| snippet:
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LiDAR is important as it generates accurate measurements instantaneously. Knowing the height of the Earth’s surface is important for a number of reasons.
Landslides, small fault scarps, and other geologic features that are difficult to spot visually in the field or on aerial photographs can often be clearly shown on LiDAR images.
LiDAR data helps detect where flooding might occur. The risk of rivers flooding is linked to factors such as: climate, the material that makes up the banks of the stream, the channel slope and the topography. The LiDAR (topography) data enables more accurate mapping of where the water will flow.
LiDAR data helps planners to assess where to place new buildings; knowing the height of buildings, LiDAR can determine where shade will occur and where best to place solar systems.
LiDAR data helps foresters to measure the height of trees in a forest and hence estimate the volume of timber.
LiDAR data helps archaeologists to find archaeological sites. Remains of buildings and other sites can be almost impossible to spot with the naked eye. LiDAR can pinpoint tiny surface differences that reveal small sites like graves or big ones like sunken cities. |
| summary:
|
LiDAR is important as it generates accurate measurements instantaneously. Knowing the height of the Earth’s surface is important for a number of reasons.
Landslides, small fault scarps, and other geologic features that are difficult to spot visually in the field or on aerial photographs can often be clearly shown on LiDAR images.
LiDAR data helps detect where flooding might occur. The risk of rivers flooding is linked to factors such as: climate, the material that makes up the banks of the stream, the channel slope and the topography. The LiDAR (topography) data enables more accurate mapping of where the water will flow.
LiDAR data helps planners to assess where to place new buildings; knowing the height of buildings, LiDAR can determine where shade will occur and where best to place solar systems.
LiDAR data helps foresters to measure the height of trees in a forest and hence estimate the volume of timber.
LiDAR data helps archaeologists to find archaeological sites. Remains of buildings and other sites can be almost impossible to spot with the naked eye. LiDAR can pinpoint tiny surface differences that reveal small sites like graves or big ones like sunken cities. |
| extent:
|
[[-10.4594825765637,51.464021094984],[-5.97059640913343,54.3446893951577]] |
| accessInformation:
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Geological Survey Ireland & the Office of Public Works |
| thumbnail:
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thumbnail/thumbnail.png |
| maxScale:
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1.7976931348623157E308 |
| typeKeywords:
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["Data","Service","Map Service","ArcGIS Server"] |
| description:
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<DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 14 0;"><SPAN><SPAN>LiDAR (Light Detection and Ranging) is a remote sensing technology, i.e. the technology is not in direct contact with what is being measured. From satellite, aeroplane or helicopter, a LiDAR system sends a light pulse to the ground. This pulse hits the ground and returns back to a sensor on the system. The time is recorded to measure how long it takes for this light to return.</SPAN></SPAN></P><P STYLE="margin:0 0 14 0;"><SPAN><SPAN>Knowing this time measurement scientists are able to create topography maps.</SPAN></SPAN></P><P STYLE="margin:0 0 14 0;"><SPAN><SPAN>LiDAR data are collected as points (X,Y,Z (x & y coordinates) and z (height)). The data is then converted into gridded (GeoTIFF) data to create a Digital Terrain Model and Digital Surface Model of the earth. This LiDAR data was collected between Oct.2006 and Jan. 2007. </SPAN></SPAN></P><P STYLE="margin:0 0 14 0;"><SPAN><SPAN>This data shows the areas in Ireland for which you can download LiDAR data and contains links to download the data. </SPAN></SPAN></P><P STYLE="margin:0 0 14 0;"><SPAN><SPAN>This is a vector dataset. Vector data portray the world using points, lines, and polygons (areas).</SPAN></SPAN></P><P STYLE="margin:0 0 14 0;"><SPAN>The LiDAR coverage is shown as polygons. Each polygon is 2000m by 2000m in size and holds information on: the location, data provider, owner, licence, published date, capture date, surveyor, RMS error, resolution and a link to download the LiDAR raster data in 2000m by 2000m sections.</SPAN></P></DIV></DIV></DIV> |
| licenseInfo:
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<DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 14 0;"><SPAN><SPAN>This data was produced by Geological Survey Ireland (GSI) and the Office of Public Works(OPW) and is free for use under the conditions of Creative Commons Attribution 4.0 International license.</SPAN></SPAN></P><P STYLE="margin:0 0 14 0;"><A href="https://creativecommons.org/licenses/by/4.0/" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>https://creativecommons.org/licenses/by/4.0/</SPAN></SPAN></A></P><P STYLE="margin:0 0 14 0;"><A href="https://creativecommons.org/licenses/by/4.0/legalcode" STYLE="text-decoration:underline;"><SPAN STYLE="text-decoration:underline;"><SPAN>https://creativecommons.org/licenses/by/4.0/legalcode</SPAN></SPAN></A></P><P STYLE="margin:0 0 14 0;"><SPAN><SPAN>Under the CC-BY Licence, users must acknowledge the source of the Information in their product or application.</SPAN></SPAN></P><P STYLE="margin:0 0 14 0;"><SPAN>Please use this specific attribution statement: "</SPAN><SPAN STYLE="font-weight:bold;">Contains Irish Public Sector Data (Geological Survey Ireland & the Office of Public Works) licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) licence</SPAN><SPAN>".</SPAN></P><P STYLE="margin:0 0 14 0;"><SPAN>In cases where it is not practical to use the statement users may include a URI or hyperlink to a resource that contains the required attribution statement.</SPAN></P></DIV></DIV></DIV> |
| catalogPath:
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|
| title:
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LiDAR Coverage Office of Public Works (OPW) Blom Coastal Survey 2006-2007 Ireland (ROI) ITM |
| type:
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Map Service |
| url:
|
|
| tags:
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["Ireland","IE/GSI","LiDAR","Topographic","Elevation"] |
| culture:
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en-IE |
| name:
|
IE_GSI_LiDAR_Coverage_OPW_IE26_ITM |
| guid:
|
58022E0D-AA03-4EB1-824B-F4E62C451AE0 |
| minScale:
|
0 |
| spatialReference:
|
IRENET95_Irish_Transverse_Mercator |