View source for Affected Landcover (eng)

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{| class="wikitable"
|-
|style="background-color: orange;" |Layer name
|style="background-color: orange;"|Affected Landcover(GFM)
|-
|Tag
|Flood
|-
|Folder
|Eo Satellite
|-
|Source
|[https://extwiki.eodc.eu/GFM/PUM/Products/Affected-Landcover GFM Products]
|-
|Description
| In addition to the affected population, we suggest including information about the '''Affected Land Cover''' for a particular flood case. <br> 
This information can provide a first assessment of affected land cover or land use types, e.g., how much agricultural area is affected by the flood extent. <br> 
Based on our land cover (LC) production heritage and experience, we propose the 100 m resolution LC from the [https://land.copernicus.eu/global/products/lc Copernicus Global Land Cover Service] enriched with information from the Copernicus Pan-European High-Resolution Layers (i.e., Imperviousness, Forests, Grassland, Water & Wetness) over Europe. <br> 
The [https://land.copernicus.eu/global/products/lcCopernicus Global Land Service] includes 23 classes and provides annual updates, the overall accuracy of this dataset is 80%. <br>
The Copernicus High-Resolution Layers have an overall accuracy of 85%+ and are available at 20 m (the 2018 version at 10 m) spatial resolution. <br>
In addition to both datasets, we will also include the most relevant classes from [https://www.openstreetmap.org/ OpenStreetMap (OSM)] (e.g., roads, railways, etc.) in order to allow a first assessment of affected areas and infrastructure.

|-
|Screenshot
|[[File:GFMAFLAN.png|centre|border]]
|-
|style="background-color: grey;"| Properties
|style="background-color: grey;"|  
|-
|Available variables
|rough water surface
|-
|Available accumulations
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|Available interpolation algorithms
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|Available filters
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|Spatial aggregations
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|}


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