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Groundwater is the water that soaks into the ground from rain and can be stored beneath the ground. Groundwater floods occur when the water stored beneath the ground rises above the land surface. <\/SPAN><\/SPAN><\/P>

The <\/SPAN><\/SPAN>Historic Groundwater Flood Map<\/SPAN><\/SPAN> shows the observed peak flood extents caused by groundwater in Ireland. <\/SPAN><\/SPAN><\/P>

This map was made using satellite images (Copernicus Programme Sentinel-1), field data, aerial photos, as well as flood records from the past. Most of the data was collected during the flood events of winter 2015 / 2016, as in most areas this data showed the largest floods on record.<\/SPAN><\/SPAN><\/P>

This map is to the scale 1:20,000. This means it should be viewed at that scale. When printed at that scale 1cm on the map relates to a distance of 200m.<\/SPAN><\/P>

The map is a vector dataset. Vector data portray the world using points, lines, and polygons (area). The floods are shown as polygons. Each polygon has info about the type of flood, the data source, and the area of the flood.<\/SPAN><\/SPAN><\/P>

The flood extents were calculated using data and techniques with various precision levels, and as such, it may not show the true historic peak flood extents.<\/SPAN><\/SPAN><\/P>

The <\/SPAN><\/SPAN>Winter 2015/2016 Surface Water Flooding map <\/SPAN><\/SPAN>shows fluvial (rivers) and pluvial (rain) floods, excluding urban areas, during the winter 2015/2016 flood event, and was developed as a by-product of the historic groundwater flood map.<\/SPAN><\/SPAN><\/P>

This map is to the scale 1:20,000. This means it should be viewed at that scale. When printed at that scale 1cm on the map relates to a distance of 200m.<\/SPAN><\/P>

The map is a vector dataset. The floods are shown as polygons. Each polygon has info about the type of flood, the data source, and the area of the flood.<\/SPAN><\/SPAN><\/P>

The flood extents were made using remote sensing images (Copernicus Programme Sentinel-1), which covered any site in Ireland every 4-6 days. As such, it may not show the true peak flood extents.<\/SPAN><\/SPAN><\/P>

The <\/SPAN>Synthetic Aperture Radar (SAR) Seasonal Flood Maps <\/SPAN>shows observed peak flood extents which took place between Autumn 2015 and Summer 2021. <\/SPAN><\/P>

The maps were made using Synthetic Aperture Radar (SAR) images from the Copernicus Programme Sentinel-1 satellites. SAR systems emit radar pulses and record the return signal at the satellite. Flat surfaces such as water return a low signal. Based on this low signal, SAR imagery can be classified into non-flooded and flooded (i.e. flat) pixels.<\/SPAN><\/SPAN><\/P>

Flood extents were created using Python 2.7 algorithms developed by Geological Survey Ireland. They were refined using a series of post processing filters. Please read the lineage for more information.<\/SPAN><\/SPAN><\/P>

The flood maps shows flood extents which have been observed to occur. A lack of flooding in any part of the map only implies that a flood was not observed. It does not imply that a flood cannot occur in that location at present or in the future.<\/SPAN><\/SPAN><\/P>

This flood extent are to the scale 1:20,000. This means they should be viewed at that scale. When printed at that scale 1cm on the maps relates to a distance of 200m.<\/SPAN><\/P>

They are vector datasets. Vector data portray the world using points, lines, and polygons (areas). The flood extents are shown as polygons. Each polygon has information on the confidence of the flood extent (high, medium or low), a flood id and a unique id.<\/SPAN><\/SPAN><\/P>

The <\/SPAN><\/SPAN>Groundwater Flooding High Probability map<\/SPAN><\/SPAN> shows the expected flood extent of groundwater flooding in limestone regions for annual exceedance probabilities (AEP<\/SPAN><\/SPAN>\u2019<\/SPAN><\/SPAN>s) of 10%, which correspond with a return period of every 10 years. <\/SPAN><\/SPAN><\/P>

The map was created using groundwater levels measured in the field, satellite images and hydrological models.<\/SPAN><\/P>

This map is to the scale 1:20,000. This means it should be viewed at that scale. When printed at that scale 1cm on the map relates to a distance of 200m.<\/SPAN><\/P>

The map is a vector dataset. The floods are shown as polygons. Each polygon has info on the data source, and the area of the flood.<\/SPAN><\/SPAN><\/P>

The flood extents were calculated using remote sensing data and hydrological modelling techniques with various precision levels. As such, it should be used with caution.<\/SPAN><\/SPAN><\/P>

The <\/SPAN><\/SPAN>Groundwater Flooding Medium Probability map<\/SPAN><\/SPAN> shows the expected flood extent of groundwater flooding in limestone regions for annual exceedance probabilities (AEP<\/SPAN><\/SPAN>\u2019<\/SPAN><\/SPAN>s) of 1%, which correspond with a return period of every 100 years. <\/SPAN><\/SPAN><\/P>

The map was created using groundwater levels measured in the field, satellite images and hydrological models.<\/SPAN><\/P>

This map is to the scale 1:20,000. This means it should be viewed at that scale. When printed at that scale 1cm on the map relates to a distance of 200m.<\/SPAN><\/P>

The map is a vector dataset. The floods are shown as polygons. Each polygon has info on the data source, and the area of the flood.<\/SPAN><\/SPAN><\/P>

The flood extents were calculated using remote sensing data and hydrological modelling techniques with various precision levels. As such, it should be used with caution.<\/SPAN><\/SPAN><\/P>

The <\/SPAN><\/SPAN>Groundwater Flooding Low Probability map<\/SPAN><\/SPAN> shows the expected flood extent of groundwater flooding in limestone regions for annual exceedance probabilities (AEP<\/SPAN><\/SPAN>\u2019<\/SPAN><\/SPAN>s) of 0.1%, which correspond with a return period of every 1000 years.<\/SPAN><\/SPAN><\/P>

The map was created using groundwater levels measured in the field, satellite images and hydrological models.<\/SPAN><\/P>

This map is to the scale 1:20,000. This means it should be viewed at that scale. When printed at that scale 1cm on the map relates to a distance of 200m.<\/SPAN><\/P>

The map is a vector dataset. Vector data portray the world using points, lines, and polygons (area). The floods are shown as polygons. Each polygon has info on the data source, and the area of the flood.<\/SPAN><\/SPAN><\/P>

The flood extents were calculated using remote sensing data and hydrological modelling techniques with various precision levels. As such, it should be used with caution.<\/SPAN><\/P><\/DIV><\/DIV><\/DIV>", "mapName": "IE GSI Groundwater Flood Probability and Historic Flood Maps 20k Ireland (ROI) ITM", "description": "

Groundwater is the water that soaks into the ground from rain and can be stored beneath the ground. Groundwater floods occur when the water stored beneath the ground rises above the land surface. <\/SPAN><\/SPAN><\/P>

The <\/SPAN><\/SPAN>Historic Groundwater Flood Map<\/SPAN><\/SPAN> shows the observed peak flood extents caused by groundwater in Ireland. <\/SPAN><\/SPAN><\/P>

This map was made using satellite images (Copernicus Programme Sentinel-1), field data, aerial photos, as well as flood records from the past. Most of the data was collected during the flood events of winter 2015 / 2016, as in most areas this data showed the largest floods on record.<\/SPAN><\/SPAN><\/P>

This map is to the scale 1:20,000. This means it should be viewed at that scale. When printed at that scale 1cm on the map relates to a distance of 200m.<\/SPAN><\/P>

The map is a vector dataset. Vector data portray the world using points, lines, and polygons (area). The floods are shown as polygons. Each polygon has info about the type of flood, the data source, and the area of the flood.<\/SPAN><\/SPAN><\/P>

The flood extents were calculated using data and techniques with various precision levels, and as such, it may not show the true historic peak flood extents.<\/SPAN><\/SPAN><\/P>

The <\/SPAN><\/SPAN>Winter 2015/2016 Surface Water Flooding map <\/SPAN><\/SPAN>shows fluvial (rivers) and pluvial (rain) floods, excluding urban areas, during the winter 2015/2016 flood event, and was developed as a by-product of the historic groundwater flood map.<\/SPAN><\/SPAN><\/P>

This map is to the scale 1:20,000. This means it should be viewed at that scale. When printed at that scale 1cm on the map relates to a distance of 200m.<\/SPAN><\/P>

The map is a vector dataset. The floods are shown as polygons. Each polygon has info about the type of flood, the data source, and the area of the flood.<\/SPAN><\/SPAN><\/P>

The flood extents were made using remote sensing images (Copernicus Programme Sentinel-1), which covered any site in Ireland every 4-6 days. As such, it may not show the true peak flood extents.<\/SPAN><\/SPAN><\/P>

The <\/SPAN>Synthetic Aperture Radar (SAR) Seasonal Flood Maps <\/SPAN>shows observed peak flood extents which took place between Autumn 2015 and Summer 2021. <\/SPAN><\/P>

The maps were made using Synthetic Aperture Radar (SAR) images from the Copernicus Programme Sentinel-1 satellites. SAR systems emit radar pulses and record the return signal at the satellite. Flat surfaces such as water return a low signal. Based on this low signal, SAR imagery can be classified into non-flooded and flooded (i.e. flat) pixels.<\/SPAN><\/SPAN><\/P>

Flood extents were created using Python 2.7 algorithms developed by Geological Survey Ireland. They were refined using a series of post processing filters. Please read the lineage for more information.<\/SPAN><\/SPAN><\/P>

The flood maps shows flood extents which have been observed to occur. A lack of flooding in any part of the map only implies that a flood was not observed. It does not imply that a flood cannot occur in that location at present or in the future.<\/SPAN><\/SPAN><\/P>

This flood extent are to the scale 1:20,000. This means they should be viewed at that scale. When printed at that scale 1cm on the maps relates to a distance of 200m.<\/SPAN><\/P>

They are vector datasets. Vector data portray the world using points, lines, and polygons (areas). The flood extents are shown as polygons. Each polygon has information on the confidence of the flood extent (high, medium or low), a flood id and a unique id.<\/SPAN><\/SPAN><\/P>

The <\/SPAN><\/SPAN>Groundwater Flooding High Probability map<\/SPAN><\/SPAN> shows the expected flood extent of groundwater flooding in limestone regions for annual exceedance probabilities (AEP<\/SPAN><\/SPAN>\u2019<\/SPAN><\/SPAN>s) of 10%, which correspond with a return period of every 10 years. <\/SPAN><\/SPAN><\/P>

The map was created using groundwater levels measured in the field, satellite images and hydrological models.<\/SPAN><\/P>

This map is to the scale 1:20,000. This means it should be viewed at that scale. When printed at that scale 1cm on the map relates to a distance of 200m.<\/SPAN><\/P>

The map is a vector dataset. The floods are shown as polygons. Each polygon has info on the data source, and the area of the flood.<\/SPAN><\/SPAN><\/P>

The flood extents were calculated using remote sensing data and hydrological modelling techniques with various precision levels. As such, it should be used with caution.<\/SPAN><\/SPAN><\/P>

The <\/SPAN><\/SPAN>Groundwater Flooding Medium Probability map<\/SPAN><\/SPAN> shows the expected flood extent of groundwater flooding in limestone regions for annual exceedance probabilities (AEP<\/SPAN><\/SPAN>\u2019<\/SPAN><\/SPAN>s) of 1%, which correspond with a return period of every 100 years. <\/SPAN><\/SPAN><\/P>

The map was created using groundwater levels measured in the field, satellite images and hydrological models.<\/SPAN><\/P>

This map is to the scale 1:20,000. This means it should be viewed at that scale. When printed at that scale 1cm on the map relates to a distance of 200m.<\/SPAN><\/P>

The map is a vector dataset. The floods are shown as polygons. Each polygon has info on the data source, and the area of the flood.<\/SPAN><\/SPAN><\/P>

The flood extents were calculated using remote sensing data and hydrological modelling techniques with various precision levels. As such, it should be used with caution.<\/SPAN><\/SPAN><\/P>

The <\/SPAN><\/SPAN>Groundwater Flooding Low Probability map<\/SPAN><\/SPAN> shows the expected flood extent of groundwater flooding in limestone regions for annual exceedance probabilities (AEP<\/SPAN><\/SPAN>\u2019<\/SPAN><\/SPAN>s) of 0.1%, which correspond with a return period of every 1000 years.<\/SPAN><\/SPAN><\/P>

The map was created using groundwater levels measured in the field, satellite images and hydrological models.<\/SPAN><\/P>

This map is to the scale 1:20,000. This means it should be viewed at that scale. When printed at that scale 1cm on the map relates to a distance of 200m.<\/SPAN><\/P>

The map is a vector dataset. Vector data portray the world using points, lines, and polygons (area). The floods are shown as polygons. Each polygon has info on the data source, and the area of the flood.<\/SPAN><\/SPAN><\/P>

The flood extents were calculated using remote sensing data and hydrological modelling techniques with various precision levels. As such, it should be used with caution.<\/SPAN><\/P><\/DIV><\/DIV><\/DIV>", "copyrightText": "Contains Irish Public Sector Data (Geological Survey Ireland) licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 (CC BY-NC-ND 4.0) International Licence.", "supportsDynamicLayers": true, "layers": [ { "id": 0, "name": "Groundwater Flood Probability Maps [GSI]", "parentLayerId": -1, "defaultVisibility": true, "subLayerIds": [ 1, 2, 3 ], "minScale": 0, "maxScale": 10000, "type": "Group Layer", "supportsDynamicLegends": false }, { "id": 1, "name": "Groundwater Flooding High Probability [GSI]", "parentLayerId": 0, "defaultVisibility": true, "subLayerIds": null, "minScale": 0, "maxScale": 0, "type": "Feature Layer", "geometryType": "esriGeometryPolygon", "supportsDynamicLegends": true }, { "id": 2, "name": "Groundwater Flooding Medium Probability [GSI]", "parentLayerId": 0, "defaultVisibility": false, "subLayerIds": null, "minScale": 0, "maxScale": 0, "type": "Feature 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Groundwater is the water that soaks into the ground from rain and can be stored beneath the ground. Groundwater floods occur when the water stored beneath the ground rises above the land surface. <\/SPAN><\/SPAN><\/P>

The <\/SPAN><\/SPAN>Historic Groundwater Flood Map<\/SPAN><\/SPAN> shows the observed peak flood extents caused by groundwater in Ireland. <\/SPAN><\/SPAN><\/P>

This map was made using satellite images (Copernicus Programme Sentinel-1), field data, aerial photos, as well as flood records from the past. Most of the data was collected during the flood events of winter 2015 / 2016, as in most areas this data showed the largest floods on record.<\/SPAN><\/SPAN><\/P>

This map is to the scale 1:20,000. This means it should be viewed at that scale. When printed at that scale 1cm on the map relates to a distance of 200m.<\/SPAN><\/P>

The map is a vector dataset. Vector data portray the world using points, lines, and polygons (area). The floods are shown as polygons. Each polygon has info about the type of flood, the data source, and the area of the flood.<\/SPAN><\/SPAN><\/P>

The flood extents were calculated using data and techniques with various precision levels, and as such, it may not show the true historic peak flood extents.<\/SPAN><\/SPAN><\/P>

The <\/SPAN><\/SPAN>Winter 2015/2016 Surface Water Flooding map <\/SPAN><\/SPAN>shows fluvial (rivers) and pluvial (rain) floods, excluding urban areas, during the winter 2015/2016 flood event, and was developed as a by-product of the historic groundwater flood map.<\/SPAN><\/SPAN><\/P>

This map is to the scale 1:20,000. This means it should be viewed at that scale. When printed at that scale 1cm on the map relates to a distance of 200m.<\/SPAN><\/P>

The map is a vector dataset. The floods are shown as polygons. Each polygon has info about the type of flood, the data source, and the area of the flood.<\/SPAN><\/SPAN><\/P>

The flood extents were made using remote sensing images (Copernicus Programme Sentinel-1), which covered any site in Ireland every 4-6 days. As such, it may not show the true peak flood extents.<\/SPAN><\/SPAN><\/P>

The <\/SPAN>Synthetic Aperture Radar (SAR) Seasonal Flood Maps <\/SPAN>shows observed peak flood extents which took place between Autumn 2015 and Summer 2021. <\/SPAN><\/P>

The maps were made using Synthetic Aperture Radar (SAR) images from the Copernicus Programme Sentinel-1 satellites. SAR systems emit radar pulses and record the return signal at the satellite. Flat surfaces such as water return a low signal. Based on this low signal, SAR imagery can be classified into non-flooded and flooded (i.e. flat) pixels.<\/SPAN><\/SPAN><\/P>

Flood extents were created using Python 2.7 algorithms developed by Geological Survey Ireland. They were refined using a series of post processing filters. Please read the lineage for more information.<\/SPAN><\/SPAN><\/P>

The flood maps shows flood extents which have been observed to occur. A lack of flooding in any part of the map only implies that a flood was not observed. It does not imply that a flood cannot occur in that location at present or in the future.<\/SPAN><\/SPAN><\/P>

This flood extent are to the scale 1:20,000. This means they should be viewed at that scale. When printed at that scale 1cm on the maps relates to a distance of 200m.<\/SPAN><\/P>

They are vector datasets. Vector data portray the world using points, lines, and polygons (areas). The flood extents are shown as polygons. Each polygon has information on the confidence of the flood extent (high, medium or low), a flood id and a unique id.<\/SPAN><\/SPAN><\/P>

The <\/SPAN><\/SPAN>Groundwater Flooding High Probability map<\/SPAN><\/SPAN> shows the expected flood extent of groundwater flooding in limestone regions for annual exceedance probabilities (AEP<\/SPAN><\/SPAN>\u2019<\/SPAN><\/SPAN>s) of 10%, which correspond with a return period of every 10 years. <\/SPAN><\/SPAN><\/P>

The map was created using groundwater levels measured in the field, satellite images and hydrological models.<\/SPAN><\/P>

This map is to the scale 1:20,000. This means it should be viewed at that scale. When printed at that scale 1cm on the map relates to a distance of 200m.<\/SPAN><\/P>

The map is a vector dataset. The floods are shown as polygons. Each polygon has info on the data source, and the area of the flood.<\/SPAN><\/SPAN><\/P>

The flood extents were calculated using remote sensing data and hydrological modelling techniques with various precision levels. As such, it should be used with caution.<\/SPAN><\/SPAN><\/P>

The <\/SPAN><\/SPAN>Groundwater Flooding Medium Probability map<\/SPAN><\/SPAN> shows the expected flood extent of groundwater flooding in limestone regions for annual exceedance probabilities (AEP<\/SPAN><\/SPAN>\u2019<\/SPAN><\/SPAN>s) of 1%, which correspond with a return period of every 100 years. <\/SPAN><\/SPAN><\/P>

The map was created using groundwater levels measured in the field, satellite images and hydrological models.<\/SPAN><\/P>

This map is to the scale 1:20,000. This means it should be viewed at that scale. When printed at that scale 1cm on the map relates to a distance of 200m.<\/SPAN><\/P>

The map is a vector dataset. The floods are shown as polygons. Each polygon has info on the data source, and the area of the flood.<\/SPAN><\/SPAN><\/P>

The flood extents were calculated using remote sensing data and hydrological modelling techniques with various precision levels. As such, it should be used with caution.<\/SPAN><\/SPAN><\/P>

The <\/SPAN><\/SPAN>Groundwater Flooding Low Probability map<\/SPAN><\/SPAN> shows the expected flood extent of groundwater flooding in limestone regions for annual exceedance probabilities (AEP<\/SPAN><\/SPAN>\u2019<\/SPAN><\/SPAN>s) of 0.1%, which correspond with a return period of every 1000 years.<\/SPAN><\/SPAN><\/P>

The map was created using groundwater levels measured in the field, satellite images and hydrological models.<\/SPAN><\/P>

This map is to the scale 1:20,000. This means it should be viewed at that scale. When printed at that scale 1cm on the map relates to a distance of 200m.<\/SPAN><\/P>

The map is a vector dataset. Vector data portray the world using points, lines, and polygons (area). The floods are shown as polygons. Each polygon has info on the data source, and the area of the flood.<\/SPAN><\/SPAN><\/P>

The flood extents were calculated using remote sensing data and hydrological modelling techniques with various precision levels. As such, it should be used with caution.<\/SPAN><\/P><\/DIV><\/DIV><\/DIV>", "Subject": "Flood risk management is vital as it helps to reduce the damaging results of flooding events. The aim of these maps is to help users make scientifically informed decisions regarding flood risk management in Ireland. The maps do not, and are not intended to, constitute advice. Professional or specialist advice should be sought before taking, or stopping, any action on the basis of this map.", "Category": "", "AntialiasingMode": "None", "TextAntialiasingMode": "Force", "Keywords": "Geology,Ireland,IE/GSI,Flood,Groundwater,Predictive,Historic,Geological Survey Ireland,Department of the Environment,Climate and Communications,Synthetic Aperture Radar,SAR" }, "capabilities": "Query,Map,Data", "supportedQueryFormats": "JSON, geoJSON, PBF", "exportTilesAllowed": false, "referenceScale": 0.0, "supportsDatumTransformation": true, "archivingInfo": {"supportsHistoricMoment": false}, "supportsClipping": true, "supportsSpatialFilter": true, "supportsQueryDataElements": true, "maxRecordCount": 2000, "maxImageHeight": 4096, "maxImageWidth": 4096, "supportedExtensions": "WMSServer", "serviceItemId": "b67e2f3699d248a2ab90c0b0c880c180" }