Flood Impact and Damage Assessment Based on the Sentitnel-1 SAR Data Using Google Earth Engine

Floods, as cataclysmic events, are often commonly brought on by floods and heavy downpours or by overflowing streams, rivers or seas; this sort of destructive occurrence is one of the most frequently recognised and affects nearly every sector and Earth area. This recommended practice involves supplying vital disaster data for both short- and long-haul flood worries. The tool offers a flood scale chart using Sentinel-1 SAR (synthetic aperture radar) images, just as cropland and community focus data presentations have been affected to address the entirety of essential issues caused by floods. Remote sensing data is a valuable asset for outlining areas. As of late, the availability of free satellite data has dramatically increased in terms of form and recurrence, making it easier to build flood maps across the globe. Propose a semiautomatic flood mapping system right now with free satellite imagery and open-source tools in mind. Google Earth Engine (GEE) is given an essential platform for impact analysis and damage assessment based on the SAR data. Rapid analysis of SAR data also identified how much area was affected due to flood. The possibility of flooding causes a significant loss of life and property, leading to the instability of human civilisation. Flood risk analysis is also needed to understand flood singularities, particularly for development and mitigation determinations. The central portion of the Panchganga River was chosen for current research. The essential purpose of the present thesis was to use Google Earth Engine mapping to determine the possible flood risk regions of the Panchganga River. A flood setup was done based on the SAR data of 5 August 2005 around the river area. The holding method was used to SAR data applied on separate flooded and non-flooded areas. Area outcomes can be significant for flood planning and damage.