Volume XLII-3/W6
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3/W6, 521-524, 2019
https://doi.org/10.5194/isprs-archives-XLII-3-W6-521-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3/W6, 521-524, 2019
https://doi.org/10.5194/isprs-archives-XLII-3-W6-521-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

  26 Jul 2019

26 Jul 2019

UTILIZATION OF SPACEBORNE C-BAND SAR DATA FOR ANALYSIS OF FLOOD IMPACT ON AGRICULTURE AND ITS MANAGEMENT

A. Tripathi and R. K. Tiwari A. Tripathi and R. K. Tiwari
  • Department of Civil Engineering, Indian Institute of Technology Ropar Rupnagar, Punjab, India

Keywords: SAR Interferometry, Coherence, Flood inundation, interferogram, Flood management

Abstract. North India, since time immemorial remained the cradle of agricultural development. Every year during the monsoons, there is a high upsurge in the river Rapti. This leads to heavy flooding in the area and takes a toll on life and property besides submerging acres of precious agricultural land. Till now, such floods have been mapped using satellite data from optical sensors, but in monsoons due to cloud cover the task becomes difficult. Spaceborne SAR (Synthetic Aperture RADAR) data solves this problem by offering all-weather availability. This study aims to utilize the potential of C-band dual PolSAR data from Sentinel-1A for flood mapping and analysis of its impact on agriculture along with suggesting mitigation measures. Sentinel-1A data of January and September 2018 was taken and pre-processed. Thereafter, an interferogram was prepared and was phase filtered using modified Goldstein phase filter to remove phase distortions and a DEM (Digital Elevation Model) was prepared. The phase maps generated were analyzed for phase variations after removing the topographic phase and it was found that there was very less phase variation from urban and agricultural lands surrounding the river which clearly indicated heavy flooding and submergence of land in water. Using the DEM map generated, hydrological processing was done to delineate flow lines and calculation of catchment area at point of maximum submergence of agricultural land. This was followed by the generation of contours in the area and finally, the flood impact analysis was done by calculating the water volume in watershed during the flood.