Detecting Seasonal Extent of Inundated Area of River Body in Banyuasin Regency Using Radar Data of Sentinel-1A

Floods; Image enhancement; Radar imaging; Rivers; Satellite imagery; Water levels; Area of coverages; Computational power; Erosion and sedimentation; Inundated area; Polarisation indices; Sentinel-1; Temporal and spatial; Water transportation; Synthetic aperture radar

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Bibliographic Details
Main Authors: Usman F., Ibrahim E.
Other Authors: 55812540000
Format: Book Chapter
Published: Springer 2023
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spelling my.uniten.dspace-257912023-05-29T16:14:20Z Detecting Seasonal Extent of Inundated Area of River Body in Banyuasin Regency Using Radar Data of Sentinel-1A Usman F. Ibrahim E. 55812540000 57213140640 Floods; Image enhancement; Radar imaging; Rivers; Satellite imagery; Water levels; Area of coverages; Computational power; Erosion and sedimentation; Inundated area; Polarisation indices; Sentinel-1; Temporal and spatial; Water transportation; Synthetic aperture radar Analysis of Synthetic Aperture Radar (SAR) data from satellite imagery has become preferable by enhancement of its technology, reliable temporal and spatial resolution, computational power and extensive area of coverage. This paper presents the use of SAR data to map the extent of the inundated area of the river as the primary access way in Banyuasin Regency for water transportation. In this study, 1-year data set of Ground Range Detected (GRD) type radar data from Sentinel-1A�s mission was used and analysed by using the Science Toolbox Exploitation Platform (SNAP) toolbox. Related factors on a diurnal tide of river water level and climate which controls the inundated area located mostly within lowland and the biannual season were taken into consideration in the selection of the data set. It is found that the extended inundated area of water body clearly detected. The enhanced polarisation index (VHdB*) which was developed have given a better insight for a response on the extent of inundated area and siltation caused by erosion and sedimentation. � Springer Nature Switzerland AG 2020. Final 2023-05-29T08:14:20Z 2023-05-29T08:14:20Z 2020 Book Chapter 10.1007/978-3-030-32816-0_55 2-s2.0-85077584287 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85077584287&doi=10.1007%2f978-3-030-32816-0_55&partnerID=40&md5=56d4611e3e52f7d3ec1d397b5aab30b2 https://irepository.uniten.edu.my/handle/123456789/25791 53 771 784 Springer Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Floods; Image enhancement; Radar imaging; Rivers; Satellite imagery; Water levels; Area of coverages; Computational power; Erosion and sedimentation; Inundated area; Polarisation indices; Sentinel-1; Temporal and spatial; Water transportation; Synthetic aperture radar
author2 55812540000
author_facet 55812540000
Usman F.
Ibrahim E.
format Book Chapter
author Usman F.
Ibrahim E.
spellingShingle Usman F.
Ibrahim E.
Detecting Seasonal Extent of Inundated Area of River Body in Banyuasin Regency Using Radar Data of Sentinel-1A
author_sort Usman F.
title Detecting Seasonal Extent of Inundated Area of River Body in Banyuasin Regency Using Radar Data of Sentinel-1A
title_short Detecting Seasonal Extent of Inundated Area of River Body in Banyuasin Regency Using Radar Data of Sentinel-1A
title_full Detecting Seasonal Extent of Inundated Area of River Body in Banyuasin Regency Using Radar Data of Sentinel-1A
title_fullStr Detecting Seasonal Extent of Inundated Area of River Body in Banyuasin Regency Using Radar Data of Sentinel-1A
title_full_unstemmed Detecting Seasonal Extent of Inundated Area of River Body in Banyuasin Regency Using Radar Data of Sentinel-1A
title_sort detecting seasonal extent of inundated area of river body in banyuasin regency using radar data of sentinel-1a
publisher Springer
publishDate 2023
_version_ 1806427569146298368
score 13.214268