Lidar Data of
County-wide lidar data collected between March 25 and April
7, 2004, is available for
The data, documentation, and associated files are available for download here.
Usage
Please note: This data is provided for free public
use. Under no circumstances may it be
resold.
Metadata
The data were acquired by Airborne 1, on behalf of the Canaan Valley Institute. The nominal posting interval is 1.4 m. Only first and last returns are available.
The data are available in two basic formats: (1) the raw lidar points (in both las format and text files) and (2) as gridded datasets (in Arc GRID format).
Additional metadata information can be obtained from the documentation directory.
Gridded Data
Note: At this time, the gridded data sets are not in an easily downloaded form, and we do not recommend downloading this data.
The gridded data are in tiles. In order to identify the gridded tiles, you should identify the quad sheet and the associated tile numbers from the Excel sheet in the Documentation directory: QA_CVI_LiDAR_Tiles.xls
Once you have identified the tiles you need, go to the grids directory, and select the data you need.
Point Data
Like the gridded, data, the point data are tiled, but in a different tiling scheme. In order to identify which tiles you would like to download, please download the zip file Shapefile_Tiles.zip with ArcView format information regarding the tile numbers for the first and last returns from the documentation directory. Download the zip file, unzip the data, and use ArcView or appropriate Remote Sensing or GIS software to view the relevant files and see the tile numbers. You may want to use a base map, for example, a georeferenced Landsat image, DOQQ, or DRG, in order to find a specific location.
Once you have identified the tiles you need, you are ready to proceed to the directories. For las format data, navigate to the las directory, and for ASCII data, navigate to the rawdata directory.
Acknowledgments
West Virginia View would like to thank Canaan Valley Institute for providing this data. In addition, we would like to thank ProLogic Inc, for helping with the indexing of the point tiles.
Updated 08/13/2009