decision rule using this assumption. The proposed approach is tested and va...
The utility of synthetic aperture radar (SAR) data to produce flood delineation maps is well establi...
Synthetic Aperture Radar (SAR) systems represent the most powerful tool to monitor flood events beca...
Floods are one of the most frequent and the costliest natural disasters. Accurate and rapid mapping ...
Classic approaches for the detection of flooded areas are based on a static analysis of optical imag...
The latest generation of synthetic aperture radar (SAR) systems allows providing emergency managers ...
SAR backscatter intensity has already been successfully exploited for the detection of different typ...
A stack of Sentinel-1 InSAR data in an urban area where flood events recurrently occur, namely Belet...
InSAR coherence-change detection (CCD) is a promising remote sensing technique that is able to map a...
In this paper, we assess the flood mapping capabilities of the X-band Synthetic Aperture Radar (SAR)...
Accurate flood mapping is important for both planning activity during emergencies and as a support f...
Synthetic aperture radar (SAR) acquisitions are particularly useful to produce flood maps thanks to ...
The use of synthetic aperture radar (SAR) data is presently well established in operational services...
Multitemporal coherence map has been successfully used for various types of surface characterized by...
Nowadays, satellite images are considered as one of the most relevant sources of information in the ...
Synthetic Aperture Radar (SAR) observations are widely used in emergency response for flood mapping ...
The utility of synthetic aperture radar (SAR) data to produce flood delineation maps is well establi...
Synthetic Aperture Radar (SAR) systems represent the most powerful tool to monitor flood events beca...
Floods are one of the most frequent and the costliest natural disasters. Accurate and rapid mapping ...
Classic approaches for the detection of flooded areas are based on a static analysis of optical imag...
The latest generation of synthetic aperture radar (SAR) systems allows providing emergency managers ...
SAR backscatter intensity has already been successfully exploited for the detection of different typ...
A stack of Sentinel-1 InSAR data in an urban area where flood events recurrently occur, namely Belet...
InSAR coherence-change detection (CCD) is a promising remote sensing technique that is able to map a...
In this paper, we assess the flood mapping capabilities of the X-band Synthetic Aperture Radar (SAR)...
Accurate flood mapping is important for both planning activity during emergencies and as a support f...
Synthetic aperture radar (SAR) acquisitions are particularly useful to produce flood maps thanks to ...
The use of synthetic aperture radar (SAR) data is presently well established in operational services...
Multitemporal coherence map has been successfully used for various types of surface characterized by...
Nowadays, satellite images are considered as one of the most relevant sources of information in the ...
Synthetic Aperture Radar (SAR) observations are widely used in emergency response for flood mapping ...
The utility of synthetic aperture radar (SAR) data to produce flood delineation maps is well establi...
Synthetic Aperture Radar (SAR) systems represent the most powerful tool to monitor flood events beca...
Floods are one of the most frequent and the costliest natural disasters. Accurate and rapid mapping ...