Psinsar Based Land Deformation Based Disaster Monitoring Using Sentinel-1 Datasets

Abstract

Microwave Remote Sensing using SAR interferometry is a major tool for the land deformation monitoring. The time series InSAR techniques like PsInSAR are quite efficient for retrieving the land deformation using permanent scatterer candidates information. The study area is selected as the city of Lucknow, capital of Uttar Pradesh state in India. This study utilizes Sentinel-1 IW mode TOPS 58 ascending and 59 descending modes datasets. The land subsidence was retrieved using both the ascending and descending pass datasets separately followed by the integration of ascending and descending mode displacement velocity vectors. © 2019 IEEE.