Difference between revisions of "Affected Land Cover"
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| − | In addition to the affected population, we suggest to include information about the '''Affected Land Cover''' | + | 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> | 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 (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 [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> | 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. | 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]] | + | [[File:figure13.jpg|centre|border]] |
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| − | [[GFMS | [Home]]] - [[PRODUCTS | [back to | + | [[GFMS | [Home]]] - [[PRODUCTS | [back to GFM Products]]] |
Latest revision as of 12:18, 10 March 2021
[Home] - [back to GFM Products]
In addition to the affected population, we suggest to include information about the Affected Land Cover 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 land cover (LC) production heritage and experience, we propose the 100 m resolution LC from the 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 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 OpenStreetMap (OSM) (e.g., roads, railways, etc.) in order to allow a first assessment of affected areas and infrastructure.
