AndreaBozzo/ceres-open-data-index huggingface dataset:
Modelled fluvial flood depth and climate change depth difference data created 2004: 0.1  percent annual chance for grid reference SK

The depth difference dataset (2004) is a depth grid showing the difference between modelled fluvial flood depths and modelled fluvial flood depths under climate change conditions (an increase in peak flows of 20%). 

Modelled fluvial flood depth and climate change depth difference data* was created for both the 0.1% annual chance of flooding situations and was produced as a by-product from the 2004 generalised modelling project. The purpose of the generalised modelling project was to fill the gaps where there was no detailed local modelled data in 2004, in order to define the extents of Flood Zones for spatial planning.

A two-dimensional hydrodynamic model called JFlow was used to produce both the modelled fluvial flood depth and modelled fluvial flood depth with climate change data. This depth difference data, using these 2 datasets, is provided on a 5x5m grid.

Since 2004, some local detailed modelling projects have included scenarios for climate change however this depth difference dataset has not been updated.

INFORMATION WARNING: This data is not suitable for identifying whether an individual property will flood due to climate change, for detailed decision making or for use in site specific Flood Risk or Strategic Flood Risk Assessments. Where this data is used further evidence, verification and studies should be undertaken. Climate change allowances have changed since this work was completed in 2004.

More recent, accurate and local detailed modelling depth data with climate change is available for some places. Please contact your local Environment Agency office to see if detailed modelling is available for your area of interest. 

This metadata record is for Approval for Access product AfA480 2004 1 in 1000 Fluvial Depth Grid Climate Change Difference

Modelled fluvial flood depth data with climate change are available for the whole of England, however this data is for the 100x100km squared Ordnance Survey National Grid reference SK. If you are interested in data for another grid reference refer to this Ordnance Survey National Grid document to find the relevant referencing code and search on Data.gov.uk again to download the data. Attribution statement: © Environment Agency copyright and/or database right 2016. All rights reserved. Some features of this information are based on digital spatial data licensed from the Centre for Ecology & Hydrology © NERC (CEH). Defra, Met Office and DARD Rivers Agency © Crown Copyright. © Cranfield University. © James Hutton Institute.  Contains OS data © Crown copyright and database right 2015. Land & Property Services © Crown copyright and database right.

Tags: environment, flood, flooding, risk assessment
Organization: Environment Agency
1848-1859 OS CS 2nd Ed

<div style='text-align:left;'><p style='font-size:12pt;'>The primary objective from this project was to acquire historical shoreline information for all of the Northern Ireland coastline. Having this detailed understanding of the coast’s shoreline position and geometry over annual to decadal time periods is essential in any management of the coast.</p><div style='text-align:left;'><p style='font-size:12pt;'>The
historical shoreline analysis was based on all available Ordnance Survey maps
and aerial imagery information. Analysis looked at position and geometry over
annual to decadal time periods, providing a dynamic picture of how the
coastline has changed since the start of the early 1800s.<br /></p><div style='text-align:left;'><p><span style='font-size:12pt;'>Once
all datasets were collated, data was interrogated using the ArcGIS package –
Digital Shoreline Analysis System (DSAS). DSAS is a software package which
enables a user to calculate rate-of</span><font size='3'>-change s</font><span style='font-size:12pt;'>tatistics from multiple historical
shoreline positions. Rate-of-change was collected at 25m intervals and
displayed both statistically and spatially allowing for areas of
retreat/accretion to be identified at any given stretch of coastline.</span><br /></p><p><span style='font-size:16px;'>The DSAS software will produce the following rate-of-change statistics:</span></p><p></p><ol><li><span style='font-size:16px;'>Net Shoreline Movement (NSM) – the distance between the oldest and the youngest shorelines.</span></li><li>Shoreline Change Envelope (SCE) – a measure of the total change in shoreline movement considering all available shoreline positions and reporting their distances, without reference to their specific dates.</li><li>End Point Rate (EPR) – derived by dividing the distance of shoreline movement by the time elapsed between the oldest and the youngest shoreline positions.</li><li>Linear Regression Rate (LRR) – determines a rate of change statistic by fitting a least square regression to all shorelines at specific transects.</li><li>Weighted Linear Regression Rate (WLR) - calculates a weighted linear regression of shoreline change on each transect. It considers the shoreline uncertainty giving more emphasis on shorelines with a smaller error.</li></ol><p></p><p><span style='font-size:16px;'>The end product provided by Ulster University is an invaluable tool and digital asset that has helped to visualise shoreline change and assess approximate rates of historical change at any given coastal stretch on the Northern Ireland coast.</span></p></div></div></div>

Tags: 3D, Analysis, Coastal, Historic, Ireland, Marine, Northern, Observatory, Rates, Shoreline change, Shorelines, Survey
Organization: OpenDataNI
1974 OS 27 10K

<div style='text-align:left;'><p style='font-size:12pt;'>The primary objective from this project was to acquire historical shoreline information for all of the Northern Ireland coastline. Having this detailed understanding of the coast’s shoreline position and geometry over annual to decadal time periods is essential in any management of the coast.</p><div style='text-align:left;'><p style='font-size:12pt;'>The
historical shoreline analysis was based on all available Ordnance Survey maps
and aerial imagery information. Analysis looked at position and geometry over
annual to decadal time periods, providing a dynamic picture of how the
coastline has changed since the start of the early 1800s.<br /></p><div style='text-align:left;'><p><span style='font-size:12pt;'>Once
all datasets were collated, data was interrogated using the ArcGIS package –
Digital Shoreline Analysis System (DSAS). DSAS is a software package which
enables a user to calculate rate-of</span><font size='3'>-change s</font><span style='font-size:12pt;'>tatistics from multiple historical
shoreline positions. Rate-of-change was collected at 25m intervals and
displayed both statistically and spatially allowing for areas of
retreat/accretion to be identified at any given stretch of coastline.</span><br /></p><p><span style='font-size:16px;'>The DSAS software will produce the following rate-of-change statistics:</span></p><p></p><ol><li><span style='font-size:16px;'>Net Shoreline Movement (NSM) – the distance between the oldest and the youngest shorelines.</span></li><li>Shoreline Change Envelope (SCE) – a measure of the total change in shoreline movement considering all available shoreline positions and reporting their distances, without reference to their specific dates.</li><li>End Point Rate (EPR) – derived by dividing the distance of shoreline movement by the time elapsed between the oldest and the youngest shoreline positions.</li><li>Linear Regression Rate (LRR) – determines a rate of change statistic by fitting a least square regression to all shorelines at specific transects.</li><li>Weighted Linear Regression Rate (WLR) - calculates a weighted linear regression of shoreline change on each transect. It considers the shoreline uncertainty giving more emphasis on shorelines with a smaller error.</li></ol><p></p><p><span style='font-size:16px;'>The end product provided by Ulster University is an invaluable tool and digital asset that has helped to visualise shoreline change and assess approximate rates of historical change at any given coastal stretch on the Northern Ireland coast.</span></p></div></div></div>

Tags: 3D, Analysis, Coastal, Historic, Ireland, Marine, Northern, Observatory, Rates, Shoreline change, Shorelines, Survey
Organization: OpenDataNI
1963 AP

<div style='text-align:left;'><p style='font-size:12pt;'>The primary objective from this project was to acquire historical shoreline information for all of the Northern Ireland coastline. Having this detailed understanding of the coast’s shoreline position and geometry over annual to decadal time periods is essential in any management of the coast.</p><div style='text-align:left;'><p style='font-size:12pt;'>The
historical shoreline analysis was based on all available Ordnance Survey maps
and aerial imagery information. Analysis looked at position and geometry over
annual to decadal time periods, providing a dynamic picture of how the
coastline has changed since the start of the early 1800s.<br /></p><div style='text-align:left;'><p><span style='font-size:12pt;'>Once
all datasets were collated, data was interrogated using the ArcGIS package –
Digital Shoreline Analysis System (DSAS). DSAS is a software package which
enables a user to calculate rate-of</span><font size='3'>-change s</font><span style='font-size:12pt;'>tatistics from multiple historical
shoreline positions. Rate-of-change was collected at 25m intervals and
displayed both statistically and spatially allowing for areas of
retreat/accretion to be identified at any given stretch of coastline.</span><br /></p><p><span style='font-size:16px;'>The DSAS software will produce the following rate-of-change statistics:</span></p><p></p><ol><li><span style='font-size:16px;'>Net Shoreline Movement (NSM) – the distance between the oldest and the youngest shorelines.</span></li><li>Shoreline Change Envelope (SCE) – a measure of the total change in shoreline movement considering all available shoreline positions and reporting their distances, without reference to their specific dates.</li><li>End Point Rate (EPR) – derived by dividing the distance of shoreline movement by the time elapsed between the oldest and the youngest shoreline positions.</li><li>Linear Regression Rate (LRR) – determines a rate of change statistic by fitting a least square regression to all shorelines at specific transects.</li><li>Weighted Linear Regression Rate (WLR) - calculates a weighted linear regression of shoreline change on each transect. It considers the shoreline uncertainty giving more emphasis on shorelines with a smaller error.</li></ol><p></p><p><span style='font-size:16px;'>The end product provided by Ulster University is an invaluable tool and digital asset that has helped to visualise shoreline change and assess approximate rates of historical change at any given coastal stretch on the Northern Ireland coast.</span></p></div></div></div>

Tags: 3D, Analysis, Coastal, Historic, Ireland, Marine, Northern, Observatory, Rates, Shoreline change, Shorelines, Survey
Organization: OpenDataNI
Farm Census District Electoral Area 2015

<div style='text-align:Left;'><p><b>About this layer</b></p><p>The data covers all farm business in Northern Ireland. Data is collected directly from farm business through a survey and supplemented with administrative data from the Animal and Public Health Information System (APHIS).</p><p>Information is available on the Number of Farms, Number of Less favourable Area (LFA) Farms, Number of Non LFA Farms, Area Farmed (ha), Crops (ha), Grass (ha), Number of Cattle, Number of Sheep, Number of Pigs, Number of Poultry, Number of Farmers, Number of self Employed, Number of Spouses, Number of Other Workers, Total Labour on Farms, Number of v.small/small/medium/large farms.</p><p>The farm census statistics have been collected since 1847 and historical data are available on the DAERA website. The statistics are used by a wide variety of internal and external stakeholders to understand the nature of farming in Northern Ireland.</p><p><b>What can you do with the layer?</b></p></div><div style='text-align:Left;'><p><b>Visualisation</b>: This layer can be used for visualisation online in web maps and in ArcGIS Pro.</p></div><div style='text-align:Left;'><p><b>Analysis</b>: This layer can be used in dashboards.</p></div><div style='text-align:Left;'><p><b>Download</b>: The data is downloadable.</p></div>

Tags: Cattle, Census, DEA, District Electoral Area, Farm, Farm size, Farm type, NI, Northern Ireland, Pigs, Poultry, Statistics, UK, United Kingdom
Organization: OpenDataNI
1997 AP

<div style='text-align:left;'><p style='font-size:12pt;'>The primary objective from this project was to acquire historical shoreline information for all of the Northern Ireland coastline. Having this detailed understanding of the coast’s shoreline position and geometry over annual to decadal time periods is essential in any management of the coast.</p><div style='text-align:left;'><p style='font-size:12pt;'>The
historical shoreline analysis was based on all available Ordnance Survey maps
and aerial imagery information. Analysis looked at position and geometry over
annual to decadal time periods, providing a dynamic picture of how the
coastline has changed since the start of the early 1800s.<br /></p><div style='text-align:left;'><p><span style='font-size:12pt;'>Once
all datasets were collated, data was interrogated using the ArcGIS package –
Digital Shoreline Analysis System (DSAS). DSAS is a software package which
enables a user to calculate rate-of</span><font size='3'>-change s</font><span style='font-size:12pt;'>tatistics from multiple historical
shoreline positions. Rate-of-change was collected at 25m intervals and
displayed both statistically and spatially allowing for areas of
retreat/accretion to be identified at any given stretch of coastline.</span><br /></p><p><span style='font-size:16px;'>The DSAS software will produce the following rate-of-change statistics:</span></p><p></p><ol><li><span style='font-size:16px;'>Net Shoreline Movement (NSM) – the distance between the oldest and the youngest shorelines.</span></li><li>Shoreline Change Envelope (SCE) – a measure of the total change in shoreline movement considering all available shoreline positions and reporting their distances, without reference to their specific dates.</li><li>End Point Rate (EPR) – derived by dividing the distance of shoreline movement by the time elapsed between the oldest and the youngest shoreline positions.</li><li>Linear Regression Rate (LRR) – determines a rate of change statistic by fitting a least square regression to all shorelines at specific transects.</li><li>Weighted Linear Regression Rate (WLR) - calculates a weighted linear regression of shoreline change on each transect. It considers the shoreline uncertainty giving more emphasis on shorelines with a smaller error.</li></ol><p></p><p><span style='font-size:16px;'>The end product provided by Ulster University is an invaluable tool and digital asset that has helped to visualise shoreline change and assess approximate rates of historical change at any given coastal stretch on the Northern Ireland coast.</span></p></div></div></div>

Tags: 3D, Analysis, Coastal, Historic, Ireland, Marine, Northern, Observatory, Rates, Shoreline change, Shorelines, Survey
Organization: OpenDataNI
2007 Ortho OSNI

<div style='text-align:left;'><p style='font-size:12pt;'>The primary objective from this project was to acquire historical shoreline information for all of the Northern Ireland coastline. Having this detailed understanding of the coast’s shoreline position and geometry over annual to decadal time periods is essential in any management of the coast.</p><div style='text-align:left;'><p style='font-size:12pt;'>The
historical shoreline analysis was based on all available Ordnance Survey maps
and aerial imagery information. Analysis looked at position and geometry over
annual to decadal time periods, providing a dynamic picture of how the
coastline has changed since the start of the early 1800s.<br /></p><div style='text-align:left;'><p><span style='font-size:12pt;'>Once
all datasets were collated, data was interrogated using the ArcGIS package –
Digital Shoreline Analysis System (DSAS). DSAS is a software package which
enables a user to calculate rate-of</span><font size='3'>-change s</font><span style='font-size:12pt;'>tatistics from multiple historical
shoreline positions. Rate-of-change was collected at 25m intervals and
displayed both statistically and spatially allowing for areas of
retreat/accretion to be identified at any given stretch of coastline.</span><br /></p><p><span style='font-size:16px;'>The DSAS software will produce the following rate-of-change statistics:</span></p><p></p><ol><li><span style='font-size:16px;'>Net Shoreline Movement (NSM) – the distance between the oldest and the youngest shorelines.</span></li><li>Shoreline Change Envelope (SCE) – a measure of the total change in shoreline movement considering all available shoreline positions and reporting their distances, without reference to their specific dates.</li><li>End Point Rate (EPR) – derived by dividing the distance of shoreline movement by the time elapsed between the oldest and the youngest shoreline positions.</li><li>Linear Regression Rate (LRR) – determines a rate of change statistic by fitting a least square regression to all shorelines at specific transects.</li><li>Weighted Linear Regression Rate (WLR) - calculates a weighted linear regression of shoreline change on each transect. It considers the shoreline uncertainty giving more emphasis on shorelines with a smaller error.</li></ol><p></p><p><span style='font-size:16px;'>The end product provided by Ulster University is an invaluable tool and digital asset that has helped to visualise shoreline change and assess approximate rates of historical change at any given coastal stretch on the Northern Ireland coast.</span></p></div></div></div>

Tags: 3D, Analysis, Coastal, Historic, Ireland, Marine, Northern, Observatory, Rates, Shoreline change, Shorelines, Survey
Organization: OpenDataNI
Moyola Network Contribution

<div style='text-align:Left;'><div><div><p style='font-weight:bold;'><span><span>About this layer</span></span></p><p><span>Network contribution area scores were exported from the SciMAP application outputs within SAGA GIS. The scores were based on inputs from CEH Land cover 2007, Met Office average rainfall and 5 meter DTM. The High contribution category boundary was determined by selecting +1 standard deviation of the distribution of the scores.</span></p><p style='font-weight:bold;'><span>What can you do with the layer?</span></p><p style='margin:1 1 1 20;'><span style='font-weight:bold;'>Visualisation: </span><span><span>This layer can be used for visualisation online in web maps.</span></span></p><p style='margin:1 1 1 20;'><span style='font-weight:bold;'><span>Analysis: </span></span><span><span>This layer can be used in dashboards.</span></span></p><p style='margin:1 1 1 20;'><span style='font-weight:bold;'><span>Download:</span></span><span> The data is downloadable.</span></p></div></div></div>

Tags: High Network Contribution, NI, Northern Ireland, Rivers, Surface Flow, Surface Water Connectivity, UK, United Kingdom
Organization: OpenDataNI
Footprint

<div style='text-align:Left; font-size:12pt;'><p>Orthophotography is aerial imagery that has been geometrically corrected. An orthophoto is an image that is free of distortion, and which is characterised by a uniform scale over its entire surface - it has been ortho-rectified. </p><div>Orthophotography was captured as part of the 2021 NI 3D Coastal Survey. Coverage extends across the entire Northern Ireland coastline, including the intertidal area, and extending approximately 200 meters landward of the high water mark. </div><div><br /></div><div>Colour Infrared <span style='font-size:15px;'>orthophotography </span>imagery was captured with a 10cm resolution. </div></div>

Tags: 3D, Coastal, Marine, Observatory, Ortho, Orthophotography, Survey
Organization: OpenDataNI
2021 NI 3D Coastal Survey - Topographic LiDAR - Digital Terrain Model

<div style='text-align:Left; font-size:12pt;'><p>In 2021, a complete airborne LiDAR survey of the Northern Ireland coastline was commissioned as part of the NI 3D Coastal Survey, providing precise and accurate data of the current coastal morphology.</p><div style='text-align:Left; font-size:12pt;'><p>The survey included the intertidal area and extended approximately 200 meters landward of the high-water mark.</p><div style='text-align:Left; font-size:12pt;'><p>This is the Digital Terrain Model derived from the LiDAR data collected.<br /></p></div></div></div>

Tags: 3D, Coastal, DTM, Digital Terrain Model, Ireland, Marine, Northern, Observatory, Survey, Terrain
Organization: OpenDataNI
2008 Ortho OSNI

<div style='text-align:left;'><p style='font-size:12pt;'>The primary objective from this project was to acquire historical shoreline information for all of the Northern Ireland coastline. Having this detailed understanding of the coast’s shoreline position and geometry over annual to decadal time periods is essential in any management of the coast.</p><div style='text-align:left;'><p style='font-size:12pt;'>The
historical shoreline analysis was based on all available Ordnance Survey maps
and aerial imagery information. Analysis looked at position and geometry over
annual to decadal time periods, providing a dynamic picture of how the
coastline has changed since the start of the early 1800s.<br /></p><div style='text-align:left;'><p><span style='font-size:12pt;'>Once
all datasets were collated, data was interrogated using the ArcGIS package –
Digital Shoreline Analysis System (DSAS). DSAS is a software package which
enables a user to calculate rate-of</span><font size='3'>-change s</font><span style='font-size:12pt;'>tatistics from multiple historical
shoreline positions. Rate-of-change was collected at 25m intervals and
displayed both statistically and spatially allowing for areas of
retreat/accretion to be identified at any given stretch of coastline.</span><br /></p><p><span style='font-size:16px;'>The DSAS software will produce the following rate-of-change statistics:</span></p><p></p><ol><li><span style='font-size:16px;'>Net Shoreline Movement (NSM) – the distance between the oldest and the youngest shorelines.</span></li><li>Shoreline Change Envelope (SCE) – a measure of the total change in shoreline movement considering all available shoreline positions and reporting their distances, without reference to their specific dates.</li><li>End Point Rate (EPR) – derived by dividing the distance of shoreline movement by the time elapsed between the oldest and the youngest shoreline positions.</li><li>Linear Regression Rate (LRR) – determines a rate of change statistic by fitting a least square regression to all shorelines at specific transects.</li><li>Weighted Linear Regression Rate (WLR) - calculates a weighted linear regression of shoreline change on each transect. It considers the shoreline uncertainty giving more emphasis on shorelines with a smaller error.</li></ol><p></p><p><span style='font-size:16px;'>The end product provided by Ulster University is an invaluable tool and digital asset that has helped to visualise shoreline change and assess approximate rates of historical change at any given coastal stretch on the Northern Ireland coast.</span></p></div></div></div>

Tags: 3D, Analysis, Coastal, Historic, Ireland, Marine, Northern, Observatory, Rates, Shoreline change, Shorelines, Survey
Organization: OpenDataNI