Affected Land Cover - Revision history

Admin at 12:18, 10 March 2021

2021-03-10T12:18:57Z

Admin at 12:16, 10 March 2021

2021-03-10T12:16:05Z

Admin at 10:50, 12 November 2020

2020-11-12T10:50:02Z

Admin at 10:49, 12 November 2020

2020-11-12T10:49:38Z

Admin: Created page with " [Home] - [back to GFMS Products] ---- In addition to the affected population, we suggest to include information about the '''Affected Land Cover''' (..."

2020-11-12T10:48:25Z

Created page with " [Home] - [back to GFMS Products] ---- In addition to the affected population, we suggest to include information about the '''Affected Land Cover''' (..."

New page

[[GFMS | [Home]]] - [[PRODUCTS | [back to GFMS Products]]]
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In addition to the affected population, we suggest to include information about the '''Affected Land Cover''' (LC) for a particular flood case. 
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. 
Based on our 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. 
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%. 
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. 
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.

[[File:figure13.jpg]]

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[[GFMS | [Home]]] - [[PRODUCTS | [back to GFMS Products]]]

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 In addition to the affected population, we suggest to include information about the '''Affected Land Cover''' for a particular flood case. <br>
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 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.
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-[[GFMS | [Home]]] - [[PRODUCTS | [back to GFMS Products]]]
+[[GFMS | [Home]]] - [[PRODUCTS | [back to GFM Products]]]

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 In addition to the affected population, we suggest to include 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 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>
+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>

@@ Line 1: / Line 1: @@
 [[GFMS | [Home]]] - [[PRODUCTS | [back to GFMS Products]]]
 ----
-In addition to the affected population, we suggest to include information about the '''Affected Land Cover''' (LC) for a particular flood case. <br>
+In addition to the affected population, we suggest to include 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 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>
+Based on our land cover 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>