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Short Citation:
OCM Partners, 2023: 2007 USGS Lidar: Canyon Fire (CA),

Item Identification

Title: 2007 USGS Lidar: Canyon Fire (CA)
Short Name: ca2007_usgs_canyon_fire_m5028_metadata
Status: Completed
Publication Date: 2013-01

This Southern California Light Detection and Ranging (LiDAR) data is to provide high accuracy LIDAR data. These datasets will be the initial acquisition to support FEMA and other Federal Response to the Southern California Wild Fires.

LIDAR data is remotely sensed high-resolution elevation data collected by an airborne collection platform. By positioning laser range finding with the use of 1 second GPS with 100hz inertial measurement unit corrections; Terrapoint's LIDAR instruments are able to make highly detailed geospatial elevation products of the ground, man-made structures and vegetation. The LiDAR flightlines for this project were planned for a 55% acquisition overlap. The nominal resolution of this project without overlap is 0.57m. Four returns were recorded for each pulse in addition to an intensity value. GPS Week Time, Intensity, Flightline and number attributes were recorded for each LiDAR point. Positional values were recorded to the centimeter level, while GPS is recorded to a 10th of a millisecond. Scan angle was recorded to the nearest angle, Intensity is recorded as an 8 Bit integer value and echo is recorded as an integer valuefrom 1 to 4.

Data is provided as random points, in LAS v1.2 format, classified according to the following ASPRS Class Codes:

Class 1 Unclassified

Class 2 Ground

Class 7 Noise

Class 9 Water

Please note all LiDAR points outside of the task order area was classified as Unclassified (Class 1).


This data was collected to support emergency relief for the wildfires in the Canyon (47.7 square kilometers), in Southern California, December, 2007



Supplemental Information:

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


Theme Keywords

Thesaurus Keyword
ISO 19115 Topic Category

Spatial Keywords

Thesaurus Keyword
US DOC, 1987, Codes for Identification of the States, Wash, DC and outlying areas of US and associated areas, Fed Info Processing Standard (FIPS) 5-2: Wash, DC, NIST. California
US DOC, 1995, Countries, dependencies, areas of special sovereignty, and their principal admin divisions, Fed Info Processing Standard (FIPS) 10-4: Wash DC, NIST. US

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 Northrop Grumman, USGS, the Office for Coastal Management or its partners.

Data Set Credit: U.S. Geological Survey

Support Roles

Data Steward

CC ID: 670855
Date Effective From: 2013-01
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: 670857
Date Effective From: 2013-01
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: 670858
Date Effective From: 2013-01
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: 670856
Date Effective From: 2013-01
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: 1137770
W° Bound: -118.777719
E° Bound: -118.764501
N° Bound: 34.040941
S° Bound: 34.029936

Extent Group 1 / Time Frame 1

CC ID: 1137769
Time Frame Type: Discrete
Start: 2007-12-02

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: 740483
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: 740484
Download URL:
File Name: Bulk Download

Simple download of data files.



CC ID: 740486
URL Type:
Online Resource


CC ID: 740487
URL Type:
Online Resource


CC ID: 740488
Name: Browse Graphic
URL Type:
Browse Graphic
File Resource Format: kmz

This graphic shows the lidar coverage of the canyon fire area in California from 2007.

Activity Log

Activity Log 1

CC ID: 670873
Activity Date/Time: 2017-03-20

Date that the source FGDC record was last modified.

Activity Log 2

CC ID: 670872
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: 718181
Activity Date/Time: 2018-02-08

Partial upload of Positional Accuracy fields only.

Activity Log 4

CC ID: 740485
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


According to Terrapoint standards; the following aspects of

the LiDAR data was verified during the course of the

project processing:

-Data accuracy and errors

-Anomaly checks through full-feature hillshades

-Post automated classification Bare-earth verification

-Final quality control of deliverable products ensuring

integrity, graphical quality

Horizontal Positional Accuracy:

Compiled to meet 1 meter horizontal accuracy at the 95 percent confidence level

Vertical Positional Accuracy:

Independent accuracy testing was performed by Dewberry using 8 high accuracy quality control checkpoints distributed throughout the project on near level open bare terrain, gravel roads, concrete pads, roads, parking lots. Dewberry used testing procedures consistent with those specified in the National Standard for Spatial Data Accuracy (NSSDA) resulting in a tested accuracy of 0.072 m at 95 percent confidence level. Terrapoint conducted a primary internal check that gave a vertical accuracy of 0.149 meters at 95 percent confidence level. ; Quantitative Value: 0.072 meters, Test that produced the value: This LiDAR dataset was tested to have an RMSEz of 0.072 m (calculated from a Fundamental Vertical Accuracy at 95 percent confidence).

Consolidated Vertical Accuracy of 0.705 m (RMSEz (0.036 m) x 1.9600).

Completeness Report:

According to Terrapoint standards, data completeness and integrity was verified.

Conformance to Terrapoint standards are met for all delivered products.

Conceptual Consistency:

All LAS formatted LIDAR data are validated to ensure that data on delivery media is in correct physical format and is readable and correctly georeferenced and projected. Note that LiDAR intensity is not calibrated or normalized.


Process Steps

Process Step 1

CC ID: 1137765

- Airborne GPS Kinematic

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 3.5. Distances from base station to aircraft (differential baselines) were kept to a maximum of 30 km while the mean is 6.8 km, to ensure a strong OTF (On-The-Fly) solution. For all flights, the GPS data can be classified as excellent, with GPS residuals of 5cm average but no larger than10 cm being recorded.

- Generation and Calibration of laser points (raw data) 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. Subsequently the mission points are output using Optech's Dashmap, initially with default values from Optech or the last mission calibrated for system. The initial point generation for each mission calibration is verified within Microstation/Terrascan for calibration errors. If a calibration error greater than specification is observed within the mission, the roll pitch and scanner scale corrections that need to be applied are calculated. The missions with the new calibration values are regenerated and validated internally once again to ensure quality. 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.

Process Date/Time: 2007-12-01 00:00:00

Process Step 2

CC ID: 1137766

- Data Classification and Editing

The data was processed using the software TerraScan, and following the methodology described herein. The initial step is the setup of the TerraScan project, which is done by importing client provided tile boundary index (converted to the native UTM zone for processing)encompassing the entire project areas. The 3D laser point clouds, in binary format, were imported into the TerraScan project and divided in 495 USGS DOQQ derived tiles in LAS 1.0 format. Once tiled, the laser points were classified using a proprietary

routine in TerraScan. This routine removes any obvious outliers from the dataset following which the ground layer is extracted from the oint cloud. The ground extraction process encompassed in this routine takes place by building an iterative surface model. This surface model is generated using three main parameters: building size, iteration angle and iteration distance. The initial model is

based on low points being selected by a "roaming window" with the assumption is that these are the ground points. The size of this roaming window is determined by the building size parameter.

The low points are triangulated and the remaining points are evaluated and subsequently added to the model if they meet the iteration

angle and distance constraints. This process is repeated until no additional points are added within an iteration. A second critical parameter is the maximum terrain angle constraint, which determines the maximum terrain angle allowed within the classification model. The data is then manually quality controlled with the use of hillshading, cross-sections and profiles. Any points found to be of class vegetation, building or error during the quality control process, are removed from the ground model and placed on the appropriate layer. An integrity check is also performed simultaneously to verify that ground features such as rock cuts, elevated roads and crests are present. Once data has been cleaned and complete, it is then by a supervisor via manual inspection and through the use of a hillshade mosaic of the entire project area.

- Deliverable Product Generation

>Deliverable Tiling Scheme

All files were converted to LAS 1.1, in the specified projection and units and were delivered in the client provided tiling scheme with a total of 128 tiles.

>LAS 1.1 Files

LiDAR point data in LAS 1.1

ASPRS classfication scheme

Class 1 Non-ground

Class 2 Ground

Class 7 Noise

Class 9 Water

Contains the following fields of information: Class, GPS WeekTime, Easting, Northing, Elevation, Echo Number, Echo, Intensity, Flightline, Scan Angle

All points outside project area were assigned to Class 1 - Non-Ground (Unclassified).

Process Date/Time: 2007-12-01 00:00:00

Process Step 3

CC ID: 1137767

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 NAD83 UTM Zone 15 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 LAS files were converted from orthometric (NAVD88) heights to ellipsoidal heights using Geoid03.

2. The LAS files were converted from UTM Zone 11 (meters) to Geographic coordinates (decimal degrees).

3. The LAS files were converted to Adjusted GPS time rather than the delivered GPS week seconds (1457).

Process Date/Time: 2016-03-20 00:00:00

Catalog Details

Catalog Item ID: 49639
GUID: gov.noaa.nmfs.inport:49639
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: 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