Résumé
Cette étude traite la problématique de détection de l’étendu des inondations causées par des crues subites à la suite de fortes pluies pluviales et le transport des sédiments causant le débordement des eaux de l’oued sur la crête du barrage de Sakia El Hamra, entraînant l’ouverture de deux brèches dans le corps du barrage. La zone d’étude se trouve dans le sud du Maroc dans la région de Laayoune—Sakia el Hamra spécialement la ville de Laayoune. La géomorphologie de la zone et la formation du réseau de drainage provoquent la création d’inondations rapides qui ont eu lieu du 27 au 28 octobre 2016 suite à des précipitations intenses et fortes qui se sont déversées sur la région. Sept images satellitaires Radar et optiques d’avant et d’après cet événement ont été traité pour extraire les informations les plus utiles. Pour atteindre nos objectifs, cette étude a débuté par le prétraitement du radar (calibrage, filtrage du speckle, correction du terrain doppler) et de l’optique (correction atmosphérique, étalonnage de la dérive radiométrique du capteur et correction des distorsions géométriques et topographiques). Quatre indices spectraux ont été extraits, suivis d’une détection de changement sur des images diachroniques multispectrales à partir de trois images sentinel-2 MSI et deux images Landsat-8 OLI acquises avant et après l’évènement. Les indices spectraux Normalized Difference Water Index “NDWI”, Normalized Difference Moisture Index “NDMI”, Normalized Difference Drought Index “NMDI” et l’Albedo “Al” fournissent un espace spectrale bidimensionnel formé par (Albedo, NDMI) qui donne un très bon pouvoir de discrimination permettant de suivre l’évolution spatio-temporel des différents niveaux d’humidité du sol dans la zone après les inondations. L’application des méthodes de coregistration et de segmentation sur les images Radar Sentinel-1 avant et après l’évènement complète ce travail. Les résultats obtenus montrent l’importance de la complémentarité de l’imagerie multi capteurs pour la cartographie dynamique des inondations.
Abstract
This study investigates the problem of detecting the extent of inundation caused by flash floods following heavy rainfall and the transport of sediments that cause the overflow of waters of the wadi on the crest of the Sakia El Hamra dam, the opening of two breaches in the body of the dam. The study area is focusing on Laayoune city in Southern Morocco in the region of Laayoune-Sakia el Hamra. The geomorphology of the area and the formation of the drainage network caused the creation of flash floods which took place from October 27 to 28, 2016, following intense and heavy rain in the region. Seven satellite images (radar and optical) taken before and after this event were processed to extract the most useful information. To achieve our objectives, this study began by preprocessing the radar images (calibration, speckle filtering, Doppler ground correction) and optics images (atmospheric correction, calibration of the radiometric and correction of geometric and topographic distortions). In this study, four spectral indices were extracted, then the change of detection approach is used on multispectral diachronic images from three MSI Sentinel-2 images and two Landsat-8 OLI imageries of before and after the disaster event. Normalized Difference Water Index “NDWI,” Normalized Difference Moisture Index “NDMI,” Normalized Multi-band Drought Index “NMDI” and Albedo “Al” provide a two-dimensional spectral feature space resulted which gives a very good power of discrimination to monitor the spatiotemporal evolution of the different levels of soil moisture in the area after the floods. The application of the coregistration and segmentation methods on radar Sentinel-1 images before and after the event completes this work. The results obtained show the importance of the complementarity multisensor imagery for the dynamic mapping of floods.
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References
Floodsafety Website (2018) Floods Hazards definition. www.floodsafety.noaa.gov
Javelle P, Demargne J, Defrance D, Pensu J, Arnaud P (2014) Evaluation flash-flood warning at ungauged locations using post-event surveys; a case study with the AIGA warning system. Hydrol Sci J
Sanyal J, Lu XX (2004) Application of Remote sensing in flood management with special reference to monsoon Asia: a review. Nat Hazards 33:283–301
Parcharidis I, Lagios E, Psomiadis E (2001) Multitemporal hazard assessment in a high flash flood risk area using RS/GIS techniques: the case study of Hymittos Mt. (Athens) 9th international congress of the geological society of Greece, 5, 2055–2062
Psomiadis E (2017) Flash flood Area mapping utilising sentinel-1 radar data, earth resources and environmental remote sensing/GIS applications VII. In: Michel U, Schulz K, Ehlers M, Nikolakopoulos KG, Civco D (eds) Proceeding of SPIE vol 10005, 100051G
Rao GS, Brinda V, Manju Sree P, Bhanumurthy V (2006) Advantage of multi-polarized SAR data for flood extent delineation. Proc SPIE 6410:64100Z
Vilches JP (2013) Detection of areas affected by flooding river using SAR images seminar: master in space applications for emergency early warning and response, p 40
Brakenridge GR (2017) Global active archive of large flood events. University of Colorado, Dartmouth Flood Observatory
Wang Y (2002) Mapping extent of floods: what we have learned and how we can do better. Natural Hazards Review
Schumann G, Matgen P, Hoffmann L, Hostache R, Pappenberger F, Pfister L (2007) Deriving distributed roughness values from satellite radar data for flood inundation modelling. J Hydrol 344(1–2):96–111
Clement MA, Kilby CG, Moore P (2017) Multi-temporal synthetic aperture radar flood mapping using change detection. J Flood Risk Manag
Voigt S, Martinis S, Zwenzner H, Hahmann T, Twele A, Schneiderhan T (2008) Extraction of flood masks using satellite based very high-resolution SAR data for flood management and modeling. In: 4th international symposium on flood defense managing flood risk reliability and vulnerability, vol 27, pp 1–8
Ramsey E III, Rangoonwala A, Bannister T (2013) Coastal flood inundation monitoring with satellite C-band and L-band synthetic aperture radar data. J Am Water Resour Assoc 49(6):1239–1260
Zeng Y, Xiang N, Feng Z, Hu H (2006) Albedo-NDVI space and remote sensing synthesis index models for desertification monitoring. Sci Geogr Sin 01:75–81
Moussa R (2003) On morphometric properties of basins, scale effects and hydrological response. Hydrol Process 17:33–58
Schlaffer S, Matgen S, Hollaus M, Wagner W (2015) Flood detection from multitemporal SAR data using harmonic analysis and change detection. Int J Appl Earth Obs Geoinformation
Vrieling A (2007) Mapping erosion from space. Ph.D. Thesis Wageningen University, Germany, ISBN 978-90-8504-587-8
Irons JR, Weismiller RA, Petersen GW (1989) Soil Reflectance. In: Asrar G (ed) Theory and applications of optical remote sensing. Wiley Inc., New York, pp 66–106
Lastra J, Fernandez E, Diez-Herrero A, Marquinez J (2008) Flood hazard delineation combining geomorphological and hydrological methods: an example in the Northern Iberian Peninsula. Nat Hazards 45(2):277–293
Rajah P, Odindi J, Mutanga O (2018) Feature level image fusion of optical imagery and synthetic aperture radar (SAR) for invasive alien plant species detection and mapping. Remote Sens Appl: Soc Environ.
Bannari A, Ozbakir BA, Langlois A (2007) Spatial distribution mapping of vegetation cover in urban environment using TDVI for quality of life monitoring. international geosciences and remote sensing symposium, Barcelona, Spain, 23–28 July 2007, pp 679–682
Becerril-Pina R, Mastachi-Loza CA, Gonzalez-Sosa E, Diaz-Delgado C, Bâ KM (2015) Assessing desertification risk in the semi-arid highlands of central Mexico. J Arid Environ
Lobell D, Asner G (2002) Moisture effects on soil reflectance. Soil Sci Am J 66:722–727
Bannari A, Kadhem G, El-Battay A, Hameid NA, Rouai M (2016) Assessment of land erosion and sediment accumulation caused by runoff after a flash flooding storm using topographic profiles and spectral indices. Adv Remote Sens 2016(5):315–354
Nguemhe Fils SC, Mimba ME, Dzana JG Etouna J, Mounoumeck PV, Hakdaoui M (2017) TM/ETM +/LDCM images for studying land surface temperature (LST) interplay with impervious surfaces changes over time within the Douala Metropolis, Cameroon. J Indian Soc Remote Sens
Townsend PA (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
Dobos E (2003) Albedo Encyclopedia of Soil Science, Second Edition Rattan Lal CRC Press print ISBN: 978-0-8493-3830-4 eBook ISBN: 978-1-4398-7062-4
Matgen P, Hostache R, Schumann G, Pfister L, Hoffmann L, Savenije HHG (2011) Towards an automated SAR- based flood monitoring system: lessons learned from two case studies. Phys Chem Earth 36(7–8):241–252
Chen C, Peihua X, Yihong W, Jianping C, Lianjing Z, Cencen N (2016) Flash flood hazard susceptibility mapping using frequency ratio and statistical index methods in coal mine subsidence areas. Sustainability 2016, 8, 948; https://doi.org/10.3390/su8090948
Xiao L (1999) Flash floods in arid and semi-arid zones. IHP-V 1 technical documents in hydrology 1 No. 23, UNESCO, Paris
Xiao X, Boles S, Frolking S, Salas W, Moore B, Li C, He L, Zhao R (2002) Observation of flooding and rice transplanting of paddy rice fields at the site to landscape scales in china using VEGETATION sensor data. Int J Remote Sens 23:3009–3022
Xu H (2006) Modification of normalised difference water index (NDWI) to enhance open water features in remotely sensed imagery. Int J Remote Sens 27:3025–3033
Crist EP (1985) A TM tasseled cap equivalent transformation for reflectance factor data. Remote Sens Environ 17(3):301–306
Chen CF, Valdez MC, Chang NB, Chang LY, Yuan PY (2014) Monitoring spatiotemporal surface soil moisture variations during dry seasons in central america with multisensor cascade data fusion. IEEE J Sel Top Appl Earth Obs Remote Sens 7:4340–4355
Fisher A, Flood N, Danaher T (2016) Comparing landsat water index methods for automated water classification in eastern Australia. Remote Sens Environ
Wang L, Qu JJ (2007) NMDI: a normalized multi-band drought index for monitoring soil and vegetation moisture with satellite remote sensing. Remote Sens Environ 34:1–5
Hostache R, Matgen P, Wagner W (2012) Change detection approaches for flood extent mapping: how to select the most adequate reference image from online archives? Int J Appl Earth Obs Geoinf 19(1):205–213
Schott JR, Salvanggio C, Volchok WJ (1988) Radiometric scene normalization using pseudo invariant features. Remote Sens Environ 26:1–16
Verstraete MM, Pinty B (1996) Designing optimal spectral indexes for remote sensing applications. Remote Sens Environ 34(5):1254–1265
Zongyi M, Yaowen X, Jizong J, Linlin L, Xiangqian W (2011) The construction and application of an albedo-NDVI based desertification monitoring model. Procedia Environ Sci 10:2029–2035
Mardiana S, Ahmad A, Kadir O (2000) Capability of radarsat data in monsoon flood monitoring. Proc GIS Dev (2000)
Martinez J-M, Le Toan T (2007) Mapping of flood dynamics and spatial distribution of vegetation in the Amazon floodplain using multitemporal SAR data. Remote Sens Environ 108(3):209–223
Wang Y, Hess LL, Filoso S, Melack JM (1994) Canopy penetration studies: modeled radar backscatter from Amazon floodplain forests at C-, L-, and P-band. Proc Int Geosci Remote Sens Sympos II:1060–1062
Jüssi M (2015) Synthetic aperture radar based flood mapping in the alam-pedja nature reserve in years 2005–2011. Master thesis in Geoinformatics and Cartography, University of Tartu, Faculty of Science and Technology, Institute of Ecology and Earth Sciences, Department of Geography, pp 1–41
Pultz TJ, Crevier Y, Brown RJ, Boisvert J (1997) Monitoring of local environmental conditions with SIR-C/XSAR. Remote Sens Environ 59(4):248–255
Martinis S (2010) Automatic near real-time flood detection in high resolution X-band synthetic aperture radar satellite data using context-based classification on irregular graphs. Dissertation, LMU München: Faculty of Geosciences
Wegmüller U, Strozzi T (1999) Validation of ERS differential sar interferometry for land subsidence mapping: the bologna case study, Proceeding IGARSS’ 99
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The authors would like to thank the University Mohammed V of Rabat and CRASTE-LF for their logistic support. We would like to thank the NASA-GLOVIS-GATE for the OLI and the MSI data.
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Hakdaoui, S., Emran, A. (2020). Extraction of Water Information Based on SAR Radar and Optical Image Processing: Case of Flood Disaster in Southern Morocco. In: Jarar Oulidi, H., Fadil, A., Semane, N. (eds) Geospatial Technology. Advances in Science, Technology & Innovation. Springer, Cham. https://doi.org/10.1007/978-3-030-24974-8_2
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