Description: <DIV STYLE="text-align:Left;font-size:12pt"><DIV><DIV><P><SPAN>Seascape character types are distinct areas that are relatively homogenous in character. They are generic in nature in that they may occur in different areas but share broadly similar combinations of geology, ecology, bathymetry, human influences and perceptual and aesthetic attributes. SCTs provide a framework for analysing seascape change since many influences and pressures affect seascapes with similar character in similar ways. Seascape Charater Types were extracted from the OSI 1:250,000 coastline dataset. GIS and visual analysis combined with field work determined the individual seascape character types. Predominant datasets used were bathymetry, topography, geology, coastal land use and wave climate. Analysis and mapping used QGIS v3.8 Regional Seascapes Character Assessment (2020) project was carried out by Minogue and Associates on behalf of the Marine Institute.</SPAN></P><P><SPAN /></P><P><SPAN STYLE="font-weight:bold;text-decoration:underline;">Downloads:</SPAN></P><P><A href="https://atlas.marine.ie/midata/Heritage/SeascapesCharacterType_shape.zip" STYLE="text-decoration:underline;"><SPAN>Shapefile</SPAN></A></P><P><A href="https://atlas.marine.ie/midata/Heritage/SeascapesCharacterType_csv.zip" STYLE="text-decoration:underline;"><SPAN>CSV</SPAN></A></P><P><A href="https://atlas.marine.ie/midata/Heritage/SeascapesCharacterType_kmz.zip" STYLE="text-decoration:underline;"><SPAN>KML</SPAN></A></P></DIV></DIV></DIV>
Value: Complex indented small peninsulas, low cliffs and small sandy beaches Label: Complex indented small peninsulas, low cliffs and small sandy beaches Description: N/A Symbol:
Value: Large Limestone Bay - with low-lying/undulating hinterland & coastal wetlands Label: Large Limestone Bay - with low-lying/undulating hinterland & coastal wetlands Description: N/A Symbol:
Description: <DIV STYLE="text-align:Left;font-size:12pt"><P><SPAN>Visual Resource Mapping was carried for the Seascapes Character Assessment (2020) project to produce this dataset Sea Surface Visibility from Land (SSVL). Sea Surface Visibility from Land (SSVL) data considers sea surface locations (500 m grid cell size) and how frequent sea surface locations are visible from land. A grid of observation points at 500 m intervals placed on land, extending 20 km inland from the coastline, are used to represent theoretical viewers who can visually observe the sea. Height elevation of observation points is based on Copernicus EU-DEM v1.1 data, to which an observer viewing height value of 2 m (i.e. height of a 2 m tall human) is added, such that each observation point is calculated at HEIGHT ELEVATION + 2 METRES. A maximum viewing distance of 35 km is used. The visibility analysis assigns each offshore raster grid cell a value corresponding to the number (count) of observation points on land that each cell in the sea can ‘see’. Grid cells in the sea area (coastline to 35 km offshore) with high values can see and be seen by many observation points on land (2 m tall viewers) and are therefore more ‘visible’ to viewers on land. Visual Resource Mapping conducted using methodology outlined in National Seascape Assessment for Wales LUC Report (Natural Resources Wales 2015) and Seascape Assessment for the South Marine Plan Areas (MMO 2014). Regional Seascapes Character Assessment (2020) project was carried out by Minogue and Associates on behalf of the Marine Institute. </SPAN></P></DIV>
Description: <DIV STYLE="text-align:Left;font-size:12pt"><P><SPAN>Visual Resource Mapping was carried for the Seascapes Character Assessment (2020) project to produce this dataset Land with Sea Views (LWSV). Land with Sea Views (LWSV) data considers land surface locations (500 m grid cell size), and how visible a point on land is from the sea. A grid of observation points at 500 m intervals, extending 35 km offshore from the coastline, are used to represent theoretical viewers who can visually observe the land from the sea. Height elevation of land surface locations are based on Copernicus EU-DEM v1.1 data, to which a visibility height value of 2 m (i.e. height of a 2 m tall human) is added, such that each onshore cell is calculated at HEIGHT ELEVATION + 2 METRES. A maximum viewing distance of 35 km is used. The visibility analysis assigns each land raster grid a value based on the number of offshore observation points that are visible to it. Grid cells on the land surface (coastline to 20 km inland) with high values can see and be seen by many observation points on the sea and have a higher visibility of the sea. Visual Resource Mapping conducted using methodology outlined in National Seascape Assessment for Wales LUC Report (Natural Resources Wales 2015) and Seascape Assessment for the South Marine Plan Areas (MMO 2014). Regional Seascapes Character Assessment (2020) project was carried out by Minogue and Associates on behalf of the Marine Institute</SPAN></P></DIV>
Description: <DIV STYLE="text-align:Left;font-size:12pt"><DIV><DIV><P><SPAN>Seascape is defined as an area of sea, coastline or land, as perceived by people, whose character results from actions and interactions of land with sea by natural and/or human factors. GIS datsets from varying disciplines were gathered and analysed - bathymetry, geology, habitats, archaeology, conservation designations, fisheries, energy – among others. Seascape Character Assessment boundaries were determined using a 1 Km inland buffer of the Osi 1:250,000 coastline. This was merged with the Maritime Boundary Irish Territorial Sea to 12 nm. Additional limits were applied using the Irish Exclusive Economic Zone Maritime Boundary and the outer boundaries of the Northern Ireland Seascape Character Assessment (DAERA). GIS and visual analysis combined with field work determined the individual seascape character areas. A baseline regional scale of 1:500,000 was used during analysis but final areas vary in scale from 1:100,000 to 1:800,000 owing to local variations and nuances of seascape character. Analysis and mapping used QGIS v3.8 Regional Seascapes Character Assessment (2020) project was carried out by Minogue and Associates on behalf of the Marine Institute.</SPAN></P><P><SPAN /></P><P><SPAN STYLE="font-weight:bold;text-decoration:underline;">Downloads:</SPAN></P><P><SPAN /><A href="https://atlas.marine.ie/midata/Heritage/SeascapesCharacterArea_shape.zip" STYLE="text-decoration:underline;"><SPAN>Shapefile</SPAN></A></P><P><A href="https://atlas.marine.ie/midata/Heritage/SeascapesCharacterArea_csv.zip" STYLE="text-decoration:underline;"><SPAN>CSV</SPAN></A></P><P><A href="https://atlas.marine.ie/midata/Heritage/SeascapesCharacterArea_kmz.zip" STYLE="text-decoration:underline;"><SPAN>KML</SPAN></A></P></DIV></DIV></DIV>