Indian Journal of Ecology
Web of Science
  • Year: 2019
  • Volume: 46
  • Issue: 3

Application of synthetic aperture radar imagery for spatiotemporal assessment of flood in nagavali river

  • Author:
  • P.M. Thameemul Hajaj, Kiran Yarrakula1
  • Total Page Count: 4
  • Page Number: 521 to 524

1Centre for Disaster Mitigation and Management, Vellore Institute of TechnologyVellore-632 014, India

School of Civil Engineering, Vellore-632 014, India

*E-mail: kiranyadavphysik@gmail.com

Online Published on 02 April, 2022.

Abstract

In recent years, the frequency and magnitude of the flood extremely increased due to the effect of climate change. Nagavali River is one of the major flood contributing regions in Andhra Pradesh, India. Synthetic Aperture Radar (SAR) data from Sentinel-1 satellite has been used to perform the flood assessment in Nagavali River. SAR data has the capability to provide accurate, cost-effective, and rapid flood mapping. The preparation of the flood inundation map from SAR imagery involves two major processes such as image pre-processing and image classification. The image pre-processing includes radiometric calibration, speckle filtering, and geometric correction. The preprocessing carried out for raw data obtained from the Sentinel-1 satellite. The unsupervised image classification technique has been used to classify the inundated regions from SAR images. In the present research work, image analysis performed for before, after, and during the flood for the year 2018. Flooded regions have been estimated from the difference of permanent water body extent available from the open street map (OSM) with classified flood inundated region generated from the SAR image. The estimated inundated areas for before, during, and after flood are 89.5, 130.6, and 87.1 km2, respectively.

Keywords

Nagavali river, Flood inundation mapping, Unsupervised classification, SAR data, Open street map