The contribution of spaceborne SAR and optical data in monitoring flood events: examples in northern and southern France

Tholey, N.; Clandillon, Stephen; Fraipont, P. De

doi:10.1002/(sici)1099-1085(199708)11:10<1409::aid-hyp531>3.0.co;2-v

Cited by 54 publications

(26 citation statements)

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“…Hess et al 1995, Tholey et al 1997, Brakenridge et al 1998, Townsend and Walsh 1998, Bourgeau-Chavez et al 2001, Townsend 2002, Wang 2002, Ahtonen et al 2005, Dey et al 2008, Mason et al 2009, Ramsey et al 2009, Schumann et al 2009, Bwangoy et al 2010. Typically, during-event SAR images and pre-event optical images are fused to produce a flood inundation map.…”

Section: Fusion Of Sar and Optical Images To Map Flood Inundationmentioning

confidence: 99%

Radar image and data fusion for natural hazards characterisation

Lü

Dzurisin

Jung

et al. 2010

International Journal of Image and Data Fusion

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Section: Fusion Of Sar and Optical Images To Map Flood Inundationmentioning

confidence: 99%

Radar image and data fusion for natural hazards characterisation

Lü

Dzurisin

Jung

et al. 2010

International Journal of Image and Data Fusion

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“…We use active and passive as well as spaceborne and airborne sensors to provide a large database for specific flood-related problems. Depending on the particular spatial resolution and recurrent period, different flood-related parameters ranging from global to regional or even local scales can be derived (Schultz, 1994;Tholey et al, 1997).…”

Section: Data Setsmentioning

confidence: 99%

Flood risks in urbanized areas – multi-sensoral approaches using remotely sensed data for risk assessment

Taubenböck

Wurm

Netzband

et al. 2011

Nat. Hazards Earth Syst. Sci.

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Abstract.Estimating flood risks and managing disasters combines knowledge in climatology, meteorology, hydrology, hydraulic engineering, statistics, planning and geography -thus a complex multi-faceted problem. This study focuses on the capabilities of multi-source remote sensing data to support decision-making before, during and after a flood event. With our focus on urbanized areas, sample methods and applications show multi-scale products from the hazard and vulnerability perspective of the risk framework. From the hazard side, we present capabilities with which to assess flood-prone areas before an expected disaster. Then we map the spatial impact during or after a flood and finally, we analyze damage grades after a flood disaster. From the vulnerability side, we monitor urbanization over time on an urban footprint level, classify urban structures on an individual building level, assess building stability and quantify probably affected people. The results show a large database for sustainable development and for developing mitigation strategies, ad-hoc coordination of relief measures and organizing rehabilitation.

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“…Floods lead to the hindrance of transportation, bring with them pollution and disease, lead to the destruction of infrastructure, and more people lose their lives due to floods than due to any other natural hazard [1][2][3]. It is widely accepted that synthetic aperture radar (SAR) data is a suitable choice for the mapping and monitoring of flooded areas [4][5][6][7][8] as it allows for observations even during heavy cloud cover (typical during rainy seasons). Leinenkugel et al.…”

mentioning

confidence: 99%

Varying Scale and Capability of Envisat ASAR-WSM, TerraSAR-X Scansar and TerraSAR-X Stripmap Data to Assess Urban Flood Situations: A Case Study of the Mekong Delta in Can Tho Province

et al. 2013

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Earth Observation is a powerful tool for the detection of floods. Microwave sensors are typically favored as they deliver data enabling water detection independent of solar illumination or cloud cover conditions. However, scale issues play an important role in radar based flood mapping. Depending on the flood related phenomenon under investigation, some sensors might be more suitable than others. In this study, we elucidate flood mapping at different spatial scale investigating the capability of Envisat ASAR Wide Swath Mode data at 150 m spatial resolution, as well as TerraSAR-X Scansar and Stripmap data at 8.25 m and 2.5 m resolution to especially assess urban flooding. For this purpose, we evaluate the results of automated multi-temporal water extraction from data sources of different scale against other parameters, such as settlement density, also taking a highly accurate building layer digitized from Quickbird data into consideration. Results reveal that while Envisat ASAR WSM derived flood maps are suitable to support the understanding of general flood patterns in a larger region, high resolution data of sensors OPEN ACCESSRemote Sens. 2013, 5 5123 such as TerraSAR-X is needed to truly assess urban flooding. However, even radar data of high spatial resolution still shows limitations; mainly in regions with a dense accumulation of corner reflectors leading to effects of layover, foreshortening, and shadowing, and hence the "over radiation" of flood affected areas.

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The contribution of spaceborne SAR and optical data in monitoring flood events: examples in northern and southern France

Cited by 54 publications

References 1 publication

Radar image and data fusion for natural hazards characterisation

Radar image and data fusion for natural hazards characterisation

Flood risks in urbanized areas – multi-sensoral approaches using remotely sensed data for risk assessment

Varying Scale and Capability of Envisat ASAR-WSM, TerraSAR-X Scansar and TerraSAR-X Stripmap Data to Assess Urban Flood Situations: A Case Study of the Mekong Delta in Can Tho Province

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