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Short Citation:
OCM Partners, 2024: Sonoma County, CA, 2013 Lidar, https://www.fisheries.noaa.gov/inport/item/49613.

Item Identification

Title: Sonoma County, CA, 2013 Lidar
Short Name: 2013_Sonoma_CA_lidar_m4703_metadata
Status: Completed
Publication Date: 2014-10-24
Abstract:

Sonoma County Vegetation Mapping and LiDAR Consortium retained WSI to provide lidar and Orthophoto data and derived products in Sonoma County, CA. A classified LAS format point cloud was collected and developed. Products, such as bare earth DEMs, were derived from the lidar, but are not covered here. The original specified coordinate system for this dataset is California State Plane Zone II (FIPS 0402), NAD83 (2011), with units in US Survey Feet for horizontal, and vertical units are NAVD88 (12A) US Survey Feet. It was converted to geographic coordinates and ellipsoid heights for customized distribution through the Digital Coast. The dataset encompasses Sonoma County. The Bare earth DEMs are also available. 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, OCM or its partners. The data are available upon request via email at: coastal.info@noaa.gov.

Purpose:

The Sonoma County Vegetation Mapping and LiDAR Consortium (the Consortium), a group of public and private organizations, retained WSI to provide lidar and Orthophoto data and derived products in Sonoma County, and in the additions of Soda Spring Creek - Dry Creek Watershed and Lake Mendocino areas. The fine scale data collected by WSI for the Sonoma Vegetation Map Program can be used in further detailed classification of vegetation and other land cover types, depending on stakeholder interest and funding.

Notes:

10257

Supplemental Information:

A footprint of this data set may be viewed in Google Earth at:

https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/4703/supplemental/2013_Sonoma_County_Lidar.kmz.

Acquisition reports are available at: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/4703/supplemental/.

Keywords

Theme Keywords

Thesaurus Keyword
ISO 19115 Topic Category
elevation
UNCONTROLLED
None Bare-Earth
None Terrain

Temporal Keywords

Thesaurus Keyword
UNCONTROLLED
None 2013
None November
None October
None September

Stratum Keywords

Thesaurus Keyword
UNCONTROLLED
None Class 1: Unclassified
None Class 2: Ground
None Class 5: Vegetation
None Class 6: Buildings
None Class 7: Error Points (Noise)
None Class 9: Water

Physical Location

Organization: Office for Coastal Management
City: Charleston
State/Province: SC

Data Set Information

Data Set Scope Code: Data Set
Maintenance Frequency: None Planned
Distribution Liability:

This dataset was contracted by the Sonoma County Vegetation Mapping and LiDAR Consortium (the Consortium), a group of public and private organizations. It was made available to NOAA for public distribution. Information regarding the use of this dataset should be directed to the Consortium.

Data Set Credit: Sonoma County Vegetation Mapping and LiDAR Consortium; WSI

Support Roles

Data Steward

CC ID: 669884
Date Effective From: 2014-10-24
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202
URL: https://coast.noaa.gov

Distributor

CC ID: 669886
Date Effective From: 2014-10-24
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202
URL: https://coast.noaa.gov

Metadata Contact

CC ID: 669887
Date Effective From: 2014-10-24
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202
URL: https://coast.noaa.gov

Point of Contact

CC ID: 669885
Date Effective From: 2014-10-24
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address: coastal.info@noaa.gov
Phone: (843) 740-1202
URL: https://coast.noaa.gov

Extents

Currentness Reference: Ground Condition - Lidar: Leica ALS50 and Leica ALS70

Extent Group 1

Extent Group 1 / Geographic Area 1

CC ID: 1136123
W° Bound: -123.238581
E° Bound: -122.390681
N° Bound: 38.511668
S° Bound: 38.298129

Extent Group 1 / Time Frame 1

CC ID: 1136122
Time Frame Type: Range
Start: 2013-09-28
End: 2013-11-26

Spatial Information

Spatial Representation

Representations Used

Vector: Yes

Access Information

Security Class: Unclassified
Data Access Constraints:

None

Data Use Constraints:

This dataset was contracted by the Sonoma County Vegetation Mapping and LiDAR Consortium (the Consortium), a group of public and private organizations. This dataset may be available for public distribution, information regarding the use of this dataset should be directed to the Consortium.

Distribution Information

Distribution 1

CC ID: 859883
Start Date: 2018-01-03
End Date: Present
Download URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=4703
Distributor: NOAA Office for Coastal Management (NOAA/OCM) (2014-10-24 - Present)
Description:

Custom download tool

File Type (Deprecated): Zip
Compression: Zip

Distribution 2

CC ID: 713529
Start Date: 2018-01-01
End Date: Present
Download URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/4703/index.html
Distributor: NOAA Office for Coastal Management (NOAA/OCM) (2014-10-24 - Present)
Description:

Access to data and custom processing. Files are created based on user selections.

File Type (Deprecated): LAZ
Distribution Format: LAS/LAZ - LASer
Compression: Zip

URLs

URL 1

CC ID: 669880
URL: https://sonomavegmap.org/data-downloads/
Name: Sonoma County download page
URL Type:
Online Resource
Description:

Other data products associated with this data set, including DEM and contours.

URL 2

CC ID: 859885
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/4703/supplemental/Final_Data_Report_-_All_LiDAR_Deliveries.pdf
Name: Data Report
URL Type:
Online Resource
File Resource Format: pdf
Description:

Data report covering all deliveries.

URL 3

CC ID: 859886
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/4703/breaklines/index.html
Name: Breaklines directory
URL Type:
Online Resource
Description:

Directory containing breaklines for each data delivery.

URL 4

CC ID: 859887
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/4703/supplemental/2013_Sonoma_County_Lidar.kmz
Name: browse graphic
URL Type:
Browse Graphic
File Resource Format: kmz
Description:

Browse graphic

Activity Log

Activity Log 1

CC ID: 669916
Activity Date/Time: 2016-05-23
Description:

Date that the source FGDC record was last modified.

Activity Log 2

CC ID: 669915
Activity Date/Time: 2017-11-14
Description:

Converted from FGDC Content Standard for Digital Geospatial Metadata (version FGDC-STD-001-1998) using 'fgdc_to_inport_xml.pl' script. Contact Tyler Christensen (NOS) for details.

Data Quality

Completeness Report:

Lidar has been collected and processed for all areas within the project study Area. In some areas of heavy vegetation and forest cover, there may be relatively few ground points in the lidar data. Some elevation units have been interpolated across areas in the ground model where there are no elevation data (e.g., over water, over dense vegetation). TINing the points produces large triangles and hence the elevations may be less accurate within such areas. Some elevation units have been interpolated across areas in the ground model where there are no elevation data (e.g., over water, over dense vegetation).

Conceptual Consistency:

Lidar flight lines have been examined to ensure that there was at least 60% sidelap, there are no gaps between flightlines, and overlapping flightlines have consistent elevation values. Shaded relief images have been visually inspected for data errors such as pits, border artifacts, gaps, and shifting. The data were examined at a 1:3000 scale.

Lineage

Sources

Processed lidar point clouds

CC ID: 1136117
Contact Role Type: Originator
Contact Type: Organization
Contact Name: Sonoma County

Process Steps

Process Step 1

CC ID: 1136118
Description:

Acquisition.

Lidar data acquisition was started September 28, 2013 and was completed on November 26, 2013. The survey is utilizing a Leica ALS50 or ALS70 laser system mounted in a Piper Navajo PA-31-325 or Cessna Caravan 208B. Near nadir scan angles were used to increase penetration of vegetation to ground surfaces. Ground level GPS and aircraft IMU were collected during the flight.

Process Date/Time: 2014-01-24 00:00:00

Process Step 2

CC ID: 1136119
Description:

Lidar Data Processing.

Flight lines and data were reviewed to ensure complete coverage of the study area and positional accuracy of the laser points. Laser point return coordinates were computed using ALS Post Processor software and IPAS Pro GPS/INS software, based on independent data from the lidar system, IMU, and aircraft. The raw lidar file was assembled into flight lines per return with each point having an associated x, y, and z coordinate. Visual inspection of swath to swath laser point consistencies within the study area were used to perform manual refinements of system alignment. Custom algorithms were designed to evaluate points between adjacent flight lines. Automated system alignment was computed based upon randomly selected swath to swath accuracy measurements that consider elevation, slope, and intensities. Specifically, refinement in the combination of system pitch, roll and yaw offset parameters optimize internal consistency. Noise (e.g., pits and birds) was filtered using ALS post-processing software, based on known elevation ranges and included the removal of any cycle slips. Using TerraScan and MicroStation, ground classifications utilized custom settings appropriate to the study area. The corrected and filtered return points were compared to the RTK ground survey points collected to verify the vertical and horizontal accuracies.

Process Date/Time: 2014-01-24 00:00:00

Process Step 3

CC ID: 1136120
Description:

The lidar files were received by the NOAA Office for Coastal Management for incorporation into the NOAA Digital Coast from the Sonoma County Agricultural Preservation and Open Space District. The data consisted of 11035 lidar files in LAZ format. The data were in NAD 1983 (2011) State Plane California FIPS 0402 coordinates horizontally and NAVD88 (GEOID12a) feet vertically. The classifications of the data were: 1 (Unclassified), 2 (Ground), 5 (vegetation), 6 (building), 7 (Noise), and 9 (Water). For Digital Coast data storage and provisioning purposes, the NOAA Office of Coastal Management performed the following processing: 1) The data were reviewed for any elevation outliers; 2) The data were converted from State Plane coordinates to geographic coordinates; 3) The data were converted from NAVD88 elevations to ellipsoid elevations using Geoid12a; 4) File names were changed to incorporate the date of the first point in the file and the area designation. 5) 5 replacement files were processed on 4/18/2016.

Process Date/Time: 2014-05-13 00:00:00
Process Contact: NOAA Office for Coastal Management (NOAA/OCM)
Phone (Voice): (843) 740-1202
Email Address: coastal.info@noaa.gov
Source: Processed lidar point clouds

Child Items

Rubric scores updated every 15m

Rubric Score Type Title
Entity LAS

Related Items

Item Type Relationship Type Title
Data Set (DS) Cross Reference Sonoma County Hydro-flattened 2013 Bare Earth Ground Surface Model

Hydro-flattened DEM derived from this point cloud.

Catalog Details

Catalog Item ID: 49613
GUID: gov.noaa.nmfs.inport:49613
Metadata Record Created By: Anne Ball
Metadata Record Created: 2017-11-15 15:21+0000
Metadata Record Last Modified By: SysAdmin InPortAdmin
Metadata Record Last Modified: 2023-10-17 16:12+0000
Metadata Record Published: 2022-03-16
Owner Org: OCMP
Metadata Publication Status: Published Externally
Do Not Publish?: N
Metadata Last Review Date: 2022-03-16
Metadata Review Frequency: 1 Year
Metadata Next Review Date: 2023-03-16