2021 USGS QL1 Lidar: San Bernardino, CA

LIDAR-derived binary (.las) files containing classified points of all returns. We have seven (7) classifications Unclassified, Ground, Low Noise, Water, Bridge Decks, High Noise and Ignore Ground. These files adhere to USGS-NGP Lidar Base Specification 2020 rev. A Quality Level 1 (QL1) standards, eight points or greater per square meter. These files are delivered in tile format (1500x1500m).

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 Entwine Point Tiles (EPT) hosted by USGS on Amazon Web Services.

This task is for providing a fall leaf-off 2021 lidar survey to be collected over an Area of Interest (AOI) of approximately 124 square miles in southern California covering a portion of Riverside County. This project will support the USGS Earth MRI (Mapping Resources Initiative), USGS GMEG (Geology, Minerals, Energy, and Geophysics) Science Center, and the 3DEP mission. The project has 378 tiles (1500m by 1500m) for the QL1 area.

USGS Task Order 140G0221F0290-CA_SanBernardino_EarthMRI_2021_D21

The following are the USGS lidar fields in JSON:

{

"ldrinfo" : {

"ldrspec" : "USGS-NGP Base Lidar Specification 2020 Rev A",

"ldrsens" : "Optech Galaxy Prime Airborne Laser Terrain Mappers (ALTM) 5060380",

"ldrmaxnr" : "8",

"ldrnps" : "0.7",

"ldrdens" : "2",

"ldranps" : "0.7",

"ldradens" : "2",

"ldrfltht" : "3400",

"ldrfltsp" : "170",

"ldrscana" : "40",

"ldrscanr" : "72",

"ldrpulsr" : "700",

"ldrpulsd" : "3.5",

"ldrpulsw" : "1.7",

"ldrwavel" : "1064",

"ldrmpia" : "1",

"ldrbmdiv" : "0.25",

"ldrswatw" : "2475",

"ldrswato" : "20",

"ldrgeoid" : "National Geodetic Survey (NGS) Geoid18"

},

"ldraccur" : {

"ldrchacc" : "0",

"rawnva" : "0.0",

"rawnvan" : "0"

},

"lasinfo" : {

"lasver" : "1.4",

"lasprf" : "6",

"laswheld" : "Withheld (ignore) points were identified in these files using the standard LAS withheld bit.",

"lasolap" : "Swath "overage" points were not identified in these files using the standard LAS overlap bit.",

"lasintr" : "12",

"lasclass" : {

"clascode" : "1",

"clasitem" : "Unclassified"

},

"lasclass" : {

"clascode" : "2",

"clasitem" : "Ground"

},

"lasclass" : {

"clascode" : "7",

"clasitem" : "Low Noise"

},

"lasclass" : {

"clascode" : "9",

"clasitem" : "Water"

},

"lasclass" : {

"clascode" : "17",

"clasitem" : "Bridge"

},

"lasclass" : {

"clascode" : "18",

"clasitem" : "High Noise"

},

"lasclass" : {

"clascode" : "20",

"clasitem" : "Ignore Breakline"

}

}}

Any conclusions drawn from the analysis of this information are not the responsibility of NOAA, the Office for Coastal Management or its partners.

Data is available online for bulk and custom downloads

None

Users should be aware that temporal changes may have occurred since this data set was collected and some parts of this data may no longer represent actual surface conditions. Users should not use this data for critical applications without a full awareness of its limitations.

This data set was produced to meet ASPRS Positional Accuracy Standard for Digital Geospatial Data (2014) for a 10-cm RMSEz Vertical Accuracy Class.

USGS Determined Vertical Accuracy:

Tested NVA RMSEz = 5.4 cm

Tested 95th percentile value for VVA is : 11.12 cm

For more information see the USGS project report and the lidar report. The links to these reports are provided in the URL section of this metadata record.

These 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 Non-Vegetated Vertical Accuracy specifications.

Data covers the entire area specified for this project.

Data is backed up to cloud storage.

The NOAA Office for Coastal Management (OCM) ingested references to the USGS Entwine Point Tiles (EPT) hosted on Amazon Web Services (AWS) into the Digital Coast Data Access Viewer (DAV). The DAV accesses the point cloud as it resides on AWS under the usgs-lidar-public-container.