Use of Sentinel-1 imagery for flood management in a reservoir-regulated river basin

T. PERROU , A. GARIOUD , I. PARCHARIDIS

Front. Earth Sci. ›› 2018, Vol. 12 ›› Issue (3) : 506 -520.

PDF (12603KB)
Front. Earth Sci. ›› 2018, Vol. 12 ›› Issue (3) : 506 -520. DOI: 10.1007/s11707-018-0711-2
RESEARCH ARTICLE
RESEARCH ARTICLE

Use of Sentinel-1 imagery for flood management in a reservoir-regulated river basin

Author information +
History +
PDF (12603KB)

Abstract

Flood hazard monitoring and mapping is of great importance because it represents a significant contribution to risk management. The present study investigated the flood event that occurred downstream from the transboundary Strymon River basin, more specifically at Serres basin–a reservoir-regulated basin, in the beginning of 2015. The focus of this study was to better understand the spatio-temporal dynamic of the flood and the causes that initiated the hazard. Within the Serres basin, the Strymon transboundary river outflows to Lake Kerkini, which regulates water flow downstream for irrigation purposes and flood protection. For this research, a dataset of Sentinel-1 SAR GRD images was collected and processed covering the period of October 2014‒October 2015 to investigate the water level changes in Lake Kerkini. Based on SAR images, binary water/non-water products and multitemporal RGB amplitude images were generated and interpreted. Sentinel-1 products have proved to be an effective tool on flood hazard dynamic extension mapping and estimation of water extent bodies retained by small reservoirs. In agreement with hydro-meteorological data and the high-resolution DEM, it was conceived that the flood event occurred due to the water volume flowing from upstream in the reservoir and the large amount of water draining from the tributaries into nearby sub-basins. Moreover, inefficient water management of the overwhelming water flow through the dam could further strengthen the flood event. The proposed approach, which is entirely based on open access remotely sensed data and processing tools, could be implemented in the same area for past flood events to produce archive retrospective data, as well as in other similar reservoir-regulated river basins in terms of water management and flood risk management.

Keywords

flood mapping / Sentinel-1 / SAR / binary images / multitemporal image / river basin

Cite this article

Download citation ▾
T. PERROU, A. GARIOUD, I. PARCHARIDIS. Use of Sentinel-1 imagery for flood management in a reservoir-regulated river basin. Front. Earth Sci., 2018, 12(3): 506-520 DOI:10.1007/s11707-018-0711-2

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

Acford M (2015). The reservoirs act 1975 and reservoir risk designations. Dams and Reservoirs, 25(2): 56–57

[2]

Albers S J, Déry S J, Petticrew E L (2016). Flooding in the Nechako River basin of Canada: a random forest modeling approach to flood analysis in a regulated reservoir system. Can Water Resour J, 41(1–2): 250–260

[3]

Alfieri L, Burek P, Dutra E, Krzeminski B, Muraro D, Thielen J, Pappenberger F (2013). GloFAS-global ensemble streamflow forecasting and flood early warning. Hydrol Earth Syst Sci, 17(3): 1161–1175

[4]

Amitrano D, Martino G D, Iodice A, Riccio D, Ruello G (2017). Small reservoirs extraction in semiarid regions using multitemporal synthetic aperture radar images. IEEE J Sel Top Appl Earth Obs Remote Sens, 10(8): 3482–3492

[5]

Balser A W, Wylie B K (2010). Multitemporal L- and C-band synthetic aperture radar to highlight differences in water status among boreal forest and wetland systems in the Yukon Flats, interior Alaska. U.S. Geological Survey Open-File Report 2010-1027, 18 p

[6]

Ban Y, Hu H (2007). Multitemporal RADARSAT-1 fine-beam SAR data for land-cover mapping and change detection. In: Proceedings Urban Remote Sens. Joint Event, Paris, France, 1–7

[7]

Bazi Y, Bruzzone L, Melgani F (2005). An unsupervised approach based on the generalized gaussian model to automatic change detection in multitemporal SAR images. IEEE Trans Geosci Remote Sens, 43(4): 874–887

[8]

Bioresita F, Puissant A, Stumpf A, Male J P (2017). Active and passive remote sensing data time series for flood detection and surface water mapping. Geophys Res Abstr, 19: EGU2017–10082

[9]

Brivio P A, Colombo R, Maggi M, Tomasoni R (2002). Integration of remote sensing data and GIS for accurate mapping of flooded areas. Int J Remote Sens, 23(3): 429–441

[10]

Bullón T (2011). Relationships between precipitation and floods in the fluvial basins of Central Spain based on documentary sources from the end of the 16th century. Nat Hazards Earth Syst Sci, 11(8): 2215–2225

[11]

Chini M, Hostache R, Giustarini L, Matgen P (2017). A hierarchical split-based approach for parametric thresholding of SAR images: flood inundation as a test case. IEEE Trans Geosci Remote Sens, 55(12): 6975–6988

[12]

Chini M, Papastergios A, Pulvirenti L, Pierdicca N, Matgen P, Parcharidis I (2016). SAR coherence and polarimetric information for improving flood mapping. In: Proceedings of the International Geoscience and Remote Sensing Symposium (IGARSS), Beijing, China, 10‒15 July, 2016, 7577–7580

[13]

Chini M, Piscini A, Cinti F R, Amici S, Nappi R, De Martini P M (2013). The 2011 Tohoku-Oki (Japan) tsunami inundation and liquefaction investigated by optical, thermal and SAR data. IEEE Geosci Remote Sens Lett, 10(2): 347–351

[14]

Chini M, Pulvirenti L, Pierdicca N (2012). Analysis and interpretation of the COSMO-SkyMed observations of the 2011 Japan Tsunami. IEEE Geosci Remote Sens Lett, 9(3): 467–471

[15]

Curlander J C, McDonough R N (1991). Synthetic Aperture Radar: Systems and Signal Processing. New York: John Wiley and Sons

[16]

De Roo A J, Van Der Knijff M, Horritt G, Schmuck De Jong S (1999). Assessing flood damages of the 1997 Oder flood and the 1995 Meuse flood. Paper presented at 2nd International ITC Symposium on Operationalization of Remote Sensing, Enschede, Netherlands

[17]

De Zan F, Monti Guarnieri A M (2006). TOPSAR: terrain observation by progressive scans. IEEE Trans Geosci Remote Sens, 44(9): 2352–2360

[18]

Doulgeris Ch, Halkidis I, Papadimos D (2008). Use of modern technology for the protection and management of water resources in Strymonas/Struma River basin. The Goulandris Natural History Museum- Greek Biotope/Wetland Centre. Thermi, Greece. p. 82

[19]

Foumelis M (2017). Impact of dam failure induced flood on road network using combined remote sensing and geospatial approach. J Appl Remote Sens, 11(1): 016004

[20]

Gauvin C, Delage E, Gendreau M (2017). Decision rule approximations for the risk averse reservoir management problem. Eur J Oper Res, 261(1): 317–336

[21]

Giustarini L, Hostache R, Matgen P, Schumann G J P, Bates P D, Mason D C (2013). A change detection approach to flood mapping in urban areas using TerraSAR-X. IEEE Trans Geosci Remote Sens, 51(4): 2417–2430

[22]

Henry J B, Chastanet P, Fellah K, Desnos Y L (2006). ENVISAT multi-polarised ASAR data for flood mapping. Int J Remote Sens, 27(10): 1921–1929

[23]

Herschy R W (2009). Streamflow Management. Rouledge publisher, London, p. 507

[24]

Horritt M S (2006). A methodology for the validation of uncertain flood inundation models. J Hydrol (Amst), 326(1–4): 153–165

[25]

Horritt M S, Mason D C, Luckman A J (2001). Flood boundary delineation from synthetic aperture radar imagery using a statistical active contour model. Int J Remote Sens, 22(13): 2489–2507

[26]

Hostache R (2006). Satellite image analysis for three-dimensional flood hazard characterisation and hydrolic modelling support. Dissertation for PhD degree. Sciences of the Universe, UMR Territories, Environment, Remote Sensing and Spatial Information, Cemagref/ENGREF/CIRAD, Montpellier, France, p. 197 (in French)

[27]

Inglada J, Mercier G (2007). A new statistical similarity measure for change detection in multitemporal SAR images and its extension to multiscale change analysis. IEEE Trans Geosci Remote Sens, 45(5): 1432–1445

[28]

Jerrentzup H (1992). The fauna of Lake Kerkini. In: Gerakis P A, ed. Conservation and Management of Greek Wetlands. Proceedings of a Greek Wetlands Workshop, Thessaloniki, Greece, 1989, IUCN, Gland, Switzerland

[29]

Karydakis A, Arvanitis A, Andritsos N, Fytikas M (2005). Low enthalpy geothermal fields in the Strymon Basin (Northern Greece). In: Proceedings World Geothermal Congress 2005 Antalya, Turkey, 24‒29 April, 2005

[30]

Kattenborn G, Nezry E, De Grandi G, Sieber A J (1993). High resolution detection and monitoring of changes using ERS-1 time series. In: Proceedings of 2nd ERS-1 Symposium, Hamburg, Germany, 11‒14 October, 1993 (ESA, ESTEC: The Netherlands). 635–642

[31]

Kiage L M, Walker N D, Balasubramanian S, Babin A, Barras J (2005). Applications of Radarsat-1 synthetic aperture radar imagery to assess hurricane-related flooding of coastal Louisiana. Int J Remote Sens, 26(24): 5359–5380

[32]

Klemas V (2015). Remote sensing of floods and flood-prone areas: an overview. J Coast Res, 31(4): 1005–1013

[33]

Kundzewicz Z W, Kanae S, Seneviratne S I, Handmer J, Nicholls N, Peduzzi P, Mechler R, Bouwer L M, Arnell N, Mach K, Muir-Wood R, Brakenridge G R, Kron W, Benito G, Honda Y, Takahashi K, Sherstyukov B (2014). Flood risk and climate change: global and regional perspectives. Hydrol Sci J, 59(1): 1–28

[34]

Kussul N, Shelestov A, Skakun S V (2011). Flood Monitoring from SAR Data. In: Kogan F, Powell A, Fedorov O, eds. Use of Satellite and In-situ Data to Improve Sustainability. NATO Science for Peace and Security Series C: Environmental Security. Springer: 19–29

[35]

Levsen M, Conway J A, Sieber A (1993). Evaluating multitemporal ERS-1 data for tropical forest mapping: regional mapping and change detection applications. In: Proceedings of 2nd ERS-1 Symposium, Hamburg, Germany, 11‒14 October, 1993 (ESA, ESTEC: The Netherlands)

[36]

Lopes A, Nezry E, Touzi R, Laur H (1993). Structure detection and statistical adaptive speckle filtering in SAR images. Int J Remote Sens, 14(9): 1735–1758

[37]

Martinis S, Kersten J, Twele A (2015). A fully automated TerraSAR-X based flood service. ISPRS J Photogramm Remote Sens, 104: 203–212

[38]

Mateo C M, Hanasaki N, Komori D, Tanaka K, Kiguchi M, Champathong A, Sukhapunnaphan T, Yamazaki D, Oki T (2014). Assessing the impacts of reservoir operation to floodplain inundation by combining hydrological, reservoir management, and hydrodynamic models. Water Resour Res, 50(9): 7245–7266

[39]

Milly P C D, Wetherald R T, Dunne K A, Delworth T L (2002). Increasing risk of great floods in a changing climate. Nature, 415(6871): 514–517

[40]

Motovilov Y, Danilov-Danilyan V, Dod E, Kalugin A (2015). Flood protection effect of the existing and projected reservoirs in the Amur River basin: evaluation by the hydrological modelling system. In: the IAHS-AISH Proceedings and Reports, 370: 63–67

[41]

Nakmuenwai P, Yamazaki F, Liu W (2017). Automated extraction of inundated areas from multitemporal dual-polarization radarsat-2 images of the 2011 central Thailand flood. Remote Sens, 9(1): 78

[42]

Nazry E, Lopes A, Touzi R (1991). Detection of structural and textural features for SAR images filtering. Proceedings of IGARSS, 91: 2169–2172

[43]

Oberstadler R, Hönsch H, Huth D (1997). Assessment of the mapping capabilities of ERS-1 SAR data for flood mapping: a case study in Germany. Hydrol Processes, 11(10): 1415–1425

[44]

Ogilvie A, Belaud G, Massuel S, Mulligan M, Le Goulven P, Calvez R (2016). Assessing floods and droughts in ungauged small reservoirs with long-term landsat imagery. Geosciences (Switzerland), 6(4), https://doi.org/10.3390/geosciences 6040042

[45]

Papafilippou-Pennou E (2004). Dynamic Evolution and Recent Exogenic Processes of (Strymon) River Network in Serres Graben (North Greece). Dissertation for PhD degree. Department of Physical Environmental Geography, School of Geology, Faculty of Sciences, Aristotle University of Thessaloniki. 1–243

[46]

Perrou T, Papastergios A, Parcharidis I, Chini M (2017). Spatiotemporal hazard mapping of a flood event ‘migration’ in a Transboundary River Basin as an operational tool in Flood Risk Management. In: Proceedings of SPIE 10426, Active and Passive Microwave Remote Sensing for Environmental Monitoring, 104260A (3 October 2017)

[47]

Peter S J, De Araújo J C, Araújo N A M, Herrmann H J (2014). Flood avalanches in a semiarid basin with a dense reservoir network. J Hydrol (Amst), 512: 408–420

[48]

Petiteville I, Ward S, Dyke G, Steventon M, Harry J (2015). Satellite Earth Observations in Support of Disaster Risk Reduction. CEOS Earth Observation Handbook, 3rd UN World Conference on Disaster Risk Reduction: European Space Agency

[49]

Pierdicca N, Chini M, Pulvirenti L, Macina F (2008). Integrating physical and topographic information into a fuzzy scheme to map flooded area by SAR. Sensors (Basel), 8(7): 4151–4164

[50]

Pierdicca N, Pulvirenti L, Chini M, Guerriero L, Candela L (2013). Observing floods from space: experience gained from COSMO-SkyMed observations. Acta Astronaut, 84: 122–133

[51]

Psilovikos A, Papafilippou-Pennou E, Albanakis K, Vouvalidis K (1994). Bedload transport and deposition in the river Strymon artificial channel before its reach to the Kerkini reservoir. Bulletin of Geological Society of Greece, XXX(4): 149–155

[52]

Pulvirenti L, Chini M, Pierdicca N, Boni G (2016). Use of SAR data for detecting floodwater in urban and agricultural areas: the role of the interferometric coherence. IEEE Trans Geosci Remote Sens, 54(3): 1532–1544

[53]

Pulvirenti L, Chini M, Pierdicca N, Guerriero L, Ferrazzoli P (2011b). Flood monitoring using multitemporal COSMO-SkyMed data: image segmentation and signature interpretation. Remote Sens Environ, 115(4): 990–1002

[54]

Pulvirenti L, Pierdicca N, Chini M, Guerriero L (2011a). An algorithm for operational flood mapping from synthetic aperture radar (SAR) data using fuzzy logic. Nat Hazards Earth Syst Sci, 11(2): 529–540

[55]

Pulvirenti L, Pierdicca N, Chini M, Guerriero L (2013). Monitoring flood evolution in vegetated areas using COSMOSkyMed data: the Tuscany 2009 case study. IEEE J Sel Top Appl Earth Obs Remote Sens, 6(4): 1807–1816

[56]

Rees W G (2001). Physical Principles of Remote Sensing. Cambridge University Press

[57]

Schlaffer S, Hollaus M, Wagner W, Matgen P (2012). Flood delineation from synthetic aperture radar data with the help of a priori knowledge from historical acquisitions and digital elevation models in support of near-real-time flood mapping. In: Proceedings of SPIE- the International Society for Optical Engineering, 8538

[58]

Schubert A, Small D, Miranda N, Geudtner D, Meier E (2015). Sentinel-1A product geolocation accuracy: commissioning phase results. Remote Sens, 7(7): 9431–9449

[59]

Schultz G A, Engman E T (2000). Remote Sensing in Hydrology and Water Management. Berlin: Springer-Verlag

[60]

Schumann G, Hostache R, Puech C, Hoffmann L, Matgen P, Pappenberger F, Pfister L (2007). High-resolution 3D flood information from radar for effective flood hazard management. IEEE Trans Geosci Remote Sens, 45(6): 1715–1725

[61]

Small D, Schubert A (2008). A guide to ASAR geocoding, RSL-ASAR-GC-AD, Issue 1.0. University of Zurich

[62]

Sulaiman N H, Kamarudin M K A, Toriman M E, Juahir H, Ata F M, Azid A, Wahab N J A, Umar R, Khalit S I, Makhtar M, Arfan A, Sideng U (2017). Relationship of rainfall distribution and water level on major flood 2014 in Pahang River Basin, Malaysia. Environ Asia, 10(1): 1–8

[63]

Sun X, Xu M (2017). Optimal control of water flooding reservoir using proper orthogonal decomposition. J Comput Appl Math, 320: 120–137

[64]

Sylaios G K, Kamidis N, Tsihrintzis V A (2010). Impact of river damming on coastal stratification–mixing processes: the cases of Strymon and Nestos Rivers, N. Greece. Desalination, 250(1): 302–312

[65]

Syrides G (2000). Neogene marine cycles in Strymon basin, Macedonia, Greece. Geological Society of Greece, Special Publications in: Proceedings Interim Colloquim RCMNS, Patras, Greece, May 1988, 217–225

[66]

Torres R, Snoeij P, Geudtner D, Bibby D, Davidson M, Attema E, Potin P, Rommen B, Floury N, Brown M, Navas Traver I, Deghaye P, Duesmann B, Rosich B, Miranda N, Bruno C, L’Abbate M, Croci R, Pietropaolo A, Huchler M, Rostan F (2012). GMES Sentinel-1 mission. Remote Sens Environ, 120: 9–24

[67]

Townsend P A (2002). Relationships between forest structure and the detection of flood inundation in forested wetlands using C-band SAR. Int J Remote Sens, 23(3): 443–460

[68]

Vicente-Serrano S M, Zabalza-Martínez J, Borràs G, López-Moreno J I, Pla E, Pascual D, Savé R, Biel C, Funes I, Azorin-Molina C, Sanchez-Lorenzo A, Martín-Hernández N, Peña-Gallardo M, Alonso-González E, Tomas-Burguera M, El Kenawy A (2017). Extreme hydrological events and the influence of reservoirs in a highly regulated river basin of northeastern Spain. Journal of Hydrology: Regional Studies, 12: 13–32

[69]

Vouvalidis K (1994). Natural and anthropogenic processes that contribute to the development of the river Strymon estuary, N. Greece. Dissertation for PhD degree. Aristotle University of Thessaloniki, Faculty of Sciences, School of Geology, Department of Physical Environmental Geography, p. 192

[70]

Yousif O, Ban Y (2013). Improving urban change detection from multitemporal SAR images using PCA-NLM. IEEE Trans Geosci Remote Sens, 51(4): 2032–2041

RIGHTS & PERMISSIONS

Higher Education Press and Springer-Verlag GmbH Germany, part of Springer Nature

AI Summary AI Mindmap
PDF (12603KB)

1130

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/