Sentinel-1 SAR Data for Flood Land Identification with analyzing and Its Socio-Economic Consequences in Patashpur-I CD block, Purba Medinipur, West Bengal, India.
Sentinel-1 SAR, Threshold method, Flood Identification, Flood depth, NDWI.
Synthetic Aperture Radars (SAR) are the active microwave remote Sensing sensor used for terrestrial earth observed from the space platforms. In this paper the SAR microwave satellite imageries are along with the key processing elements and important analysis techniques that are used for the extraction of flooded area, spread of flood water, flood depth, duration of flood dynamics and delineate permanent water bodies using NDWI (Normalized Difference Water Index) through the multispectral Landsat data. This paper presented the potentiality used of the Sentinel-1 SAR images as a powerful tool for used detect the flood water extend and monitor the flood water propagation in the part of Patashpur-I CD block, 2021.This paper describes a threshold method to extract flooded extension area from the SAR images. On the basis of the findings, it is clear that the study shows a simple and effective way to use SAR Remote Sensing and GIS for creating flood inundation map, time series maps of flood extent, monitoring areal changes of inundation and duration of inundation. Sentinel-1 SAR data VV and VH polarization help us to identify the flood area during monsoon cloud cover weather condition. Dem pre-processing and generation for flood depth estimation is very effective for flood land identification. Patashpur-I CD block and its surrounding area is the most effective flood affected area for month of September, 2021.In monsoon season July to September month is heavy rainfall is recommend this flood. Another present study to the related primary data collected through the intensive fieldwork during the post flood period. The collected data tabulated and presented by appropriate cartographic techniques. The study implies heavy rainfall occurred during 4th September to 28th September worth affected on the social-economic condition of the village. In the month of September, 2021, a number of crops contained in 63.8% (111.23 sq. km) Agricultural lands were damage by flood. In spite of this, livestock, shops and households were also affected by the flood disaster during in this year.
Article Details
Unique Paper ID: 158504

Publication Volume & Issue: Volume 9, Issue 9

Page(s): 592 - 604
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