Slide Menu
Search Help Show/Hide Menu
Short Citation:
OCM Partners, 2023: 2013 Pacific Gas and Electric Diablo Canyon Power Plant (DCPP): San Simeon, CA Central Coast,

Item Identification

Title: 2013 Pacific Gas and Electric Diablo Canyon Power Plant (DCPP): San Simeon, CA Central Coast
Short Name: ca2013_pge_dcpp_san_simeon_m3652_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), Los Osos (2011), and San Simeon (2013). The DCPP San Simeon project study area is located primarily in San Luis Obispo County, California, encompasses approximately 195,000 acres (801 km2), and measures 75 miles in length. Watershed Sciences, Inc. (WSI) collected Light Detection and Ranging (LiDAR) data and orthophotography across the DCPP San Simeon survey area from 29 January 2013 to 25 February 2013. For optimal capture of the intertidal zone, WSI acquired LiDAR data of the coastline during seasonal low tides between 7 February 2013 and 10 February 2013. The LiDAR survey utilized a Leica ALS70 sensor in a Cessna Caravan, and an Optech Orion sensor in a Bell Long Ranger. The Leica system was used for acquisition of the inland portion of the study area. It was set to acquire 240,000 laser pulses per second (i.e., 240 kHz pulse rate) and flown at 1,100 meters above ground level (AGL), capturing a scan angle of +/- 15 degrees from nadir. The Orion system was used to acquire the intertidal portion of the study area. It was set to acquire 175,000 laser pulses per second and flown at 300 meters AGL; capturing a scan angle of +/- 13 degrees from nadir. Both laser systems were programmed to yield an average native pulse density of more than 8 pulses per sq meter over terrestrial surfaces. Digital orthophotos were collected using a 260 megapixel ultra large format digital aerial camera. Image radiometric values were calibrated to specific gain and exposure settings associated with each capture using Microsoft's UltraMap software suite. The calibrated images were saved in TIFF format for input to subsequent processes. Photo position and orientation were calculated by linking the time of image capture, the corresponding aircraft position and attitude, and the smoothed best estimate of trajectory (SBET) data in POSPAC. Within the Inpho software suite, automated aerial triangulation was performed to tie images together and to align with ground control. The orthophotos were delivered in 0.375 USGS tiles with a 3 inch pixel resolution. This survey was flown in conjunction with the DCPP Senior Seismic Hazard Analysis Committee (SSHAC) Level 3 process and as part of the DCPP Long-Term Seismic Program (LTSP). In addition to aerial LiDAR data, DEM and orthophotography raster data are available for this area: San Simeon DEMs and Orthophotos.


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 PG&E 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, 5 - high vegetation (above 8 ft)

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, PG&E, Diablo Canyon Power Plant,, NOAA, the Office for Coastal Management or its partners.

Data Set Credit: Acknowledgement of the PG&E would be appreciated in products derived from these data.

Support Roles

Data Steward

CC ID: 671270
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: 671272
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: 671273
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: 671271
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: 1135524
W° Bound: -121.41154597
E° Bound: -120.40001924
N° Bound: 35.875414528
S° Bound: 35.117630114

Extent Group 1 / Time Frame 1

CC ID: 1135523
Time Frame Type: Range
Start: 2013-02-07
End: 2013-02-25

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: 740549
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: 740550
Download URL:
File Name: Bulk Download

Simple download of data files.



CC ID: 740552
URL Type:
Online Resource


CC ID: 740553
URL Type:
Online Resource


CC ID: 740554
Name: Browse Graphic
URL Type:
Browse Graphic
File Resource Format: kmz

This graphic shows the lidar coverage for the 2013 San Simeon project areas in San Luis Obispo and Monterey County in California

Activity Log

Activity Log 1

CC ID: 671292
Activity Date/Time: 2016-05-23

Date that the source FGDC record was last modified.

Activity Log 2

CC ID: 671291
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: 718193
Activity Date/Time: 2018-02-08

Partial upload of Positional Accuracy fields only.

Activity Log 4

CC ID: 740551
Activity Date/Time: 2018-03-13

Partial upload to move data access links to Distribution Info.

Data Quality

Horizontal Positional Accuracy:

The coverage features horizontal positional accuracy and the assurance of that accuracy depend, in part, on the accuracy of the data inputs to the coverage and the tolerances of the coverage itself. The input is the photogrammetrically compiled vectors in Microstation design files (.dgn). The coverage model is created from an Arc Macro Language (AML) routine that follows the database design for precision, fuzzy tolerance, dangle tolerance, weed tolerance, grain tolerance, and projection parameters.; Quantitative Value: 0.762 meters, Test that produced the value: Horizontal accuracy was tested by comparing the raw contours from each flightline against adjoining flightlines at specific points.

Vertical Positional Accuracy:

RMSE for Z = 0.026 m. The absolute vertical accuracy (RMSE) for the DCCP San Simeon survey is 2.6 cm and was calculated with an RTK sample six of 1,181 GCPs spread throughout the study area.; Quantitative Value: 0.026 meters, Test that produced the value: Vertical absolute accuracy was primarily assessed from ground check points on open, bare earth surfaces with level slope. These check points enabled an effective assessment of swath-to-swath reproducibility and fundamental vertical accuracy. For the DCCP San Simeon LiDAR survey, 1,181 RTK points were collected in total. For this project, no independent survey data were collected, nor were reserved points collected for testing. As such, vertical accuracy statistics are reported as 'Compiled to Meet', in accordance with the ASPRS Guidelines for Vertical Accuracy Reporting for LiDAR Data V1.0 (ASPRS, 2004).

Completeness Report:


Conceptual Consistency:




Technical Data Report

CC ID: 1135519
Publish Date: 2013-03-27
Extent Type: Discrete
Extent Start Date/Time: 2003-05-28
Source Contribution:

Survey data for aerotriangulation and data quality control performed by Tucker & Associates: Surveying and Mapping of Calistoga, CA 94515 | Source Geospatial Form: model | Type of Source Media: HDD

Process Steps

Process Step 1

CC ID: 1135520

Classify ground-level features and create the ground model.

After the ground model has been created and examined for correctness, vegetation points above 8 feet are then classified using a combination of automated and manual techniques.

Once vegetation is classified in the LiDAR point cloud, automated techniques are used to delineate individual units of vegetation. These automated techniques utilize the unique point geometry of vegetation to segment the individual units of vegetation and create crown polygons representing them.

The polygons representing individual units of vegetation (crown) are then aggregated with adjacent polygons to produce polygons representing stands.

Classify remaining points as default and check for accuracy before finalizing the point classification portion of the project.

Process Step 2

CC ID: 1135521

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 12A.

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

Process Date/Time: 2014-05-01 00:00:00

Catalog Details

Catalog Item ID: 49650
GUID: gov.noaa.nmfs.inport:49650
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