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2020 | OriginalPaper | Chapter

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

Authors : Fathoni Usman, Erwin Ibrahim

Published in: Proceedings of AICCE'19

Publisher: Springer International Publishing

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Abstract

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.

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Literature
1.
go back to reference BPS-Statistics of Banyuasin Regency (2018) Banyuasin Regency in figures 2018. Badan Pusat Statistik BPS-Statistics of Banyuasin Regency (2018) Banyuasin Regency in figures 2018. Badan Pusat Statistik
2.
go back to reference Komite Nasional Keselamatan Transportasi (2018) Laporan Investigasi Kecelakaan Pelayaran: Tenggelamnya kapal Awet Muda di Hilir Sungai Banyuasin, Sumatera Selatan. In FINAL KNKT.18.01.02.03 Komite Nasional Keselamatan Transportasi (2018) Laporan Investigasi Kecelakaan Pelayaran: Tenggelamnya kapal Awet Muda di Hilir Sungai Banyuasin, Sumatera Selatan. In FINAL KNKT.18.01.02.03
3.
go back to reference Faturachman D, Mustafa S (2012) Sea transportation accident analysis in Indonesia. Procedia Soc Behav Sci 40:616–621CrossRef Faturachman D, Mustafa S (2012) Sea transportation accident analysis in Indonesia. Procedia Soc Behav Sci 40:616–621CrossRef
4.
go back to reference Schlaffer S, Matgen P, Hollaus M, Wagner W (2015) Flood detection from multi-temporal SAR data using harmonic analysis and change detection. Int J Appl Earth Obs Geoinf 38:15–24CrossRef Schlaffer S, Matgen P, Hollaus M, Wagner W (2015) Flood detection from multi-temporal SAR data using harmonic analysis and change detection. Int J Appl Earth Obs Geoinf 38:15–24CrossRef
5.
go back to reference Bioresita F, Puissant A, Stumpf A, Malet JP (2018) A method for automatic and rapid mapping of water surfaces from Sentinel-1 imagery. Remote Sens 10(217):1–17 Bioresita F, Puissant A, Stumpf A, Malet JP (2018) A method for automatic and rapid mapping of water surfaces from Sentinel-1 imagery. Remote Sens 10(217):1–17
6.
go back to reference Li Y, Martinisa S, Planka S, Ludwig R (2018) An automatic change detection approach for rapid flood mapping in Sentinel-1 SAR data. Int J Appl Earth Obs Geoinf 73:123–135CrossRef Li Y, Martinisa S, Planka S, Ludwig R (2018) An automatic change detection approach for rapid flood mapping in Sentinel-1 SAR data. Int J Appl Earth Obs Geoinf 73:123–135CrossRef
7.
go back to reference Steinhausena MJ, Wagnerc PD, Narasimhand D, Waske B (2018) Combining Sentinel-1 and Sentinel-2 data for improved land use and land cover mapping of monsoon regions. Int J Appl Earth Obs Geoinf 73:595–604CrossRef Steinhausena MJ, Wagnerc PD, Narasimhand D, Waske B (2018) Combining Sentinel-1 and Sentinel-2 data for improved land use and land cover mapping of monsoon regions. Int J Appl Earth Obs Geoinf 73:595–604CrossRef
8.
go back to reference Anusha N, Bharathi B (2019) Flood detection and flood mapping using multi-temporal synthetic aperture radar and optical data. Egypt J Remote Sens Space Sci, In Press Anusha N, Bharathi B (2019) Flood detection and flood mapping using multi-temporal synthetic aperture radar and optical data. Egypt J Remote Sens Space Sci, In Press
9.
go back to reference Whyte A, Ferentinos KP, Petropoulos GP (2018) A new synergistic approach for monitoring wetlands using Sentinels-1 and 2 data with object-based machine learning algorithms. Environ Model Softw 104:40–54CrossRef Whyte A, Ferentinos KP, Petropoulos GP (2018) A new synergistic approach for monitoring wetlands using Sentinels-1 and 2 data with object-based machine learning algorithms. Environ Model Softw 104:40–54CrossRef
10.
go back to reference Veloso A, Mermoz S, Bouvet A, Toan TL, Planells M, Dejoux JF, Ceschia E (2017) Understanding the temporal behavior of crops using Sentinel-1 and Sentinel-2-like data for agricultural applications. Remote Sens Environ 199:415–426CrossRef Veloso A, Mermoz S, Bouvet A, Toan TL, Planells M, Dejoux JF, Ceschia E (2017) Understanding the temporal behavior of crops using Sentinel-1 and Sentinel-2-like data for agricultural applications. Remote Sens Environ 199:415–426CrossRef
11.
go back to reference Wood M, de Jong SM, Straatsma MW (2018) Locating flood embankments using SAR time series: a proof of concept. Int J Appl Earth Obs Geoinf 70(September 2017), 72–83CrossRef Wood M, de Jong SM, Straatsma MW (2018) Locating flood embankments using SAR time series: a proof of concept. Int J Appl Earth Obs Geoinf 70(September 2017), 72–83CrossRef
12.
go back to reference Muldiyatno F, Djunarsjah E, Adrianto D, Pranowo WS (2017) Kajian Awal Perubahan Muka Air Sungai untuk Penentuan Datum Peta (Studi Kasus Sungai Musi Palembang). Jurnal Chart Datum 01(02):36–42 Muldiyatno F, Djunarsjah E, Adrianto D, Pranowo WS (2017) Kajian Awal Perubahan Muka Air Sungai untuk Penentuan Datum Peta (Studi Kasus Sungai Musi Palembang). Jurnal Chart Datum 01(02):36–42
13.
go back to reference Hasibuan RD, Surbakti H, Sitep R (2015) Tidal analysis using least squares method and determination of the return period of tidal using Gumbel method in Boom Baru and Tanjung Buyut. Maspari J 1(7):35–48 Hasibuan RD, Surbakti H, Sitep R (2015) Tidal analysis using least squares method and determination of the return period of tidal using Gumbel method in Boom Baru and Tanjung Buyut. Maspari J 1(7):35–48
15.
go back to reference ESA (2019) The Sentinel Application Platform (SNAP), a common architecture for all Sentinel Toolboxes being jointly developed by Brockmann Consult, Array Systems Computing and C-S. Downloadable on http://step.esa.int/main/download/. European Space Agency (ESA) ESA (2019) The Sentinel Application Platform (SNAP), a common architecture for all Sentinel Toolboxes being jointly developed by Brockmann Consult, Array Systems Computing and C-S. Downloadable on http://​step.​esa.​int/​main/​download/​. European Space Agency (ESA)
16.
go back to reference CEOS (2018) A Layman’s interpretation guide to L-band and C-band synthetic aperture radar data version 2.0. Committee on Earth Observation Satellite System Engineering Office (SEO) CEOS (2018) A Layman’s interpretation guide to L-band and C-band synthetic aperture radar data version 2.0. Committee on Earth Observation Satellite System Engineering Office (SEO)
17.
go back to reference Huang W, DeVries B, Huang C, Lang MW, Jones JW, Creed IF, Carroll ML (2018) Automated extraction of surface water extent from Sentinel-1 data. Remote Sens 10(797):1–18 Huang W, DeVries B, Huang C, Lang MW, Jones JW, Creed IF, Carroll ML (2018) Automated extraction of surface water extent from Sentinel-1 data. Remote Sens 10(797):1–18
Metadata
Title
Detecting Seasonal Extent of Inundated Area of River Body in Banyuasin Regency Using Radar Data of Sentinel-1A
Authors
Fathoni Usman
Erwin Ibrahim
Copyright Year
2020
DOI
https://doi.org/10.1007/978-3-030-32816-0_55