Data Management Plan (Deprecated)

Product:

These are Digital Elevation Model (DEM) data for the required deliverables for the LA Coastal Louisiana Lidar project. Class 2 (ground) lidar points in conjunction with the hydro breaklines were used to create a 0.5 meter hydro-flattened Raster DEM.

Geographic Extent:

LA_CoastalLouisiana_1 (Work Unit 197958) covering approximately 2,200 square miles in Jefferson, Orleans, Plaquemines, and St. Bernard Parishes

LA_CoastalLouisiana_2 (Work Unit 228382) covering approximately 734 square miles in Jefferson, Lafourche, Plaquemines, and St. Charles Parishes

Dataset Description:

The LA Coastal Louisiana Lidar project called for the Planning, Acquisition, processing and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.35 meters. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification, Version 2.1. The data were developed based on a horizontal datum/projection of NAD83 (2011) UTM Zone 15N (LA_CoastalLouisiana_2 (Work Unit 228382)) and 16N (LA_CoastalLouisiana_1 (Work Unit 197958)), Universal Transverse Mercator, meters and a vertical datum of NAVD88 (GEOID18), meters. Lidar data was delivered as processed Classified LAS 1.4 files, formatted to individual 1,000 m x 1,000 m tiles, as tiled Intensity Imagery, and as tiled bare earth DEMs; all tiled to the same 1,000 m x 1,000 m schema.

Ground Conditions:

Lidar was collected in early 2021 and late 2021, while no snow was on the ground and rivers were at or below normal levels.

LA_CoastalLouisiana_1

In order to post process the lidar data to meet task order specifications and meet ASPRS vertical accuracy guidelines, Dewberry, established a total of 34 ground control points that were used to calibrate the LA_CoastalLouisiana_1 (Work Unit 197958) lidar to known ground locations established throughout the LA Coastal Louisiana project area. An additional 111 independent accuracy checkpoints, 62 in Bare Earth and Urban landcovers (62 NVA points), 49 in Tall Grass and Brushland/Low Trees categories (49 VVA points), were used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data.

LA_CoastalLouisiana_2

In order to post process the lidar data to meet task order specifications and meet ASPRS vertical accuracy guidelines, Dewberry, established a total of 17 ground control points that were used to calibrate the LA_CoastalLouisiana_2 (Work Unit 228328) lidar to known ground locations established throughout the LA Coastal Louisiana 2020 project area. An additional 48 independent accuracy checkpoints, 31 in Bare Earth and Urban landcovers (31 NVA points), 17 in Tall Grass and Brushland/Low Trees categories (17 VVA points), were used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data.

This metadata record supports the data entry in the NOAA Digital Coast Data Access Viewer (DAV). For this data set, the DAV is leveraging the GeoTIFF files hosted by USGS on Amazon Web Services.

LA_CoastalLouisiana_1 (Work Unit 197958)

LA_CoastalLouisiana_2 (Work Unit 228382)

Lineage Statement:
The NOAA Office for Coastal Management (OCM) ingested references to the USGS GeoTIFF files that are hosted on Amazon Web Services (AWS), into the Digital Coast Data Access Viewer (DAV). The DAV accesses the raster data as it resides on AWS.

Process Steps:

• 2022-07-01 00:00:00 - The boresight for each lift was done individually as the solution may change slightly from lift to lift. The following steps describe the Raw Data Processing and Boresight process: 1) Technicians processed the raw data to LAS format flight lines using the final GPS/IMU solution. This LAS data set was used as source data for boresight. 2) Technicians first used proprietary and commercial software to calculate initial boresight adjustment angles based on sample areas selected in the lift. These areas cover calibration flight lines collected in the lift, cross tie and production flight lines. These areas are well distributed in the lift coverage and cover multiple terrain types that are necessary for boresight angle calculation. The technician then analyzed the results and made any necessary additional adjustment until it is acceptable for the selected areas. 3) Once the boresight angle calculation was completed for the selected areas, the adjusted settings were applied to all of the flight lines of the lift and checked for consistency. The technicians utilized commercial and proprietary software packages to analyze how well flight line overlaps match for the entire lift and adjusted as necessary until the results met the project specifications. 4) Once all lifts were completed with individual boresight adjustment, the technicians checked and corrected the vertical misalignment of all flight lines and also the matching between data and ground truth. The relative accuracy was less than or equal to 6 cm RMSEz within individual swaths and less than or equal to 8 cm RMSEz or within swath overlap (between adjacent swaths). 5) The technicians ran a final vertical accuracy check of the boresighted flight lines against the surveyed check points after the z correction to ensure the requirement of NVA = 19.6 cm 95% Confidence Level (Required Accuracy) was met. Point classification was performed according to USGS Lidar Base Specification 2.1, and breaklines were collected for water features. Bare earth DEMs were exported from the classified point cloud using collected breaklines for hydroflattening.
• 2022-07-06 00:00:00 - LAS Point Classification: The point classification is performed as described below. The bare earth surface is then manually reviewed to ensure correct classification on the Class 2 (Ground) points. After the bare-earth surface is finalized, it is then used to generate all hydro-breaklines through heads-up digitization. All ground (ASPRS Class 2) lidar data inside of the Lake Pond and Double Line Drain hydro flattening breaklines were then classified to water (ASPRS Class 9) using TerraScan macro functionality. A buffer of 0.7 meters was also used around each hydro-flattened feature to classify these ground (ASPRS Class 2) points to Ignored ground (ASPRS Class 20). All Lake Pond Island and Double Line Drain Island features were checked to ensure that the ground (ASPRS Class 2) points were reclassified to the correct classification after the automated classification was completed. All data was manually reviewed and any remaining artifacts removed using functionality provided by TerraScan and TerraModeler. Global Mapper was used as a final check of the bare earth dataset. The withheld bit was set on the withheld points previously identified in TerraScan before the ground classification routine was performed. The withheld bit was set on class 7 and class 18 in TerraScan after all classification was complete. Dewberry proprietary software was then used to create the deliverable industry-standard LAS files for both the Point Cloud Data and the Bare Earth. Dewberry proprietary software was used to perform final statistical analysis of the classes in the LAS files, on a per tile level to verify final classification metrics and full LAS header information.
• 2022-07-06 00:00:00 - Data was tested at 0.31 meter nominal pulse spacing and 10.6 points per square meter (ppsm). The average density was tested on the LAS data using geometrically reliable (withheld and noise points excluded) first-return points. (A)NPD was tested using rasters which produce the average number of points within each cell.
• 2022-07-31 00:00:00 - Hydro Flattened Raster DEM Process: Class 2 (ground) lidar points in conjunction with the hydro breaklines were used to create a 0.5 meter hydro-flattened Raster DEM. Using LP360, a TIFF file was created for each tile. Each surface is reviewed using ArcMap to check for any surface anomalies or incorrect elevations found within the surface.
• 2025-01-29 00:00:00 - The NOAA Office for Coastal Management (OCM) created references to the USGS GeoTIFF files that were ingested into the NOAA Digital Coast Data Access Viewer (DAV). No changes were made to the data. The DAV will access the raster data as it resides on Amazon Web Services (AWS). These are the GeoTIFF files that are being accessed: https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/LA_CoastalLouisiana_2020_D20/LA_CoastalLouisiana_1_2020/TIFF/ https://prd-tnm.s3.amazonaws.com/index.html?prefix=StagedProducts/Elevation/OPR/Projects/LA_CoastalLouisiana_2020_D20/LA_CoastalLouisiana_2_2020/TIFF/

Data is available online for bulk and custom downloads.

Data is backed up to cloud storage.