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  • NDVI Cadiz Bay, Spain Map based on L3A RapidEye data, image 26 May 2015,top of atmosphere radiance converted to surface reflectance and atmospheric correction using 6SThis is an unvalidated product for demo purposes only! For more information, please see EU FAST Internal Deliverable 3.8 (Example Geospatial products)

  • This is a reclassified product presenting a thematic subset of the European CORINE Land Cover (CLC) classes from CLC2012 within a 100 m grid for coastal situations. Corine Land Cover products are available in both raster (100 and 250 meter resolution), and vector (ESRI and SQLite geodatabase). The Minimum Mapping Unit (MMU) for the CLC is 25 hectares for areal phenomena and 100 meter for linear phenomena. The time series (1990, 2000, 2006 and 2012) are complemented by change layers, which highlight changes in land cover with an MMU of 5 ha. If you are interested in changes between two surveys always use the CLC-Change layer, as this has a higher resolution than the status layer. Results can be filtered by using the search box. Original file from http://land.copernicus.eu/pan-european/corine-land-cover/clc-2012

  • LIDAR Composite Digital Terrain Model (DTM) downloaded from environment.data.gov.uk, styled and converted into WMS/WCS for use in the FAST expert version.

  • A Sentinel-2 image was atmospherically corrected using Sen2Cor in SNAP 4, and then used to extract Leaf Area Index (LAI), with the proviso that NDVI is larger than 0.3 to include marsh only. Dike line was used to mask any area outside of the intertidal and subtidal zone. Coordinate system: WGS_84_UTM. Attribution: This product is developed by NIOZ for EU FAST project (Foreshore Assessment Using Space Technology). Contains modified Copernicus Sentinel data (2015/2016). See also https://sentinel.esa.int/documents/247904/690755/Sentinel_Data_Legal_Notice

  • A Copernicus Sentinel-2 image was atmospherically corrected using Sen2Cor in SNAP 4, and then used to extract NDVI. Dike line was used to mask any area outside of the intertidal and subtidal zone. Coordinate system: WGS_84_UTM. Attribution: This product is developed by NIOZ for EU FAST project (Foreshore Assessment Using Space Technology). Contains modified Copernicus Sentinel data (2015/2016). See also https://sentinel.esa.int/documents/247904/690755/Sentinel_Data_Legal_Notice

  • Extreme sea levels (tide + storm surge) with respect to MSL derived from the model used by Muis et al 2016. The displayed values are values corresponding to returnperiod of 10 years Legend Green dots = small ( < 1 m-MSL) Orange dots=medium (1 - 2 m-MSL) Red dots = large ( > 2 m-MSL)

  • NDVI Paulinapolder Map based on L3A RapidEye data, image 05 June 2015, top of atmosphere radiance converted to surface reflectance and atmospheric correction using 6S This is an unvalidated product for demo purposes only! For more information, please see EU FAST Internal Deliverable 3.8 (Example Geospatial products)

  • This dataset contains bathymetry (depth) products from the compilation of all available source bathymetry data within the Great Barrier Reef into a 30 m-resolution Digital Elevation Model (DEM). The Great Barrier Reef (GBR) is the largest coral reef ecosystem on Earth and stretches over 2500 km along the north-eastern Australia margin. Bathymetry mapping of this extensive reef system is vital for the protection of the GBR allowing for the safe navigation of shipping and improved environmental management. Over the past ten years, deep-water multibeam surveys have revealed the highly complex shelf-edge drowned reefs and continental slope canyons. Airborne LiDAR bathymetry acquired by the Australian Hydrographic Service cover most of the GBR reefs, with coverage gaps supplemented by satellite derived bathymetry. The Geoscience Australia-developed Intertidal Elevation Model DEM improves the source data gap along Australia’s vast intertidal zone. All source bathymetry data were extensively edited as point clouds to remove noise, given a consistent WGS84 horizontal datum, and where possible, an approximate MSL vertical datum.

  • ERA-Interim is a global atmospheric reanalysis from 1979, continuously updated in real time. The data assimilation system used to produce ERA-Interim is based on a 2006 release of the IFS (Cy31r2). The system includes a 4-dimensional variational analysis (4D-Var) with a 12-hour analysis window. The spatial resolution of the data set is approximately 80 km (T255 spectral) on 60 vertical levels from the surface up to 0.1 hPa. Reference Muis, S., Verlaan, M., Winsemius, H. C., Aerts, J. C. J. H., & Ward, P. J. (2016). A global reanalysis of storm surges and extreme sea levels. Nature Communications, 7, 11969. doi:10.1038/ncomms11969 The displayed values are values corresponding to returnperiod of 10 years Legend Green dots = low waves (wave height < 2 m) Orange dots=moderate waves (wave heigth 2 - 8 m) Red dots = high waves (wave height > 8 m)

  • Global Digital Elevation Model