2011 OR DOGAMI Lidar: CVO Newberry

Welcome Guest   ( Sign In )
NOAA
The Oregon Department of Geology & Mineral Industries (DOGAMI) contracted with Watershed Sciences, Inc. to collect high resolution topographic LiDAR data for multiple areas within the State of Oregon. The areas for LiDAR collection have been designed as part of a collaborative effort of state, federal, and local agencies in order to meet a wide range of project goals. This LiDAR data set was collected July 31 - August 5, 2011 and encompasses portions of Deschutes, Klamath, and Lake counties in Oregon. This data set consists of bare earth and unclassified points. The average pulse density is 9.47 pulses per square meter over terrestrial surfaces. The area of interest (AOI) totals 231 square miles (147,745 acres) and the total area flown (TAF) covers 239 square miles (153,219 acres). The TAF acreage is greater than the original AOI acreage due to buffering and flight planning optimization. This metadata record reflects all the data and cumulative statistics for the overall lidar survey. In some areas of heavy vegetation or forest cover, there may be relatively few ground points in the LiDAR data. Elevation values for open water surfaces are not valid elevation values because few LiDAR points are returned from water surfaces. LiDAR intensity values were also collected. Cascade Volcano Observatory (CVO) Original contact information: Contact Name: Ian Madin Contact Org: DOGAMI Phone: 971-673-1542 Email: ian.madin@dogami.state.or.us This data set is an LAZ (compressed LAS) format file containing LIDAR point cloud data.
Select area of data to download or process  
  Usage Heat Map
 

Access to this dataset is currently limited to:
  • US academic community (with valid .edu addresses). Please log in to access these data.
  • K-12 teachers, international academics, and informal educators by application
  • OpenTopography+ members. Learn more about OT+

OpenTopography offers numerous other datasets that are free to access and use: select the OpenTopography, Community Dataspace, or Global & Regional DEMs on the Find Data map or Data Catalog.