Description
This dataset includes, LiDAR point cloud, DEM, hydro-conditioned DEM, and other calibration files. All geospatial data is available through the FWS Geospatial FileShare (EDW). FWS stores this dataset on the FWS Enterprise Data Warehouse for use in internal projects. There are no restrictions on this data, but it is very large and managed on an internal server. It is available to anyone on request.
Resources
| Name | Format | Description | Link |
|---|---|---|---|
| Database Connection | API | EDW location of data | |
| Bare_Earth_DEM_Metadata.xml | XML | Bare Earth DEM Metadata | Open resource |
| Canopy_DEM_Metadata.xml | XML | Canopy DEM Metadata | Open resource |
| Hydro_Conditioned_DEM_Metadata.xml | XML | Hydro-conditioned DEM Metadata | Open resource |
| Classified_Tiles_Metadata.xml | XML | Classified Tiles Metadata. The raw project LiDAR data was imported, processed, and outputs were created using the TerraScan software suite. Automated ground filters were run on the raw las data. These filters include factors and settings such as max building size, terrain angle, iteration angle degrees to plane, iteration distance to plane, reduce iteration angle when edge length is less than, and stop triangulation when edge length is less than. After the automated ground filter is run each tile is than checked for spikes and anomalies. Manual edits are applied to any areas that the analysts interpreted the ground doing something other than what the automatic ground filter interpreted. An analyst also classifies and edits any other las point to needed feature classes at this time. Only the LAS inside the provided map limit was classified and checked by analysts. Any points that were relevant to the classification were classified to the SOW requirements and placed using the classes provided in the SOW. Class | Open resource |
| Bare_Earth_DEM_Metadata.xml | XML | Bare Earth DEM Metadata | Open resource |
| Canopy_DEM_Metadata.xml | XML | Canopy DEM Metadata | Open resource |
| Hydro_Conditioned_DEM_Metadata.xml | XML | Hydro-conditioned DEM Metadata | Open resource |
| Classified_Tiles_Metadata.xml | XML | Classified Tiles Metadata. The raw project LiDAR data was imported, processed, and outputs were created using the TerraScan software suite. Automated ground filters were run on the raw las data. These filters include factors and settings such as max building size, terrain angle, iteration angle degrees to plane, iteration distance to plane, reduce iteration angle when edge length is less than, and stop triangulation when edge length is less than. After the automated ground filter is run each tile is than checked for spikes and anomalies. Manual edits are applied to any areas that the analysts interpreted the ground doing something other than what the automatic ground filter interpreted. An analyst also classifies and edits any other las point to needed feature classes at this time. Only the LAS inside the provided map limit was classified and checked by analysts. Any points that were relevant to the classification were classified to the SOW requirements and placed using the classes provided in the SOW. Class | Open resource |