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Title / link | Description | |||
Installing a FAST field work site https://youtu.be/FqkcA7-cm-M
| Overview on how the FAST team install a fieldwork site. The video includes how the deployment of the measuring equipment is done for most of the methods used for field data collection. | |||
Sedimentation erosion table method https://youtu.be/6MvGkECdEgg
| Instructions on how to measure how the sedimentation rate is changing with a sedimentation-erosion table (SET) | |||
Measuring Sediment Dynamics https://youtu.be/c0-QiQkSzsQ
| Measuring sediment dynamics has been an important tool to study foreshores for years. The NIOZ developed and perfected special sensors for long term monitoring of these dynamics. This sensor uses 200 light sensors, and uses the difference between dark and light to determine the soil elevation. By measuring this continuously for months we gain valuable insights into both the small and large scale sediment dynamics. | |||
Side-on photography for vegetation analysis-on photography for vegetation analysis https://youtu.be/Sks8T2erqOg
| Video demonstration of the use of side-on photography for vegetation analysis in salt marsh canopies. The method was originally developed for use in salt marshes by Möller (2000) and in parallel by Zehm et al. (2003) for grasslands, with further application for salt marshes reported by Möller (2006). Analysis of digital images obtained through the use of this method allows relative differences in the density, height, and structure of vegetation within a small area (in this case a rectangle of 0.2 x 0.6 m) to be compared across space or over time. Relationships between vegetation pixel density, as determined using this method, and biomass of salt marsh species have been suggested by Möller’s (2006) and Rupprecht et al.’s (2015) studies.) studies. | |||
Ground Based Spectrometry https://youtu.be/71orTF5Sedk
Ground Based Spectrometry https://youtu.be/71orTF5Sedk | A quick overview of how UCA makes ground-based spectrometry measurements to relate the reflectance properties of vegetation and sediments to satellites such as Sentinel-2. | |||
Processing Plant Biomass Samples https://youtu.be/paa5QlB0EFM
| From sampling vegetation regularly on the study sites, the FAST team may detect seasonal changes on biomass, density and surface/weight ratios for dominant plant species on the intertidal area. This video shows how to process a biomass sample from intertidal areas to estimate these plant variables. | |||
FAST project on-line flood hazard tool: How to use MI-SAFE v0.1SAFE v0.1 https://youtu.be/Kd5cjinZ5SE
| MI-SAFE is an on-line tool developed by the project. This interactive tool shows different layers of information based on satellite data and validated by field research. With the tool you can extract basic information such as the depth profile along a line or whether there are plants in an area or not. Eventually, this information is translated in the effect of the coastal areas and their plants on the height of waves inland. The first basic demo of this tool (MI-SAFE v0.1) has limited functionalities that are being expanded over the course of the project. The tool is available on-line at fast.openearth.eu | |||
MI-SAFE: Accessing products and services using the web viewer https://youtu.be/_LIAP8Ngt2A
| In this video it is explained how to use the final version of the MI-SAFE viewer and access the underlying data layers. The tool is available on-line at http://fast.openearth.eu/index.htm |
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Wave attenuation over foreshores is typically most relevant during storm conditions that create a surge (wind-induced water level set-up) in combination with high tidal levels. For the MI-SAFE viewer, a water level that has a probability of occurrence of 10%, i.e. once in 10 years, is considered to be the most relevant: this represents a storm that is both frequent enough to be relevant to users’ needs for planning coastal protection (a 1/100 or 1/1000 year condition may seem too extreme) and severe enough to be a serious threat to coastal regions. The representative water levels or hydraulic boundary conditions are derived from a global D-Flow Flexible Mesh model (Muis et al., 2016, Figure 9) that includes tides, storms and hurricanes. The output of this model is mapped to Dynamic and Interactive Vulnerability Assessment (DIVA) segments, so local anomalies can occur for coasts with irregular shapes (bays, estuaries). More extreme or locally tailored conditions are included in the Expert mode of the MI-SAFE viewer, which can take into account hydraulic boundary conditions that are specified by users -e.g. in local coastal management guidelines- or derived from dedicated modelling or field observations at the relevant location.
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