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To acquire these data for a queried location (point), the tool first determines a transect perpendicular to the nearest coastline. This transect runs 1000 m inland of MSL and 1000 m seaward; the area of interest where most wave attenuation occurs. If relevant vegetation is encountered along this transect, the upper indicator on the left of the screen turns green; if not, red. The properties encountered along this transect are used to find the nearest match in a table that contains wave attenuation results for many thousands of combinations of conditions. The wave attenuation thus obtained is compared to the wave attenuation over a similar but bare transect. If the difference is considerable, i.e. more than the average in this dataset, the lower green indicator turns green too. If the difference is small, the lower indicator displays a red cross.

Surge levels used for the MI-SAFE Expert

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tool (Jasper, perhaps you can still use some of text below?)

Wave attenuation over foreshores is typically most relevant during storm conditions that create a surge (water level set-up). For the tool, a water level that occurs once in 10 years was considered to be the most relevant: This represents a storm that both occurs often enough to appeal to the user (a 1/100 or 1/1000 condtion may seem too extreme) and is high enough to be a serious threat to coastal regions. The surge levels are derived from a global surge model (Muis et al., 2016). More extreme or tailored conditions can be studied using the more advanced versions of the MI-SAFE tool.

Wave conditions used for the MI-SAFE Expert tool

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(Iris/Kees, perhaps you can still use some of text below?)

For waves, a similar reasoning as for surge was followed, leading to the selection of a 1 in 10 year wave height and period. These representative waves are derived from the ERA-interim 40-year reanalysis (ECWMF, 2014).

Schematisation of vegetation types for the MI-SAFE Expert tool (Iris, perhaps you can still use some of text below?).

The MI-SAFE tool needs to function without (yet) having the detailed vegetation properties that are to be determined from EO data. Therefore, vegetation types are derived from existing maps such as the Corine Land Cover (CLC) 2012 and Globcover maps and the characteristics of these vegetation types are based on measurements published in (grey) literature. This document aims to describe how the relevant vegetation types are parameterized in terms of size, density and drag factor for the numerical model that computes the wave attenuation caused by vegetation (XBeach). The basic vegetation

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The wave model: XBeach (Jasper, perhaps you can still use some of this text below?)

In order to quantify wave attenuation by vegetation for a given salt marsh coastline (see example in Figure XX), the numerical modeling software XBeach (van Rooien et al. 2016) was used. Xbeach is a depth-averaged, two-dimensional process-based model that solves the time dependent short wave action balance for the entire wave group. XBeach has three processes that occur on a short wave scale that are able to be incorporated in simulations: dissipation due to wave breaking, dissipation due to bottom friction, and dissipation due to vegetation. 

The viewer (Gerrit, Amrit, Arjen, Ed, perhaps you can still use some of this text below?)

The viewer is build up of 3 main parts; the canvas where the maps are shown, the data part where a selection of layers can be toggled on or of and the results. The results part enables users to draw a profile of the coast. Via OGC services (a WPS in this case) data is extracted over the profile. This data is then classified for certain characteristics, such as elevation, water levels, wave charateristics and vegetation presence and type. This data is then used to query the table of model results. The result is shown  indicating whether or not vegetation is existent and or contributes to wave attenuation. 

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