20250814
11552500
1.0
TRUE
<p style='background-color:rgb(255, 255, 255); color:rgb(76, 76, 76); font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; margin:0px 0px 1.5rem; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'><span style='font-family:inherit;'>The NI Land classification was developed using the Merlewood method of multivariate land classification. This involved selecting a sample of 700 1km grid squares, representing 5% of NI land area. For each of these squares, attributes on climate, elevation & topography, vegetation, hydrology, settlement, geology, and soils were recorded from maps. Using TWINSPAN, this data was used to produce a land classification hierarchy, yielding 23 land classes for N.Ireland. This was then used to classify all remaining 1km grid squares in N. Ireland. In total, 14,377 1km grid squares were assigned to one of the 23 land classes.</span></p><p style='background-color:rgb(255, 255, 255); color:rgb(76, 76, 76); font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; margin:0px 0px 1.5rem; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>For detailed information on the methodology and descriptions of each of the land classes see, <a style='color:rgb(0, 97, 155); font-family:inherit; text-decoration-line:none;' target='_blank' href='https://www.daera-ni.gov.uk/sites/default/files/publications/daera/Land%20Classification%20report%20edited.pdf' rel='nofollow ugc noopener noreferrer'>Land Classification report edited.pdf</a></p><p style='background-color:rgb(255, 255, 255); color:rgb(76, 76, 76); font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; margin:0px 0px 1.5rem; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>A brief description of the Land Classification Groups identified in the dataset are listed below, for more detail see the report above. <br /> </p><figure style='width:1327pt;'><figure><figure><table style='background-color:rgb(255, 255, 255); border-collapse:collapse; border-spacing:0px; border:1px solid rgb(204, 204, 204); color:rgb(76, 76, 76); font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:0.875rem; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; margin-bottom:1.5rem; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-transform:none; word-spacing:0px;' width='1770' cellpadding='0' cellspacing='0' border='0'><tbody><tr style='border-bottom:1px solid rgb(204, 204, 204); height:14.4pt;' height='19'><td style='border-left:1px solid rgb(204, 204, 204); border-right:1px solid rgb(204, 204, 204); height:14.4pt; padding:0.5rem; width:48pt;' height='19' width='64'><strong>Group</strong></td><td style='border-left-style:none; border-right:1px solid rgb(204, 204, 204); padding:0.5rem; width:110pt;' width='147'><strong>Land Class Group</strong></td><td style='border-left-style:none; border-right:1px solid rgb(204, 204, 204); padding:0.5rem; width:167pt;' width='223'><strong>Geographic Location</strong></td><td style='border-left-style:none; border-right:1px solid rgb(204, 204, 204); padding:0.5rem; width:128pt;' width='170'><strong>Climate</strong></td><td style='border-left-style:none; border-right:1px solid rgb(204, 204, 204); padding:0.5rem; width:217pt;' width='290'><strong>Elevation, topography and hydrology</strong></td><td style='border-left-style:none; border-right:1px solid rgb(204, 204, 204); padding:0.5rem; width:361pt;' width='482'><strong>Settlement</strong></td><td style='border-left-style:none; border-right:1px solid rgb(204, 204, 204); padding:0.5rem; width:186pt;' width='248'><strong>Geology</strong></td><td style='border-left-style:none; border-right:1px solid rgb(204, 204, 204); padding:0.5rem; width:110pt;' width='146'><strong>Soils</strong></td></tr><tr style='border-bottom:1px solid rgb(204, 204, 204); height:129.6pt;' height='173'><td style='border-left:1px solid rgb(204, 204, 204); border-right:1px solid rgb(204, 204, 204); border-top-style:none; height:129.6pt; padding:0.5rem;' height='173'>1</td><td style='border-left-style:none; border-right:1px solid rgb(204, 204, 204); border-top-style:none; padding:0.5rem;'>1, 2, 3, 4</td><td style='border-left-style:none; border-right:1px solid rgb(204, 204, 204); border-top-style:none; padding:0.5rem; width:167pt;' width='223'>Mainly South-East, Co. Armagh and Co. Down.<br />Also present in Co. Fermanagh between Upper Lough Erne and Lough Macnean.<br />Land class 1 is coastal, Strangford Lough and the Co. Down coast.</td><td style='border-left-style:none; border-right:1px solid rgb(204, 204, 204); border-top-style:none; padding:0.5rem; width:128pt;' width='170'>Sleet/snow, low.<br />January temperature, moderate – high.<br />July temperature, moderate – high.</td><td style='border-left-style:none; border-right:1px solid rgb(204, 204, 204); border-top-style:none; padding:0.5rem; width:217pt;' width='290'>Lowland.<br />Elevation 0-500 ft (0-152 m).<br />Flat, undulating and drumlin landscape.<br />River and stream network.<br />Source of river/stream.</td><td style='border-left-style:none; border-right:1px solid rgb(204, 204, 204); border-top-style:none; padding:0.5rem; width:361pt;' width='482'>Developed road network (all types).<br />Urban land.<br />Intermediate number of buildings.</td><td style='border-left-style:none; border-right:1px solid rgb(204, 204, 204); border-top-style:none; padding:0.5rem; width:186pt;' width='248'>Ordovician/Silurian shales and greywackes.<br />Basic igneous.<br />Mixed limestone, shale and sandstone.<br />Sandstones and conglomerates. </td><td style='border-left-style:none; border-right:1px solid rgb(204, 204, 204); border-top-style:none; padding:0.5rem; width:110pt;' width='146'>Acid brown earths.<br />Gleys</td></tr><tr style='border-bottom:1px solid rgb(204, 204, 204); height:115.2pt;' height='154'><td style='border-left:1px solid rgb(204, 204, 204); border-right:1px solid rgb(204, 204, 204); border-top-style:none; height:115.2pt; padding:0.5rem;' height='154'>2</td><td style='border-left-style:none; border-right:1px solid rgb(204, 204, 204); border-top-style:none; padding:0.5rem;'>5</td><td style='border-left-style:none; border-right:1px solid rgb(204, 204, 204); border-top-style:none; padding:0.5rem; width:167pt;' width='223'>Mainly South-West, Co. Fermanagh.<br />Lakeland, in particular Lough Erne but also Lough Neagh.<br />North Co. Derry coast, in particular Magilligan.<br />River Foyle.</td><td style='border-left-style:none; border-right:1px solid rgb(204, 204, 204); border-top-style:none; padding:0.5rem; width:128pt;' width='170'>Sleet/snow, low – moderate.<br />January temperature, moderate – high.<br />July temperature, low – moderate.</td><td style='border-left-style:none; border-right:1px solid rgb(204, 204, 204); border-top-style:none; padding:0.5rem; width:217pt;' width='290'>Lowland.<br />Elevation, 0-500 ft (0 – 152 m).<br />Flat undulating landscape.<br />Stream and river network.<br />Inland water bodies.</td><td style='border-left-style:none; border-right:1px solid rgb(204, 204, 204); border-top-style:none; padding:0.5rem; width:361pt;' width='482'>Developed road network (all types).<br />Moderately low number of buildings.</td><td style='border-left-style:none; border-right:1px solid rgb(204, 204, 204); border-top-style:none; padding:0.5rem; width:186pt;' width='248'>Mixed limestone, shale and sandstone.<br />Limestones (other than Precambrian).<br />Sandstones and conglomerates.</td><td style='border-left-style:none; border-right:1px solid rgb(204, 204, 204); border-top-style:none; padding:0.5rem; width:110pt;' width='146'>Gleys.<br />Brown/grey podzolics.</td></tr><tr style='border-bottom:1px solid rgb(204, 204, 204); height:201.6pt;' height='269'><td style='border-left:1px solid rgb(204, 204, 204); border-right:1px solid rgb(204, 204, 204); border-top-style:none; height:201.6pt; padding:0.5rem;' height='269'>3</td><td style='border-left-style:none; border-right:1px solid rgb(204, 204, 204); border-top-style:none; padding:0.5rem;'>6,7,8 </td><td style='border-left-style:none; border-right:1px solid rgb(204, 204, 204); border-top-style:none; padding:0.5rem; width:167pt;' width='223'>Adjacent to west side of Antrim plateau and Belfast Hills.<br />West of Mourne Mountains and Slieve Croob.<br />Adjacent of Sperrins and North Derry Mountains.<br />Lowland, Co. Tyrone and east Co. Fermanagh.<br />Land class 6 is more characteristic of the South-West, land class 7 the South and land class 8 the North. </td><td style='border-left-style:none; border-right:1px solid rgb(204, 204, 204); border-top-style:none; padding:0.5rem; width:128pt;' width='170'>Sleet/snow, moderate – high.<br />January temperature, low – moderate.<br />July temperature, low – moderate.</td><td style='border-left-style:none; border-right:1px solid rgb(204, 204, 204); border-top-style:none; padding:0.5rem; width:217pt;' width='290'>Lowland.<br />Elevation, 200-500 ft (62-152 m).<br />Flat and undulating landscape and drumlin bottoms.<br />River and stream network.<br />Source of river/stream. </td><td style='border-left-style:none; border-right:1px solid rgb(204, 204, 204); border-top-style:none; padding:0.5rem; width:361pt;' width='482'>Developed road network (all types).<br />Intermediate number of buildings. </td><td style='border-left-style:none; border-right:1px solid rgb(204, 204, 204); border-top-style:none; padding:0.5rem; width:186pt;' width='248'>Sandstones and conglomerates.<br />Basic igneous (Antrim lavas).<br />Mixed limestone, shale and sandstone.</td><td style='border-left-style:none; border-right:1px solid rgb(204, 204, 204); border-top-style:none; padding:0.5rem; width:110pt;' width='146'>Gleys<br />Acid brown earths.<br />Brown/grey brown podzolics.</td></tr><tr style='border-bottom:1px solid rgb(204, 204, 204); height:144pt;' height='192'><td style='border-left:1px solid rgb(204, 204, 204); border-right:1px solid rgb(204, 204, 204); border-top-style:none; height:144pt; padding:0.5rem;' height='192'>4</td><td style='border-left-style:none; border-right:1px solid rgb(204, 204, 204); border-top-style:none; padding:0.5rem;'>9, 10, 11, 12</td><td style='border-left-style:none; border-right:1px solid rgb(204, 204, 204); border-top-style:none; padding:0.5rem; width:167pt;' width='223'><span style='font-family:inherit;'>Lowlands between Lough Neagh and the north coast and surrounding Lough Neagh. Land classes 9 and 10 largely surround Lough Neagh.</span><br /><span style='font-family:inherit;'>Land classes 11 and 12 are characteristic of land between Lough Neagh and the north coast.</span></td><td style='border-left-style:none; border-right:1px solid rgb(204, 204, 204); border-top-style:none; padding:0.5rem; width:128pt;' width='170'>Sleet/snow, moderate.<br />January temperature, low - moderate. July temperature, low - high.</td><td style='border-left-style:none; border-right:1px solid rgb(204, 204, 204); border-top-style:none; padding:0.5rem; width:217pt;' width='290'>Lowland.<br />Elevation 0-500 ft (0-152 m).<br />Flat and undulating landscape.<br />River and stream network.</td><td style='border-left-style:none; border-right:1px solid rgb(204, 204, 204); border-top-style:none; padding:0.5rem; width:361pt;' width='482'>Developed road network (all types). Urban land.<br />Intermediate number of buildings.</td><td style='border-left-style:none; border-right:1px solid rgb(204, 204, 204); border-top-style:none; padding:0.5rem;'>Basic igneous (Antrim lavas).</td><td style='border-left-style:none; border-right:1px solid rgb(204, 204, 204); border-top-style:none; padding:0.5rem; width:110pt;' width='146'>Acid brown earths.<br />Gleys.<br />Blanket peat (basin and low level).</td></tr><tr style='border-bottom:1px solid rgb(204, 204, 204); height:273.6pt;' height='365'><td style='border-left:1px solid rgb(204, 204, 204); border-right:1px solid rgb(204, 204, 204); border-top-style:none; height:273.6pt; padding:0.5rem;' height='365'>5</td><td style='border-left-style:none; border-right:1px solid rgb(204, 204, 204); border-top-style:none; padding:0.5rem;'>13, 14, 15, 16</td><td style='border-left-style:none; border-right:1px solid rgb(204, 204, 204); border-top-style:none; padding:0.5rem; width:167pt;' width='223'><span style='font-family:inherit;'>Widely dispersed but particularly common at lowland/upland margin.</span><br /><span style='font-family:inherit;'>Land class 13 is characteristic west of the Mourne Mountains and Slieve Croob in Co.</span><br /><span style='font-family:inherit;'>Down. It is also present adjacent to the Sperrin Mountains.</span><br /><span style='font-family:inherit;'>Land class 14 is widely dispersed.</span><br /><span style='font-family:inherit;'>Land class 15 has a predominantly south-west distribution.</span><br /><span style='font-family:inherit;'>Land class 16 is associated with the coast, river valleys and glens in the North and North-East.</span></td><td style='border-left-style:none; border-right:1px solid rgb(204, 204, 204); border-top-style:none; padding:0.5rem; width:128pt;' width='170'>Sleet/snow, low - moderate.<br />January temperature, moderate - high. July temperature, low - moderate.</td><td style='border-left-style:none; border-right:1px solid rgb(204, 204, 204); border-top-style:none; padding:0.5rem; width:217pt;' width='290'>Lowland.<br />Elevation, 0-500 ft (0-152m). Sloping and drumlin landscape. River and stream network.</td><td style='border-left-style:none; border-right:1px solid rgb(204, 204, 204); border-top-style:none; padding:0.5rem; width:361pt;' width='482'>Developed road network (all types). Urban land.<br />Intermediate number of buildings.</td><td style='border-left-style:none; border-right:1px solid rgb(204, 204, 204); border-top-style:none; padding:0.5rem; width:186pt;' width='248'>Basic igneous (Antrim lavas). Sandstones and conglomerates. Mixed limestone, shale and sandstone. Precambrian limestones.<br />Basic igneous.<br />Shales and mudstone (including coal measures). Ordovician/Silurian, shales and greywackes.</td><td style='border-left-style:none; border-right:1px solid rgb(204, 204, 204); border-top-style:none; padding:0.5rem; width:110pt;' width='146'>Gleys.<br />Acid brown earths. Brown/grey brown podzolics.</td></tr><tr style='border-bottom:1px solid rgb(204, 204, 204); height:273.6pt;' height='365'><td style='border-left:1px solid rgb(204, 204, 204); border-right:1px solid rgb(204, 204, 204); border-top-style:none; height:273.6pt; padding:0.5rem;' height='365'>6</td><td style='border-left-style:none; border-right:1px solid rgb(204, 204, 204); border-top-style:none; padding:0.5rem;'>17, 18, 19</td><td style='border-left-style:none; border-right:1px solid rgb(204, 204, 204); border-top-style:none; padding:0.5rem; width:167pt;' width='223'><span style='font-family:inherit;'>Mourne Mountains and Slieve Croob. South Armagh.</span><br /><span style='font-family:inherit;'>Centi-al Co. Tyrone and east Co. Fermanagh. Sperrin Mountains.</span><br /><span style='font-family:inherit;'>Antrim plateau.</span><br /><span style='font-family:inherit;'>Land class 17 is particularly common in the South-East (Mourne Mountains, Slieve Croob and south Armagh).</span><br /><span style='font-family:inherit;'>Land class 18 is dispersed throughout but is centred on the south-west of the Antrim Hills.</span><br /><span style='font-family:inherit;'>Land class 19 is mainly located in Co. Tyrone and east Co. Fermanagh.</span></td><td style='border-left-style:none; border-right:1px solid rgb(204, 204, 204); border-top-style:none; padding:0.5rem; width:128pt;' width='170'>Sleet/snow, low - high.<br />January temperature, low - moderate. July temperature, moderate - high.</td><td style='border-left-style:none; border-right:1px solid rgb(204, 204, 204); border-top-style:none; padding:0.5rem; width:217pt;' width='290'>Upland.<br />Elevation, 500-800 ft (153-244 m). Sloping and hilly landscape.<br />Stream network.<br />Source of river/stream.</td><td style='border-left-style:none; border-right:1px solid rgb(204, 204, 204); border-top-style:none; padding:0.5rem;'>Secondary, tertiary and minor road network. Moderate number of buildings.</td><td style='border-left-style:none; border-right:1px solid rgb(204, 204, 204); border-top-style:none; padding:0.5rem; width:186pt;' width='248'>Basic igneous.<br />Granite, gneiss.<br />Basic igneous (Antrim lavas). Ordovician/Silurian, shales and greywackes. Sandstones and conglomerates.</td><td style='border-left-style:none; border-right:1px solid rgb(204, 204, 204); border-top-style:none; padding:0.5rem; width:110pt;' width='146'>Acid brown earths.<br />Gleys.<br />Brown/grey brown podzolics. Peaty podzols.</td></tr><tr style='border-bottom:1px solid rgb(204, 204, 204); height:172.8pt;' height='230'><td style='border-left:1px solid rgb(204, 204, 204); border-right:1px solid rgb(204, 204, 204); border-top-style:none; height:172.8pt; padding:0.5rem;' height='230'>7</td><td style='border-left-style:none; border-right:1px solid rgb(204, 204, 204); border-top-style:none; padding:0.5rem;'>20, 21</td><td style='border-left-style:none; border-right:1px solid rgb(204, 204, 204); border-top-style:none; padding:0.5rem; width:167pt;' width='223'><span style='font-family:inherit;'>Antrim plateau, Belfast Hills.</span><br /><span style='font-family:inherit;'>North De1'ry Hills, Sperrin Mountains.</span><br /><span style='font-family:inherit;'>Mountain areas in Co. Fermanagh and Co. Tyrone.</span><br /><span style='font-family:inherit;'>Land class 20 is more characteristic than land class 21 in the South-West (Co. Fermanagh, Co. Tyrone).</span></td><td style='border-left-style:none; border-right:1px solid rgb(204, 204, 204); border-top-style:none; padding:0.5rem; width:128pt;' width='170'>Sleet/snow, moderate - high.<br />January temperature, moderate - high. July temperature, low - moderate.</td><td style='border-left-style:none; border-right:1px solid rgb(204, 204, 204); border-top-style:none; padding:0.5rem; width:217pt;' width='290'>Upland/mountains.<br />Elevation 500-800 ft (153-244 m). Sloping and upland plateau landscape. Stream network.<br />Source of river/stream.</td><td style='border-left-style:none; border-right:1px solid rgb(204, 204, 204); border-top-style:none; padding:0.5rem;'>Secondary, tertiary and minor road network. Low number of buildings.</td><td style='border-left-style:none; border-right:1px solid rgb(204, 204, 204); border-top-style:none; padding:0.5rem; width:186pt;' width='248'>Schists.<br />Basic igneous (Antrim Lavas).<br />Mixed limestone, shale and sandstone. Precambrian, undifferentiated.<br />Sandstones and conglomerates. Chalk and related rock.<br />Precambrian limestones.</td><td style='border-left-style:none; border-right:1px solid rgb(204, 204, 204); border-top-style:none; padding:0.5rem; width:110pt;' width='146'>Blanket peat (basalt and high level). Peaty gleys.<br />Gleys.<br />Brown/grey brown podzolics.</td></tr><tr style='border-bottom-style:none; height:144pt;' height='192'><td style='border-left:1px solid rgb(204, 204, 204); border-right:1px solid rgb(204, 204, 204); border-top-style:none; height:144pt; padding:0.5rem;' height='192'>8</td><td style='border-left-style:none; border-right:1px solid rgb(204, 204, 204); border-top-style:none; padding:0.5rem;'>22, 23</td><td style='border-left-style:none; border-right:1px solid rgb(204, 204, 204); border-top-style:none; padding:0.5rem; width:167pt;' width='223'><span style='font-family:inherit;'>Mountain areas throughout.</span><br /><span style='font-family:inherit;'>Land class 22 is more characteristic in the South-West (Co. Fermanagh, Co. Tyrone) than land class 23.</span><br /><span style='font-family:inherit;'>Land class 23 is more common than land class 22 in the Mourne Mountains.</span></td><td style='border-left-style:none; border-right:1px solid rgb(204, 204, 204); border-top-style:none; padding:0.5rem; width:128pt;' width='170'>Sleet/snow, low - high.<br />January temperature, moderate - high. July temperature, low - moderate.</td><td style='border-left-style:none; border-right:1px solid rgb(204, 204, 204); border-top-style:none; padding:0.5rem; width:217pt;' width='290'>Mountains.<br />Elevation > 800 ft (> 244 m).<br />Sloping and mountain plateau landscape. Stream network.<br />Source of river/stream.</td><td style='border-left-style:none; border-right:1px solid rgb(204, 204, 204); border-top-style:none; padding:0.5rem; width:361pt;' width='482'>Minor road network.<br />Few buildings.</td><td style='border-left-style:none; border-right:1px solid rgb(204, 204, 204); border-top-style:none; padding:0.5rem; width:186pt;' width='248'>Schists.<br />Basic igneous (Antrim Lavas).<br />Mixed limestone, shale and sandstone. Basic igneous.<br />Granite gneiss.</td><td style='border-left-style:none; border-right:1px solid rgb(204, 204, 204); border-top-style:none; padding:0.5rem; width:110pt;' width='146'>Blanket peat (basalt and high level). Peaty gleys.<br />Peaty podzols.<br />Gleys.</td></tr></tbody></table></figure></figure></figure>
The Northern Ireland Land Classification (Cooper 1986) was constructed to provide the basis of a stratified random sampling programme for field survey of land use, ecological resources and landscape attributes. It provides a convenient framework for summarising landscape variation and describing resource differences within study areas.
Ronald Murray, Thomas McCann & Alan Cooper Department of Environmental Studies University of Ulster Cromore Road Coleraine Co. Derry BT52 1SA November 1992 ISBN 1 871206 93 6 Copyright © NIEA, 2025.
<p style='background-color:rgb(255, 255, 255); color:rgb(76, 76, 76); font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; margin:0px 0px 1.5rem; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>The Northern Ireland Land Classification is based on the information available prior to publication (1986).</p><p style='background-color:rgb(255, 255, 255); color:rgb(76, 76, 76); font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; margin:0px 0px 1.5rem; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>Data is strictly for internal, staff use only.</p><p style='background-color:rgb(255, 255, 255); color:rgb(76, 76, 76); font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; margin:0px 0px 1.5rem; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>Queries regarding the use limitations or content of this data should be forwarded to NIEA.GIS@daera-ni.gov.uk.</p><p style='background-color:rgb(255, 255, 255); color:rgb(76, 76, 76); font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; margin:0px 0px 1.5rem; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>Copyright © NIEA, 2025.</p>
Land ClassificationNIEANorthern Ireland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