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OCM Partners, 2023: 2010 Pacific Gas and Electric Diablo Canyon Power Plant (DCPP): Diablo Canyon, CA Central Coast,

Item Identification

Title: 2010 Pacific Gas and Electric Diablo Canyon Power Plant (DCPP): Diablo Canyon, CA Central Coast
Short Name: ca2010_pge_dcpp_diablo_canyon_m3650_metadata
Status: Completed
Publication Date: 2014-05-19

The Diablo Canyon Power Plant (DCPP) LiDAR and Imagery datasets are comprised of three separate LiDAR surveys: Diablo Canyon (2010), Diablo Canyon (2010), and San Simeon (2013).

The Diablo Canyon project study is located in San Luis Obispo County, California, and encompasses approximately 10,634 acres (43.03 square kilometers). Watershed Sciences, Inc. (WSI) collected Light Detection and Ranging (LiDAR) data on both the inland and intertidal land within the Diablo Canyon study area on 28 January 2010. For optimal capture of the intertidal zone, WSI acquired LiDAR data of the coastline during seasonal low tides (between 0.0 ft and peak low of around 1.5 ft) and in conjunction with a PDOP value of less than 3.0.

This LiDAR survey utilized a Leica ALS50 Phase II laser system. The sensor scan angle was +/- 13 from nadir with a pulse rate designed to yield an average native density of more than 8 pulses per square meter over terrestrial surfaces. The area of interest was surveyed with an opposing flight line side-lap of equal-to-or-more-than 50% (equal-to-or-more-than 100% overlap) to reduce laser shadowing and increase surface laser painting.


This survey was flown as part of the DCPP Long-Term Seismic Program (LTSP)



Supplemental Information:

Pacific Gas and Electric Company shall not be held liable for improper or incorrect use of these data. Data and related graphics (e.g., GIF or JPG format files) are not legal documents and are not intended to be used as such. The information contained in the data is dynamic and may change over time. The data are not better than the original sources from which they were derived. It is the responsibility of the data user to use the data appropriately and consistently within the limitations of geospatial data in general and these data in particular. The related graphics are intended to aid the data user in acquiring relevant data; it is not appropriate to use the related graphics as data. PG&E gives no warranty, expressed or implied, as to the accuracy, reliability, or completeness of these data. It is strongly recommended that these data are directly acquired from PG&E and not indirectly through other sources which may have changed the data in some way. Although these data have been processed successfully on computer systems by Pacific Gas and Electric and its authorized representatives, no warranty expressed or implied is made regarding the utility of the data on other systems for general or scientific purposes, nor shall the act of distribution constitute any such warranty. This disclaimer applies both to individual use of the data and aggregate use with other data.

A report for this project is available at:

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


Theme Keywords

Thesaurus Keyword
ISO 19115 Topic Category
None Surface
None Terrain

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
Entity Attribute Overview:

The lidar classification are stored in LAZ format.: 1 - unclassified, 2 - ground

Entity Attribute Detail Citation:

All deliverables meet specifications in contract. LAS Files meet ASPRS Classification Standards

Distribution Liability:

Any conclusions drawn from the analysis of this information are not the responsibility of Watershed Sciences Inc, PGandE, Diablo Canyon Power Plant,, NOAA, the Office for Coastal Management or its partners.

Data Set Credit: Acknowledgement of the Pacific Gas and Electric would be appreciated in products derived from these data.

Support Roles

Data Steward

CC ID: 670968
Date Effective From: 2014-05-19
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: 670970
Date Effective From: 2014-05-19
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: 670971
Date Effective From: 2014-05-19
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: 670969
Date Effective From: 2014-05-19
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: Publication Date

Extent Group 1

Extent Group 1 / Geographic Area 1

CC ID: 1135506
W° Bound: -120.88968525
E° Bound: -120.41361608
N° Bound: 35.37387188
S° Bound: 34.99532951

Extent Group 1 / Time Frame 1

CC ID: 1135505
Time Frame Type: Discrete
Start: 2010-01-28

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:

The data set is dynamically generated based on user-specified parameters.;

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: 740501
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: 740502
Download URL:
File Name: Bulk Download

Simple download of data files.



CC ID: 740504
URL Type:
Online Resource


CC ID: 740505
URL Type:
Online Resource


CC ID: 740506
Name: Browse Graphic
URL Type:
Browse Graphic
File Resource Format: kmz

This graphic shows the lidar coverage for the 2010 Diablo Canyon project areas in San Luis Obispo in California

Activity Log

Activity Log 1

CC ID: 670988
Activity Date/Time: 2016-05-23

Date that the source FGDC record was last modified.

Activity Log 2

CC ID: 670987
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: 718185
Activity Date/Time: 2018-02-08

Partial upload of Positional Accuracy fields only.

Activity Log 4

CC ID: 740503
Activity Date/Time: 2018-03-13

Partial upload to move data access links to Distribution Info.

Data Quality

Horizontal Positional Accuracy:

Our LiDAR quality assurance process uses the data from the RTK ground survey conducted in the study area. In this project, a total of 129 RTK GPS measurements were collected on hard, bare earth surfaces (e.g. asphalt) distributed among multiple flight swaths. To assess absolute accuracy, we compared the location coordinates of these known RTK ground survey points to those calculated for the closest laser points.; Quantitative Value: 100 meters, Test that produced the value: Horizontal accuracy was tested by comparing the raw contours from each flightline against adjoining flightlines at specific points but was not tested against RTK.

Vertical Positional Accuracy:

The vertical accuracy of the LiDAR data is described as the mean and standard deviation (sigma) of divergence of LiDAR point coordinates from RTK ground survey point coordinates. To provide a sense of the model predictive power of the dataset, the root mean square error (RMSE) for vertical accuracy is also provided. These statistics assume the error distributions for x, y, and z are normally distributed, thus we also consider the skew and kurtosis of distributions when evaluating error statistics. Statements of statistical accuracy apply to fixed terrestrial surfaces only.; Quantitative Value: 0.04 meters, Test that produced the value: Tested RMSE for Z = 4.0 cm. Relative accuracies for the intertidal land within the Diablo Canyon study area: Project Average = 0.054 cm; Median Relative Accuracy = 0.044 cm; 1 sigma Relative Accuracy = 0.058 cm; 2 sigma Relative Accuracy = 0.111 cm

Completeness Report:


Conceptual Consistency:




Technical Data Report

CC ID: 1135501
Publish Date: 2013-05-03
Extent Type: Discrete
Extent Start Date/Time: 2010-01-28
Source Contribution:

Survey data for aerotriangulation and data quality control performed by Jeff Little of Tetra Tech in California. | Source Geospatial Form: model | Type of Source Media: HDD

Process Steps

Process Step 1

CC ID: 1135502

1. Resolved kinematic corrections for aircraft position data using kinematic aircraft GPS and static ground GPS data.

Software: Waypoint GPS v.8.10, Trimble Geomatics Office v.1.62

2. Developed a smoothed best estimate of trajectory (SBET) file that blends post-processed aircraft position with attitude data Sensor head position and attitude were calculated throughout the survey. The SBET data were used extensively for laser point processing.

Software: IPAS v.1.35

3. Calculated laser point position by associating SBET position to each laser point return time, scan angle, intensity, etc. Created raw laser point cloud data for the entire survey in *.las (ASPRS v. 1.2) format.

Software: ALS Post Processing Software v.2.7

4. Imported raw laser points into manageable blocks (less than 500 MB) to perform manual relative accuracy calibration and filter for pits/birds. Ground points were then classified for individual flight lines (to be used for relative accuracy testing and calibration).

Software: TerraScan v.9.017

5. Using ground classified points per each flight line, the relative accuracy was tested.

Automated line-to-line calibrations were then performed for system attitude parameters (pitch, roll, heading), mirror flex (scale) and GPS/IMU drift. Calibrations were performed on ground classified points from paired flight lines. Every flight line was used for relative accuracy calibration.

Software: TerraMatch v.9.004

6. Position and attitude data were imported. Resulting data were classified as ground and non-ground points. Statistical absolute accuracy was assessed via direct comparisons of ground classified points to ground RTK survey data. Data were then converted to orthometric elevations (NAVD88) by applying a Geoid03 correction. Ground models were created as a triangulated surface and exported as ArcInfo ASCII grids at a three-foot pixel resolution.

Software: TerraScan v.9.017, ArcMap v. 9.3.1, TerraModeler v.9.003

Process Step 2

CC ID: 1135503

The NOAA Office for Coastal Management (OCM) received the files in laz format via download from the OpenTopography online repository. The files contained lidar elevation and intensity measurements. The data were in UTM Zone 10, NAVD88 (orthometric) heights in feet. OCM performed the following processing for data storage and Digital Coast provisioning purposes:

1. The data were converted from UTM 10 coordinates to geographic coordinates.

2. The data were converted from NAVD88 (orthometric) heights in feet to GRS80 (ellipsoid) heights in meters using Geoid 03.

3. The LAS data were sorted by latitude and the headers were updated.

Process Date/Time: 2014-05-02 00:00:00

Catalog Details

Catalog Item ID: 49642
GUID: gov.noaa.nmfs.inport:49642
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