64802
2020 Lidar: Santa Clara County, CA
ca2020_santa_clara_m9329_metadata
Data Set
Published / External
49401
Lidar - partner (no harvest)
Project
Completed
2020-10-19
Product: These lidar data are processed Classified LAS 1.4 files, formatted to 8183 individual 2500 ft x 2500 ft tiles; used to create intensity rasters, 3D breaklines and hydro-flattened DEMs as necessary.
Geographic Extent: Santa Clara county, California, covering approximately 1771 square miles.
Dataset Description: The 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. Lidar data was delivered as processed Classified LAS 1.4 files, formatted to 8185 individual 2500 ft x 2500 ft tiles, as tiled intensity rasters, and as tiled bare-earth DEMs; all tiled to the same 2500 ft x 2500 ft schema.
Ground Conditions: Lidar was collected in early 2020, while no snow was on the ground and rivers were at or below normal levels. In order to post process the lidar data to meet task order specifications and meet ASPRS vertical accuracy guidelines, Sanborn Map Company, Inc., utilized a total of 25 ground control points that were used to calibrate the lidar to known ground locations established throughout the project area. An additional 125 independent accuracy checkpoints, 70 in Bare Earth and Urban landcovers (70 NVA points), 55 in Tall Grass and Brushland/Low Trees categories (55 VVA points), were used to assess the vertical accuracy of the data. These check points were not used to calibrate or post process the data.
The NOAA Office for Coastal Management (OCM) downloaded 8183 laz point data files from this USGS site:
ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/CA_SantaClaraCounty_2020_A20/CA_SantaClaraCounty_2020/LAZ/
The data were processed to the Data Access Viewer (DAV) and http. In addition to these lidar point data, the bare earth Digital Elevation Models (DEM) created from the lidar point data and the hydro breaklines are also available for download. These data are available for download at the links provided in the URL section of this metadata record. Please note that these products have not been reviewed by the NOAA Office for Coastal Management (OCM) and any conclusions drawn from the analysis of this information are not the responsibility of NOAA or OCM.
To acquire detailed surface elevation data for use in conservation planning, design, research, floodplain mapping, dam safety assessments and elevation modeling, etc. Classified LAS files are used to show the manually reviewed bare earth surface. This allows the user to create Intensity Images, Breaklines and Raster DEM. The purpose of these lidar data was to produce high accuracy 3D hydro-flattened Digital Elevation Model (DEM) with a 1 foot cell size. These lidar point cloud data were used to create intensity images, 3D breaklines, and hydro-flattened DEMs as necessary.
USGS Contract No. G16PC00051 CONTRACTOR: Sanborn Map Company, Inc. All follow-on processing was completed by the prime contractor.
The following are the USGS lidar fields in JSON:
{
"ldrinfo" : {
"ldrspec" : "U.S. Geological Survey (USGS) - National Geospatial Program (NGP) Lidar Base Specification v2.1",
"ldrsens" : "Leica TerrainMapper",
"ldrmaxnr" : "15",
"ldrnps" : "0.31",
"ldrdens" : "10.4",
"ldranps" : "0.31",
"ldradens" : "10.4",
"ldrfltht" : "2040",
"ldrfltsp" : "160",
"ldrscana" : "40",
"ldrscanr" : "150.0",
"ldrpulsr" : "1500.0",
"ldrpulsd" : "4",
"ldrpulsw" : "0.48",
"ldrwavel" : "1064",
"ldrmpia" : "1",
"ldrbmdiv" : "0.25",
"ldrswatw" : "1485",
"ldrswato" : "20",
"ldrgeoid" : "National Geodetic Survey (NGS) Geoid18"
},
"ldraccur" : {
"ldrchacc" : "0.5",
"rawnva" : "0.093",
"rawnvan" : "70",
"clsnva" : "0.093",
"clsnvan" : "70",
"clsvva" : "0.125",
"clsvvan" : "55"
},
"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 identified in these files using the standard LAS overlap bit.",
"lasintr" : "16",
"lasclass" : {
"clascode" : "1",
"clasitem" : "Processed, but Unclassified"
},
"lasclass" : {
"clascode" : "2",
"clasitem" : "Bare Earth Ground"
},
"lasclass" : {
"clascode" : "3",
"clasitem" : "Low Vegetation"
},
"lasclass" : {
"clascode" : "4",
"clasitem" : "Medium Vegetation"
},
"lasclass" : {
"clascode" : "5",
"clasitem" : "High Vegetation"
},
"lasclass" : {
"clascode" : "6",
"clasitem" : "Building"
},
"lasclass" : {
"clascode" : "7",
"clasitem" : "Low Noise"
},
"lasclass" : {
"clascode" : "9",
"clasitem" : "Water"
},
"lasclass" : {
"clascode" : "17",
"clasitem" : "Bridge Decks"
},
"lasclass" : {
"clascode" : "18",
"clasitem" : "High Noise"
},
"lasclass" : {
"clascode" : "20",
"clasitem" : "Ignored Ground"
},
"lasclass" : {
"clascode" : "21",
"clasitem" : "Snow"
},
"lasclass" : {
"clascode" : "22",
"clasitem" : "Temporal Exclusion"
}
}}
Theme
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION
Theme
ISO 19115 Topic Category
elevation
Spatial
Global Change Master Directory (GCMD) Location Keywords
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA
Spatial
Global Change Master Directory (GCMD) Location Keywords
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > CALIFORNIA
Spatial
Global Change Master Directory (GCMD) Location Keywords
VERTICAL LOCATION > LAND SURFACE
Instrument
Global Change Master Directory (GCMD) Instrument Keywords
LIDAR > Light Detection and Ranging
Platform
Global Change Master Directory (GCMD) Platform Keywords
Airplane > Airplane
Theme
erosion
Spatial
Continent > North America > United States Of America > California > Santa Clara County
Office for Coastal Management
Charleston
SC
Data Set
Elevation
None Planned
Model (digital)
Any conclusions drawn from the analysis of this information are not the responsibility of NOAA, the Office for Coastal Management or its partners.
Sanborn Map Company, Inc.
Data Steward
2021
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Distributor
2021
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Metadata Contact
2021
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Point of Contact
2021
Organization
NOAA Office for Coastal Management
NOAA/OCM
coastal.info@noaa.gov
2234 South Hobson Ave
Charleston
SC
29405-2413
(843) 740-1202
https://coast.noaa.gov
NOAA Office for Coastal Management Home Page
Online Resource
Ground Condition
-122.2517701747
-121.1604881458
37.5246275052
36.8544593422
Range
2020-04-03
2020-04-22
.35
Meter
No
Yes
No
No
No
Geographic 3D
EPSG:6319
NAD83(2011)
NAD83 (National Spatial Reference System 2011)
GRS 1980
6378137
298.257222101
1
Geodetic Latitude
Lat
degree
north
2
Geodetic Longitude
Lon
degree
east
3
Elipsoidal height
h
metre
up
Unclassified
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.
2021-06-17
https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9329/details/9329
2021
Organization
NOAA Office for Coastal Management
Customized Download
Create custom data files by choosing data area, product type, map projection, file format, datum, etc. A new metadata will be produced to reflect your request using this record as a base. Change to an orthometric vertical datum is one of the many options.
Zip
Zip
2021-06-17
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9329/index.html
2021
Organization
NOAA Office for Coastal Management
Bulk Download
Bulk download of data files in LAZ format, geographic coordinates, orthometric heights. Note that the vertical datum (hence elevations) of the files here are different than described in this document. They will be in an orthometric datum.
LAZ
LAS/LAZ - LASer
Zip
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9329/supplemental/ca2020_santa_clara_m9329.kmz
Browse graphic
Browse Graphic
KML
This graphic displays the footprint for this lidar data set.
https://coast.noaa.gov/dataviewer/
NOAA's Office for Coastal Management (OCM) Data Access Viewer (DAV)
Online Resource
HTML
The Data Access Viewer (DAV) allows a user to search for and download elevation, imagery, and land cover data for the coastal U.S. and its territories. The data, hosted by the NOAA Office for Coastal Management, can be customized and requested for free download through a checkout interface. An email provides a link to the customized data, while the original data set is available through a link within the viewer.
https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9330/details/9330
Custom DEM Download
Online Resource
Zip
Link to custom download, from the Data Access Viewer (DAV), the raster Digital Elevation Model (DEM) data that were created from this lidar data set.
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9329/breaklines/
Hydro Breaklines
Online Resource
Zip
Link to the hydro breaklines.
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9329/supplemental/312020310_SantaClara_County_CA_2020_LidarReport.pdf
Lidar Report
Online Resource
pdf
Link to the Sanborn lidar report.
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9329/supplemental/CA_SantaClaraCounty_2020_A20_WP_Report.pdf
USGS Vertical Accuracy Report
Online Resource
pdf
Link to the USGS vertical accuracy report.
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9329/supplemental/USGS_CA_SantaClaraCounty_2020_FINAL_lasqc.txt
USGS LAS QC Report
Online Resource
txt
Link to the USGS LAS QC Report.
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9329/supplemental/USGS_CA_SantaClaraCounty_2020_Summary_Report.pdf
USGS Data Validation Report
Online Resource
pdf
Link to the USGS Data Validation Report.
Leica HxMap v2.7.0; GeoCue v2017.1.14.1; Windows 10 Operating System
This data set was tested to meet ASPRS Positional Accuracy Standard for Digital Geospatial Data (2014) for a 10cm RMSEz Vertical Accuracy Class.
Actual NVA accuracy was found to be RMSEz = 4.72cm, equating to +/- 9.27cm at 95% confidence level. Actual VVA accuracy was found to be +/- 12.50cm at the 95th percentile.
USGS Determined Vertical Accuracy
Tested NVA = 9.40 cm at 95% Confidence Level (4.8 cm RMSE)
Tested VVA = 12.48 cm at 95th Percentile
Please see the USGS Work Package Report for more information. The link to this report is 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.
Yes
Unknown
Yes
NCEI-CO
Data is backed up to tape and to cloud storage.
Data were collected and processed by Sanborn Map Company, Inc. and made available on the USGS ftp site. The data were downloaded from the USGS ftp site by the NOAA Office for Coastal Management (OCM) where the data were processed to make it available for custom download from the Data Access Viewer (DAV) and bulk download from https.
Sanborn Map Company, Inc.
U.S. Geological Survey (USGS)
1
The boresight was completed prior to project execution. The following steps describe the Raw Data Processing process:
1) Technicians processed the raw data to LAS format flight lines using the final GNSS/IMU solution. This LAS data set was used as source data for lidar matching.
2) 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.
3) Once all lifts were completed with lidar matching, 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).
4) The technicians ran a final vertical accuracy check of the 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 v2.1, and breaklines were collected for water features. Bare-earth DEMs were exported from the classified point cloud using collected breaklines for hydroflattening.
2020-01-01T00:00:00
2
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 Class 2 (Ground) lidar data inside of the Lake Pond and Double Line Drain hydro-flattened breaklines were then classified to Class 9 (Water) using LP360 functionality.
A buffer of 1 foot was also used around each hydro-flattened feature to classify these Class 2 (Ground) points to Class 20 (Ignored Ground). All Lake Pond Island and Double Line Drain Island features were checked to ensure that the Class 2 (Ground) points were reclassified to the correct classification after the automated classification was completed. All overlap data was processed through automated functionality provided by TerraScan to classify the overlapping flight line data to approved classes by USGS.
The overlap data was classified using standard LAS overlap bit. These classes were created through automated processes only and were not verified for classification accuracy. Due to software limitations within TerraScan, these classes were used to trip the withheld bit within various software packages. These processes were reviewed and accepted by USGS through numerous conference calls and pilot study areas. All data was manually reviewed and any remaining artifacts removed using functionality provided by LP360, TerraScan and TerraModeler.
Global Mapper was used as a final check of the bare-earth dataset. GeoCue was then used to create the deliverable industry-standard LAS files. Sanborn Map Company, Inc. 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.
2020-10-18T00:00:00
3
Data was tested at 0.21 meter aggregate nominal pulse spacing and at 22.5 aggregate points per meter. The aggregate nominal pulse spacing was tested on classified tiled LAS using geometrically reliable first-return points without overlap. ANPS was tested using Delaunay Triangulation that produced average point spacing between all nearest neighbors.
2020-10-16T00:00:00
4
The NOAA Office for Coastal Management (OCM) downloaded 8183 laz point data files from this USGS site: ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/CA_SantaClaraCounty_2020_A20/CA_SantaClaraCounty_2020/LAZ/.
The data were in CA State Plane Region 3 FIPS 0403 (NAD83 2011), US survey feet coordinates and NAVD88 (Geoid18) elevations in feet. The data were classified as: 1 - Unclassified, 2 - Ground, 3 - Low Vegetation, 4 - Medium Vegetation, 5 - High Vegetation, 6 - Buildings, 7 - Low Noise, 9 - Water, 17 - Bridge Decks, 18 - High Noise, 20 - Ignored Ground. OCM processed all classifications of points to the Digital Coast Data Access Viewer (DAV). Classes available on the DAV are: 1, 2, 3, 4, 5, 6, 7, 9,17, 18, 20.
OCM performed the following processing on the data for Digital Coast storage and provisioning purposes:
1. Internal OCM scripts were run to check the number of points by classification and by flight ID and the gps, elevation, and intensity ranges.
2. Internal OCM scripts were run on the laz files to:
a. Convert from orthometric (NAVD88) elevations to NAD83 (2011) ellipsoid elevations using the Geoid18 model
b. Convert the laz files from CA State Plane Region 3 (NAD83 2011), US survey feet coordinates to geographic coordinates
c. Convert from vertical units of feet to vertical units of meters.
d. Filter points with elevation values less than -25 ft and greater than 5000 ft.
e. Filter points outside the geographic range of the bounding coordinates of -36.5, -122.5, 38, -121 degrees
f. Assign the geokeys, sort the data by gps time and zip the data to database and to http.
Organization
Office for Coastal Management
OCM
2234 South Hobson Avenue
Charleston
SC
29405-2413
https://www.coast.noaa.gov/
64806
Data Set
2020 Lidar DEM: Santa Clara County, CA
Cross Reference
gov.noaa.nmfs.inport:64802
Rebecca Mataosky
2021-06-17T18:10:43
SysAdmin InPortAdmin
2023-10-17T16:12:34
2022-03-16
OCM Partners
OCMP
1002
Public
No
2022-03-16
1 Year
2023-03-16