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Short Citation:
OCM Partners, 2024: 2010 U.S. Geological Survey (USGS) Topographic Lidar: Channel Islands, California,

Item Identification

Title: 2010 U.S. Geological Survey (USGS) Topographic Lidar: Channel Islands, California
Short Name: usgs2010_channel_islands_m1398_metadata
Status: Completed
Publication Date: 2012-10

Terrapoint collected LiDAR for 197 square miles covering five islands off the coast of Los Angeles, California. These islands are part of the

Channel Islands National Park and consists of San Miguel Island, Santa Rosa Island, Santa Cruz Island, Anacapa Island, and Santa Barbara Island.

The nominal pulse spacing for this project was better than 0.7 meters. This project was collected with a sensor which collects waveform data

and provides an intensity value for each discrete pulse extracted from the waveform. GPS Week Time, Intensity, Flightline and echo number

attributes were provided for each LiDAR point. Dewberry used proprietary procedures to classify the LAS according to USGS ARRA






10-Ignored Ground due to breakline proximity.

Dewberry produced 3D breaklines, seamless DSMs, and seamless hydro flattened DEMs for the 204 tiles (2000 m x 2000 m) that cover the project area.

Area mapped by island is as follows:

Santa Barbara Island-1 sq. mi.

Anacapa Island-1 sq. mi.

San Miguel Island-15 sq. mi.

Santa Rosa Island-83 sq. mi.

Santa Cruz Island-97 sq. mi.

Two UTM zones cover the Channel Islands. The islands delivered per each UTM zone are as follows (please note that Santa Rosa Island was delivered

in both UTM zone 10 and UTM zone 11):

UTM Zone 10:

Santa Rosa Island

San Miguel Island

UTM Zone 11:

Santa Barbara Island

Santa Rosa Island

Santa Cruz Island

Anacapa Island

The NOAA Office for Coastal Management received the data in UTM Zones 10 and 11. The data were converted to geographic coordinates and

from NAVD88 heights to ellipsoid heights using GEOID09. These files were converted for data storage and Digital Coast provisioning purposes.

Original contact information:

Contact Org: USGS


Phone: (573) 308-3612



The purpose of this LiDAR data was to produce high accuracy 3D elevation products, including tiled LiDAR in LAS 1.2 format, 3D breaklines,

1 m cell size hydro flattened Digital Elevation Models (DEMs), and 1 m cell size Digital Surface Models (DSMs).



Supplemental Information:

The final report for this data set may be accessed at:

The survey control report for this data set may be accessed at:

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


Theme Keywords

Thesaurus Keyword
ISO 19115 Topic Category

Physical Location

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

Data Set Information

Data Set Scope Code: Data Set
Maintenance Frequency: As Needed
Data Presentation Form: las
Entity Attribute Overview:

LiDAR points in LAS 1.2 format

Entity Attribute Detail Citation:


Distribution Liability:

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

Support Roles

Data Steward

CC ID: 691108
Date Effective From: 2012-10
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address:
Phone: (843) 740-1202


CC ID: 691110
Date Effective From: 2012-10
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address:
Phone: (843) 740-1202

Metadata Contact

CC ID: 691111
Date Effective From: 2012-10
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address:
Phone: (843) 740-1202

Point of Contact

CC ID: 691109
Date Effective From: 2012-10
Date Effective To:
Contact (Organization): NOAA Office for Coastal Management (NOAA/OCM)
Address: 2234 South Hobson Ave
Charleston, SC 29405-2413
Email Address:
Phone: (843) 740-1202


Currentness Reference: Ground Condition

Extent Group 1

Extent Group 1 / Geographic Area 1

CC ID: 1133087
W° Bound: -120.479098
E° Bound: -119.013085
N° Bound: 34.087167
S° Bound: 33.449425

Extent Group 1 / Time Frame 1

CC ID: 1133086
Time Frame Type: Range
Start: 2010-03-11
End: 2010-04-08

Spatial Information

Spatial Representation

Representations Used

Vector: Yes

Access Information

Security Class: Unclassified
Data Access Procedure:

This data can be obtained on-line at the following URL:


Data Access Constraints:


Data Use Constraints:

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. These data depict the heights at the time of the survey and are only accurate for that time.

Distribution Information

Distribution 1

CC ID: 743116
Download URL:
File Name: Customized Download

Create custom data files by choosing data area, product type, map projection, file format, datum, etc.

Distribution 2

CC ID: 743117
Download URL:
File Name: Bulk Download

Simple download of data files.



CC ID: 743119
URL Type:
Online Resource


CC ID: 743120
URL Type:
Online Resource

Activity Log

Activity Log 1

CC ID: 691136
Activity Date/Time: 2016-05-23

Date that the source FGDC record was last modified.

Activity Log 2

CC ID: 691135
Activity Date/Time: 2017-11-14

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

Activity Log 3

CC ID: 718721
Activity Date/Time: 2018-02-08

Partial upload of Positional Accuracy fields only.

Activity Log 4

CC ID: 743118
Activity Date/Time: 2018-03-13

Partial upload to move data access links to Distribution Info.

Technical Environment


Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 3; ESRI ArcCatalog

Data Quality

Horizontal Positional Accuracy:

Lidar source compiled to meet 1.07 m (3.5 ft) horizontal accuracy.

; Quantitative Value: 1.07 meters, Test that produced the value:

Dewberry does not perform independent horizontal accuracy testing on the LiDAR. LiDAR vendors perform

calibrations on the LiDAR sensor and compare data to adjoining flight lines to ensure LiDAR meets the 1.07 m (3.5 ft) horizontal accuracy standard at the

95% confidence level. The final report for this data set may be accessed at:

Vertical Positional Accuracy:

The vertical accuracy of the LiDAR was tested by Dewberry with 25 independent survey checkpoints. The survey checkpoints were distributed

throughout the project area. Due to the small area being mapped and the land cover of the islands, vertical accuracy was not tested for multiple

land cover types.

All checkpoints were used to compute the Consolidated Vertical Accuracy (CVA). Project specifications required a CVA of 30 cm (RMSEz 15 cm) at

the 95% confidence level based on FEMA and NSSDA methodology.

; Quantitative Value: 0.06 meters, Test that produced the value:

Based on the vertical accuracy testing conducted by Dewberry, using NSSDA and FEMA methodology, vertical accuracy at the 95% confidence level

(called Accuracyz) is computed by the formula RMSEz x 1.9600. The dataset for the USGS Channel Islands project satisfies the criteria:

Lidar dataset tested 0.06 m vertical accuracy at 95% confidence level for all land cover types, based on consolidated RMSEz (0.03 m) x 1.9600.

Completeness Report:

A visual qualitative assessment was performed to ensure data completeness and bare earth data cleanliness. No void or missing data,

the bare earth surface is of good quality and data passes vertical accuracy specifications.

Conceptual Consistency:

Data covers the tile scheme provided for the project area.


Process Steps

Process Step 1

CC ID: 1133082

Terrapoint used their latest helicopter-based LiDAR sensor. The Riegl LMS-Q560 helicopter-mounted system is designed specifically for small block

sites and corridor applications.

A combination of Sokkia GSR 2600 and NovAtel DL-4+ dual-frequency GPS receivers were used to support the airborne operations of this survey

and to establish the GPS control network.

Airborne GPS kinematic data was processed on-site using GrafNav kinematic On-The-Fly (OTF) software. Flights were flown with a minimum of 6

satellites in view (13o above the horizon) and with a PDOP of better than 4. Distances from base station to aircraft were kept to a maximum of 24 km.

For all flights, the GPS data can be classified as excellent, with GPS residuals of 3cm average or better but no larger than 10cm being recorded.

The initial step of calibration is to verify availability and status of all needed GPS and Laser data against field notes and compile any data if

not complete. Laser data points are generated using Terrapoint's proprietary laser post-processing software. This software combines the raw

laser range and angle data file with the finalized GPS/IMU information. The resulting point cloud has been projected into the desired coordinate

system in LAS binary format. All missions are validated against the adjoining missions for relative vertical biases and collected GPS kinematic

ground truthing points for absolute vertical accuracy purposes. On a project level, a coverage check is carried out to ensure no slivers are

present in areas where it was possible to acquire LiDAR at a safe AGL.

Process Date/Time: 2010-04-01 00:00:00

Process Step 2

CC ID: 1133083

Dewberry utilizes a variety of software suites for inventory management, classification, and data processing. All LiDAR related processes begin by

importing the data into the GeoCue task management software. GeoCue allows the data to retain its delivered tiling scheme (2000 m by 2000 m). The

tiled data is then opened in Terrascan where Dewberry uses proprietary ground classification routines to remove any non-ground points and generate an

accurate ground surface. The ground routine consists of three main parameters (building size, iteration angle, and iteration distance); by adjusting

these parameters and running several iterations of this routine an initial ground surface is developed. The building size parameter sets a roaming

window size. Each tile is loaded with neighboring points from adjacent tiles and the routine classifies the data section by section based on this

roaming window size. The second most important parameter is the maximum terrain angle, which sets the highest allowed terrain angle within the model.

Once the ground routine has been completed a manual quality control routine is done using hillshades, cross-sections, and profiles within the

Terrasolid software suite. After this QC step, a peer review and supervisor manual inspection is completed on a percentage of the classified tiles

based on the project size and variability of the terrain. After the ground classification corrections were completed, the dataset was processed

through a water classification routine that utilizes breaklines compiled by Dewberry to automatically classify hydrographic features. The water

classification routine selects ground points within the breakline polygons and automatically classifies them as class 9, water. During this water

classification routine, points which are in close proximity (2 ft) to the hydrographic features are moved to class 10, an ignored ground. In

addition to classes 1, 2, 9, and 10, St. Johns allows for a Class 7, noise points. This class was only used if needed when points could manually

be identified as low/high points.

The fully classified dataset is then processed through Dewberry's comprehensive quality control program.

The data were classified as follows:

Class 1 = Unclassified. This class includes vegetation, buildings, noise etc.

Class 2 = Ground

Class 7 = Noise

Class 9 = Water

Class 10= Ignored Ground

The LAS header information was verified to contain the following:

Class (Integer)

GPS Week Time (0.0001 seconds)

Easting (0.01 foot)

Northing (0.01 foot)

Elevation (0.01 foot)

Echo Number (Integer 1 to 4)

Echo (Integer 1 to 4)

Intensity (8 bit integer)

Flight Line (Integer)

Lidar Scan Angle (Integer degree)

Process Date/Time: 2010-09-01 00:00:00

Process Step 3

CC ID: 1133084

The NOAA Office for Coastal Management (OCM) received topographic files in LAS format. The files contained lidar elevation and intensity measurements.

The data were received in UTM Zones 10 and 11 (NAD83) coordinates and were vertically referenced to NAVD88 using the Geoid09 model. The vertical

units of the data were meters. OCM performed the following processing for data storage and Digital Coast provisioning purposes:

1. The topographic las files were converted from orthometric (NAVD88) heights to ellipsoidal heights using Geoid09.

Process Date/Time: 2012-10-01 00:00:00

Catalog Details

Catalog Item ID: 50117
GUID: gov.noaa.nmfs.inport:50117
Metadata Record Created By: Anne Ball
Metadata Record Created: 2017-11-15 15:24+0000
Metadata Record Last Modified By: SysAdmin InPortAdmin
Metadata Record Last Modified: 2022-08-09 17:11+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