Raster Dataset
Tags
USFS, Oregon, LiDAR,
bare earth, Linn County, digital terrain model, EPA, bare ground, Light Detection and
Ranging, Pacific Northwest, Blue River, elevation data, topography, high-resolution, DEM,
Lane County
Provide high resolution terrain elevation and land cover elevation data.
This dataset represents the Blue River Watershed survey area in Linn and Lane County, OR. This bare earth digital elevation model (DEM) represent the earth's surface with all vegetation and human-made structures removed. The bare earth DEMs were derived from LiDAR data using TIN processing of the ground point returns. The DEM grid cell size is 1 meter. The elevation units are in meters. Some elevation values have been interpolated across areas in the ground model where there is no elevation data (e.g. over water, over dense vegetation). Watershed Sciences, Inc. collected the LiDAR and created this data set for the EPA and USFS.
There are no credits for this item.
In some areas of heavy vegetation or forest cover, there may be relatively few ground points in the LiDAR data. TINing the points produces large triangles and hence the elevations may be less accurate within such areas. Elevation values for open water surfaces are not valid elevation values because few LiDAR points are returned from water surfaces. Triangles were created across water surfaces by interpolating from the nearest land points.
Extent
West | -122.334155 | East | -122.129467 |
North | 44.340085 | South | 44.202966 |
Maximum (zoomed in) | 1:5,000 |
Minimum (zoomed out) | 1:150,000,000 |
The dataset is projected in UTM Zone 10N, meters
date of LiDAR flight
In some areas of heavy vegetation or forest cover, there may be relatively few ground points in the LiDAR data. TINing the points produces large triangles and hence the elevations may be less accurate within such areas. Elevation values for open water surfaces are not valid elevation values because few LiDAR points are returned from water surfaces. Triangles were created across water surfaces by interpolating from the nearest land points.
visit the website @ http://andrewsforest.oregonstate.edu/lter/data/metadata.cfm?topnav=115
raster data set
source
elevation above sea level in meters
source
This dataset represents the Blue River Watershed survey area in Linn and Lane County, OR. This bare earth digital elevation model (DEM) represent the earth's surface with all vegetation and human-made structures removed. The bare earth DEMs were derived from LiDAR data using TIN processing of the ground point returns. The DEM grid cell size is 1 meter. The elevation units are in meters. Some elevation values have been interpolated across areas in the ground model where there is no elevation data (e.g. over water, over dense vegetation). Watershed Sciences, Inc. collected the LiDAR and created this data set for the EPA and USFS.
Provide high resolution terrain elevation and land cover elevation data.
The dataset is projected in UTM Zone 10N, meters
ground condition
None
In some areas of heavy vegetation or forest cover, there may be relatively few ground points in the LiDAR data. TINing the points produces large triangles and hence the elevations may be less accurate within such areas.
Elevation values for open water surfaces are not valid elevation values because few LiDAR points are returned from water surfaces. Triangles were created across water surfaces by interpolating from the nearest land points.
LiDAR flight lines have been examined to ensure that there was at least 50% sidelap, there are no gaps between flightlines, and overlapping flightlines have consistent elevation values.
Shaded relief images have been visually inspected for data errors such as pits, border artifacts, gaps, and shifting. The data was examined at a 1:2000 scale.
LiDAR data has been collected and processed to the extent of the boundary shapefile provided.
See LiDAR data report.
The Root Mean Square Error (RMSE) of the data set is 0.052 meters. Accuracy was assessed using 419 ground survey RTK (real time kinematic) points. Please see LiDAR data report for a discussion of statistics related to these datasets.
Acquisition.
The LiDAR data was collected on October 27, 28 and November 1, 2011. The survey used a Leica ALS60ii laser system mounted in a Cessna Caravan 208B. Near nadir scan angles were used to increase penetration of vegetation to ground surfaces. Ground level GPS and aircraft IMU were collected during the flight.
Processing.
1. Flight lines and data were reviewed to ensure complete coverage of the study area and positional accuracy of the laser points.
2. Laser point return coordinates were computed using ALS Post Processor software, IPAS Pro GPS/INS software, and Waypoint GPS, based on independent data from the LiDAR system, IMU, and aircraft.
3. The raw LiDAR file was assembled into flight lines per return with each point having an associated x, y, and z coordinate.
4. Visual inspection of swath to swath laser point consistencies within the study area were used to perform manual refinements of system alignment.
5. Custom algorithms were designed to evaluate points between adjacent flight lines. Automated system alignment was computed based upon randomly selected swath to swath accuracy measurements that consider elevation, slope, and intensities. Specifically, refinement in the combination of system pitch, roll and yaw offset parameters optimize internal consistency.
6. Noise (e.g., pits and birds) was filtered using ALS postprocessing software, based on known elevation ranges and included the removal of any cycle slips.
7. Using TerraScan and Microstation, ground classifications utilized custom settings appropriate to the study area.
8. The corrected and filtered return points were compared to the RTK ground survey points collected to verify the vertical and horizontal accuracies.
9. Points were output as laser points, TINed and GRIDed surfaces.