Monitoring and change detection of natural disaster (like subsidence) using Synthetic Aperture Radar (SAR) data

Abstract

Synthetic Aperture Radar (SAR) is capable of generating fine-resolution images of the earth terrain unhindered by weather and illumination conditions. These special properties develop interest in the researchers worldwide for maximum use of Radar images for various applications. In this chain, monitoring natural disaster with SAR images is one of the challenging research areas. The present paper deals with monitoring and observing the changes in subsidence due to natural disaster. For this purpose, New Orleans City of USA has been taken as a test area. MRD(Minimum Ratio detector) is applied on raw SAR data and D-InSAR on complex data to monitor and observe change detection due to subsidence in this area.