A critical review of the CoastView project: Recent and future developments in coastal management video systems

Koningsveld, M. van; Davidson, Mark; Huntley, David A.; Medina, Raúl; Aarninkhof, S.G.J.; Jiménez, José A.; Ridgewell, Justin; Kruif, Arno de

doi:10.1016/j.coastaleng.2007.01.006

Cited by 18 publications

(9 citation statements)

References 19 publications

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“…The numerical simulations provide daily forecasts of the hydrodynamic conditions and morphological change at the study area and are processed by an additional module following the approach described in Ciavola et al (2011a). The methodology is based on specific Storm Impact Indicators (SIIs) (Van Koningsveld et al 2007), with warnings issued when pre-defined threshold values are exceeded. As a result, the early-warning system can predict storm-induced hazard and provide decision support for the coastal authorities in the event of an extreme storm.…”

Section: Extensions To Operational Storm Impact Forecastingmentioning

confidence: 99%

Toward reliable storm-hazard forecasts: XBeach calibration and its potential application in an operational early-warning system

et al. 2012

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The study aims to calibrate/validate and apply the dune-erosion model, XBeach, in order to predict morphological response to storm events along a meso-tidal, steeply sloping beach. More than 10,000 XBeach calibration runs, including different model parameters and erosion events, were compared with measurements of beach-profile response to storm conditions. Off-shore wave and tidal measurements were used as input for a SWAN wave model, which was used to provide wave conditions to XBeach. The results indicate that using XBeach to predict beachprofile morphodynamic response during storm events on steeply sloping intermediate-to-reflective beaches may be more demanding than for dissipative beaches and that the default model setup can overestimate dune/beach-face erosion. The performance of the model after calibration was satisfactory, with Brier Skill Scores from 0.2 to 0.72. XBeach was found to be more sensitive to input parameters such as the beach-face slope and the surf similarity parameter ξ (especially for values ξ>0.6). The calibrated XBeach setup was used for simulations of storm scenarios with different return periods (5, 25, and 50 years), and the simulations highlighted the fragility of the dune field and the potential for storm-induced dune retreat, lowering, and overwash in the study area. Finally, the nested SWAN/ XBeach models were forced by an existing operational wave-forecast WAVEWATCH-III/SWAN model, operated by the Portuguese Hydrographic Institute to generate daily forecasts of storm impact and serve as a prototype-case for an early warning system for storm hazard mitigation.

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Section: Extensions To Operational Storm Impact Forecastingmentioning

confidence: 99%

Toward reliable storm-hazard forecasts: XBeach calibration and its potential application in an operational early-warning system

et al. 2012

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“…For instance, researchers have used video images to extract beach and nearshore bathymetry (Stockdon and Holman, 2000;Aarninkhof et al, 2003), the nearshore hydrodynamics (Chickadel et al, 2003), as well as to unravel the formation and displacement of sand bars (Lippman and Holman, 1989;Ojeda, 2008;Ruessink et al, 2000) or the beachface morphodynamics (Almar et al, 2008;Ortega-Sánchez et al, 2007). The capabilities and functionality of video-based costal monitoring systems are evolving rapidly; more so with the CoastView project that highlighted and standardized the possibilities and future trends of these systems for coastal zone or navigational channels management Turner and Anderson, 2007;Koningsveld et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

An open source, low cost video‐based coastal monitoring system

Nieto

Garau

Balle

et al. 2010

Earth Surf Processes Landf

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A low cost, automated, remote monitoring video system built on standard commercial off-the-shelf (COTS) components and implemented with open source software is presented. The system has been implemented in a coastal area to perform image acquisition and processing, generating statistical products and transferring the information from the fi eld to a central node where post-processing and data visualization are made available to the general public. The open structure of the software allows the user to implement new routines and modules appropriate to fi t specifi c needs as well as to adapt the system to study other dynamical processes where continuous observation is required. The software and image data base can be obtained as freeware.

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“…The coastlines detected by multi-temporal satellite imagery have been well verified by a number of studies using topographic, nautical, water level surveys, and near-ground photography [18,19]. Remote sensing video systems are another tool for coastline change detection used by some researchers [20][21][22][23]. Airborne Lidar is suggested for improved detection and monitoring of coastlines [24][25][26][27].…”

Section: Introductionmentioning

confidence: 99%

Developing Superfine Water Index (SWI) for Global Water Cover Mapping Using MODIS Data

et al. 2015

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Abstract:Monitoring of water cover and shorelines at a global scale is essential for better understanding climate change consequences and modern human disturbances. The level and turbidity of the surface water, and the background objects in which they interact with, vary significantly at a global scale. The existing water indices applicable to detection and extraction of water cover at local and regional scales cannot work efficiently everywhere in the globe. In this research, a new water index called Superfine Water Index (SWI) was developed for robust detection and discrimination of the surface water at a global scale using MODIS based multispectral data. The SWI was designed in such a way that it provides high contrast between the water and non-water areas. Achieving high contrast is vital for discriminating the surface water mixed with a variety of objects. The sensitivity analysis of the SWI demonstrated its high sensitivity to the surface water compared to the existing water indices. One single-layered global mosaic of a 90-percentile SWI image was used as a master image for global water cover mapping by reducing the large volume of MODIS data available between 2012 and 2014 globally. The random walker algorithm was applied in the SWI image with the support of reference training data for the extraction and mapping of water cover. This research produced an up-to-date global water cover map of the year 2013. OPEN ACCESSRemote Sens. 2015, 7 13808The performance of a new map was evaluated with a number of case studies and compared with existing maps. The supremacy of the SWI over the existing water indices, and high performance of the SWI based water map confirmed the reliability of the new water mapping methodology developed. We expect that this methodology can contribute to seasonal and annual change analysis of the global water cover as well.

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A critical review of the CoastView project: Recent and future developments in coastal management video systems

Cited by 18 publications

References 19 publications

Toward reliable storm-hazard forecasts: XBeach calibration and its potential application in an operational early-warning system

Toward reliable storm-hazard forecasts: XBeach calibration and its potential application in an operational early-warning system

An open source, low cost video‐based coastal monitoring system

Developing Superfine Water Index (SWI) for Global Water Cover Mapping Using MODIS Data

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