Raster Dataset
Tags
DEM, digital elevation model, elevation, LiDAR, surface elevation, topography
These LiDAR data will be used as inputs into flood forecasting models and ultimately creation of flood risk maps. The data will assist communities with development planning, emergency preparedness ,flood response, surface water management and nutrient loading.
The data provided is a Digital Elevation Model (DEM) covering 681 square-kilometers of portions of the Seine River and Rat River watershedsin Manitoba. DEM files were generated at 1-metre resolution from LiDAR points classified as ground points.
LiDAR data were collected between May 7 and May 29, 2019.
There are no credits for this item.
None. However, users should be aware that temporal changes may have occurred since this dataset was collected and that someparts of these data may no longer represent actual surface conditions.
Extent
| West | -96.395501 | East | -95.882451 |
| North | 49.667570 | South | 49.116623 |
| Maximum (zoomed in) | 1:5,000 |
| Minimum (zoomed out) | 1:150,000,000 |
Monday through Friday 8:00 AM to 5:00 PM (Eastern Time)
Monday through Friday 8:00 AM to 5:00 PM (Eastern Time)
None. However, users should be aware that temporal changes may have occurred since this dataset was collected and that someparts of these data may no longer represent actual surface conditions.
Data cover the entire area specified for this project including of buffer of 100m around specified limits.
The raw LAS data files include all data points collected. No points have been removed or excluded. A visual qualitative assessment was performed to ensure data completeness. No void areas or missing data exist. The raw point cloud is of good quality and data passes Fundamental Vertical Accuracy specifications.
Horizontal accuracy, at the 95 percent confidence level: average dp: 0.101 RMSE: 0.120 Std deviation: 0.069
Average dz: -0.017 RMSE: 0.033 Std deviation: 0.028
Lidar Post-Processing: The calibrated and controlled lidar swaths were processed using automatic point classification routines in software Terrascan. These routines operate against the entire collection (all swaths, all lifts), eliminating character differences between files. Data were then distributed as virtual tiles to experienced lidar analysts for localized automatic classification, manual editing, and peer-based QC checks. Supervisory QC monitoring of work in progress and completed editing ensured consistency of classification character and adherence to project requirements across the entire project.
Monday through Friday 8:00 AM to 5:00 PM (Eastern Time)
Lidar Preprocessing: Airborne GPS and IMU data were merged to develop a Single Best Estimate (SBET) of the lidar system trajectory for each lift. Lidar ranging data were initially calibrated using previous best parameters for this instrument and aircraft. Relative calibration was evaluated using advanced plane-matching analysis and parameter corrections derived. Data were then block adjusted to match surveyed calibration control. Raw data were checked using independently surveyed check points.
Monday through Friday 8:00 AM to 5:00 PM (Eastern Time)
Monday through Friday 8:00 AM to 5:00 PM (Eastern Time)