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Item Identification
Keywords
Physical Location
Data Set Info
Support Roles
Extents
Spatial Info
Access Info
Distribution Info
URLs
Tech Environment
Data Quality
Data Management
Lineage
Catalog Details

Summary

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Short Citation
OCM Partners, 2024: 2019 FEMA Lidar: Estrella, CA, https://www.fisheries.noaa.gov/inport/item/64364.
Full Citation Examples

Abstract

Product: Processed, classified lidar point cloud data tiles in LAS 1.4 format.

Geographic Extent: Approximately 994 square miles in the Estrella watershed basin area in central California.

Dataset Description: The CA FEMA R9 Estrella 2019 D20 lidar project called for the planning, acquisition, processing, and production of derivative products of QL2 lidar data to be collected at a nominal pulse spacing (NPS) of 0.71 meters. Project specifications were based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification, Version 2.1. The data was developed based on a horizontal datum/projection of NAD83 (2011) UTM Zone 10 meters and a vertical datum of NAVD88 (GEOID12B) meters. Lidar data was delivered as processed LAS 1.4 files formatted to 2,790 individual 1,000-meter x 1,000-meter tiles.

Ground Conditions: Lidar was collected December 15, 2019 through January 4, 2020 while no snow was on the ground and rivers were at or below normal levels. In order to post process the lidar data to meet task order specifications and meet ASPRS vertical accuracy guidelines, Woolpert established 12 ground control points that were used to calibrate the lidar to known ground locations established throughout the project area. An additional 112 independent accuracy checkpoints (62 NVA points and 50 VVA points), were collected and used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data.

NOAA OCM retrieved the data from the USGS rockyftp website and processed the laz files to the Digital Coast. Detailed steps may be found below in the processing steps section of this record.

Distribution Information

  • Create custom data files by choosing data area, product type, map projection, file format, datum, etc. A new metadata will be produced to reflect your request using this record as a base. Change to an orthometric vertical datum is one of the many options.

  • LAS/LAZ - LASer

    Bulk download of data files in LAZ format, geographic coordinates, orthometric heights. Note that the vertical datum (hence elevations) of the files here are different than described in this document. They will be in an orthometric datum.

Access Constraints:

None

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.

Controlled Theme Keywords

COASTAL BATHYMETRY, COASTAL ELEVATION, elevation, TERRAIN ELEVATION

Child Items

No Child Items for this record.

Contact Information

Point of Contact
NOAA Office for Coastal Management (NOAA/OCM)
coastal.info@noaa.gov
(843) 740-1202

Metadata Contact
NOAA Office for Coastal Management (NOAA/OCM)
coastal.info@noaa.gov
(843) 740-1202

Extents

Geographic Area 1

-120.712774° W, -119.868721° E, 36.010007° N, 35.129313° S

Time Frame 1
2019-12-15 - 2020-01-04

Item Identification

Title: 2019 FEMA Lidar: Estrella, CA
Status: Completed
Publication Date: 2020-08-28
Abstract:

Product: Processed, classified lidar point cloud data tiles in LAS 1.4 format.

Geographic Extent: Approximately 994 square miles in the Estrella watershed basin area in central California.

Dataset Description: The CA FEMA R9 Estrella 2019 D20 lidar project called for the planning, acquisition, processing, and production of derivative products of QL2 lidar data to be collected at a nominal pulse spacing (NPS) of 0.71 meters. Project specifications were based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification, Version 2.1. The data was developed based on a horizontal datum/projection of NAD83 (2011) UTM Zone 10 meters and a vertical datum of NAVD88 (GEOID12B) meters. Lidar data was delivered as processed LAS 1.4 files formatted to 2,790 individual 1,000-meter x 1,000-meter tiles.

Ground Conditions: Lidar was collected December 15, 2019 through January 4, 2020 while no snow was on the ground and rivers were at or below normal levels. In order to post process the lidar data to meet task order specifications and meet ASPRS vertical accuracy guidelines, Woolpert established 12 ground control points that were used to calibrate the lidar to known ground locations established throughout the project area. An additional 112 independent accuracy checkpoints (62 NVA points and 50 VVA points), were collected and used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data.

NOAA OCM retrieved the data from the USGS rockyftp website and processed the laz files to the Digital Coast. Detailed steps may be found below in the processing steps section of this record.

Purpose:

This project will support the 3DEP mission and the Federal Emergency Management Agency (FEMA) Risk Mapping, Assessment and Planning (MAP) program.

Supplemental Information:

USGS Contract No. G16PC00022, Task Order No. 140G0220F0005. Contractor: Woolpert. Sub-contractor: Aero-Graphics, Inc.

The following are the USGS lidar fields in JSON:

{

"ldrinfo" : {

"ldrspec" : "USGS NGP Base Specifications v2.1",

"ldrsens" : "Optech Galaxy Prime",

"ldrmaxnr" : "8",

"ldrnps" : "0.71",

"ldrdens" : "2.53",

"ldranps" : "0.71",

"ldradens" : "2.53",

"ldrfltht" : "1600",

"ldrfltsp" : "170",

"ldrscana" : "40",

"ldrscanr" : "69.5",

"ldrpulsr" : "300",

"ldrpulsd" : "3",

"ldrpulsw" : "0.5",

"ldrwavel" : "1064",

"ldrmpia" : "1",

"ldrbmdiv" : "0.25",

"ldrswatw" : "1165",

"ldrswato" : "30",

"ldrgeoid" : "GEOID12B"

},

"ldraccur" : {

"ldrchacc" : "0",

"rawnva" : "0",

"rawnvan" : "0"

},

"lasinfo" : {

"lasver" : "1.4",

"lasprf" : "6",

"laswheld" : "Geometrically unreliable points were identified using a combination of automated and manual techniques and subsequently classified as high or low noise and given the standard Withheld bit.",

"lasolap" : "Swath "overage" points were identified in these files using the standard LAS

overlap bit.",

"lasintr" : "16",

"lasclass" : {

"clascode" : "1",

"clasitem" : "Processed but not classified"

},

"lasclass" : {

"clascode" : "2",

"clasitem" : "Bare earth ground"

},

"lasclass" : {

"clascode" : "7",

"clasitem" : "Noise"

},

"lasclass" : {

"clascode" : "9",

"clasitem" : "Water"

},

"lasclass" : {

"clascode" : "17",

"clasitem" : "Bridge decks"

},

"lasclass" : {

"clascode" : "20",

"clasitem" : "Ignored ground"

}

}}

Keywords

Theme Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > OCEANS > BATHYMETRY/SEAFLOOR TOPOGRAPHY > BATHYMETRY > COASTAL BATHYMETRY
Global Change Master Directory (GCMD) Science Keywords
EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL ELEVATION
ISO 19115 Topic Category
elevation

Spatial Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Location Keywords
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA
Global Change Master Directory (GCMD) Location Keywords
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > CALIFORNIA
Global Change Master Directory (GCMD) Location Keywords
VERTICAL LOCATION > LAND SURFACE
Global Change Master Directory (GCMD) Location Keywords
VERTICAL LOCATION > SEA FLOOR
UNCONTROLLED
Global Change Master Directory (GCMD) Location Keywords Continent > North America > United States Of America > U.S. Coastline
None Continent > North America > United States Of America > California > Fresno County
None Continent > North America > United States Of America > California > Kern County
None Continent > North America > United States Of America > California > Kings County
None Continent > North America > United States Of America > California > Monterey County
None Continent > North America > United States Of America > California >San Benito County

Instrument Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Instrument Keywords
LIDAR > Light Detection and Ranging

Platform Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Platform Keywords
Airplane > Airplane

Physical Location

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

Data Set Information

Data Set Scope Code: Data Set
Data Set Type: Elevation
Maintenance Frequency: None Planned
Data Presentation Form: Model (digital)
Distribution Liability:

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

Data Set Credit: FEMA, USGS, Woolpert

Support Roles

Data Steward

CC ID: 1055301
Date Effective From: 2021
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: 1055300
Date Effective From: 2021
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: 1055302
Date Effective From: 2021
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: 1055303
Date Effective From: 2021
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

Extent Group 1

Extent Group 1 / Geographic Area 1

CC ID: 1145686
W° Bound: -120.712774
E° Bound: -119.868721
N° Bound: 36.010007
S° Bound: 35.129313

Extent Group 1 / Time Frame 1

CC ID: 1145685
Time Frame Type: Range
Start: 2019-12-15
End: 2020-01-04

Spatial Information

Spatial Resolution

Horizontal Distance: 0.71 Meter

Spatial Representation

Representations Used

Grid: No
Vector: Yes
Text / Table: No
TIN: No
Stereo Model: No
Video: No

Vector Representation 1

CC ID: 1055293
Point Object Present?: Yes
Point Object Count: 13457957832

Access Information

Security Class: Unclassified
Data Access Procedure:

Data is available online for bulk or custom downloads

Data Access Constraints:

None

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.

Distribution Information

Distribution 1

CC ID: 1055307
Start Date: 2021-03-15
End Date: Present
Download URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9263/details/9263
Distributor: NOAA Office for Coastal Management (NOAA/OCM) (2021 - Present)
File Name: Customized Download
Description:

Create custom data files by choosing data area, product type, map projection, file format, datum, etc. A new metadata will be produced to reflect your request using this record as a base. Change to an orthometric vertical datum is one of the many options.

File Type (Deprecated): Zip
Compression: Zip

Distribution 2

CC ID: 1055308
Start Date: 2021-03-15
End Date: Present
Download URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9263/index.html
Distributor: NOAA Office for Coastal Management (NOAA/OCM) (2021 - Present)
File Name: Bulk Download
Description:

Bulk download of data files in LAZ format, geographic coordinates, orthometric heights. Note that the vertical datum (hence elevations) of the files here are different than described in this document. They will be in an orthometric datum.

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

URLs

URL 1

CC ID: 1055295
URL: https://coast.noaa.gov/dataviewer/
Name: NOAA's Office for Coastal Management (OCM) Data Access Viewer (DAV)
URL Type:
Online Resource
File Resource Format: HTML
Description:

The Data Access Viewer (DAV) allows a user to search for and download elevation, imagery, and land cover data for the coastal U.S. and its territories. The data, hosted by the NOAA Office for Coastal Management, can be customized and requested for free download through a checkout interface. An email provides a link to the customized data, while the original data set is available through a link within the viewer.

URL 2

CC ID: 1055296
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9263/supplemental/extent_2019_CA_Estrelle_m9263.kmz
Name: Browse graphic
URL Type:
Browse Graphic
File Resource Format: KML
Description:

This graphic displays the footprint for this lidar data set.

URL 3

CC ID: 1055297
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9263/supplemental/CA_FEMA_R9_Estrella_2019_D20_Lidar_Report.pdf
Name: Dataset report
URL Type:
Online Resource
File Resource Format: PDF
Description:

Link to data set report.

URL 4

CC ID: 1055298
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9263/supplemental/USGS_CA_FEMAR9Estrella_2019_report_summary.pdf
Name: Dataset report
URL Type:
Online Resource
File Resource Format: PDF
Description:

Link to data set report.

URL 5

CC ID: 1055338
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9263/breaklines/
Name: Breaklines
URL Type:
Online Resource
File Resource Format: ZIP
Description:

Breaklines

URL 6

CC ID: 1069824
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9263/supplemental/CA_FEMAR9Estrella_2019_D20_WP_Report.pdf
Name: USGS Work Package Report
URL Type:
Online Resource
File Resource Format: pdf
Description:

Link to the USGS work package report that provides project information, vertical accuracy results, classifications used, sensors used, and work unit information.

Technical Environment

Description:

Microsoft Windows 10 Version 1803 (Build 17134.1304); ArcMap 10.7; ArcCatalog 10.7; TerraScan ver. 20; TerraModeler ver. 20; LP360 v2019.1.30.4.

Data Quality

Horizontal Positional Accuracy:

The data sets was produced to meet ASPRS “Positional Accuracy Standards for Digital Geospatial Data” (2014) for a 8.65 cm RMSEx / RMSEy Horizontal Accuracy Class which equates to Positional Horizontal Accuracy = +/- 21.2 cm at a 95% confidence level.

Vertical Positional Accuracy:

This data set was produced to meet ASPRS Positional Accuracy Standard for Digital Geospatial Data (2014) for a 10-cm RMSEz Vertical Accuracy Class.

USGS Determined Vertical Accuracy

Tested NVA = 6.24 cm at 95% Confidence Level (3.2 cm RMSE)

Tested VVA = 8.75 cm at 95th Percentile

Completeness Report:

These LAS data files include all data points collected. No points have been removed or excluded. A visual qualitative assessment was performed to ensure data completeness. No void areas or missing data exist.

Conceptual Consistency:

Data covers the entire area specified for this project.

Data Management

Have Resources for Management of these Data Been Identified?: Yes
Approximate Percentage of Budget for these Data Devoted to Data Management: Unknown
Do these Data Comply with the Data Access Directive?: Yes
Actual or Planned Long-Term Data Archive Location: NCEI-CO
How Will the Data Be Protected from Accidental or Malicious Modification or Deletion Prior to Receipt by the Archive?:

Data is backed up to tape and to cloud storage.

Lineage

Sources

Lidar

CC ID: 1145681
Contact Role Type: Originator
Contact Type: Organization
Contact Name: Woolpert

Process Steps

Process Step 1

CC ID: 1145682
Description:

Lidar Point Cloud Classification: The point cloud underwent a classification process to determine bare-earth points and non-ground points utilizing "first and only" as well as "last of many" lidar returns. This process determined Processed, but Unclassified (Class 1), Bare Earth Ground (Class 2), Low Noise (Class 7), Water (Class 9), Bridge Decks (Class 17), High Noise (Class 18), and Ignored Ground (Class 20). The bare-earth (Class 2 - Ground) lidar points underwent a manual QA/QC step to verify the quality of the DEM as well as a peer-based QC review. This included a review of the DEM surface to remove artifacts and ensure topographic quality. After the bare-earth surface is finalized, it is then used to generate all hydro-breaklines through a semi-automated process. All ground (Class 2) lidar data inside of the Lake Pond and Double Line Drain hydro flattening breaklines were then classified to water (Class 9) using TerraScan/LP360 macro functionality. A buffer of 0.7 meters was also used around each hydro-flattened feature to classify these ground (Class 2) points to Ignored Ground (Class 20). All Lake Pond Island and Double Line Drain Island features were checked to ensure that the ground (Class 2) points were reclassified to the correct classification after the automated classification was completed. All overlap data was processed through automated functionality provided by TerraScan to classify the overlapping flight line data to approved classes by USGS. The overlap data was classified using standard LAS overlap bit. These classes were created through automated processes only and were not verified for classification accuracy. Due to software limitations within TerraScan, these classes were used to trip the withheld bit within various software packages. These processes were reviewed and accepted by USGS through numerous conference calls and pilot study areas. All data was manually reviewed and any remaining artifacts removed using functionality provided by TerraScan and TerraModeler. Global Mapper was used as a final check of the bare earth dataset. GeoCue was then used to create the deliverable industry-standard LAS files. Woolpert proprietary software and LP360 was used to perform final statistical analysis of the classes in the LAS files, on a per tile level to verify final classification metrics and full LAS header information.

Process Date/Time: 2020-08-28 00:00:00

Process Step 2

CC ID: 1145683
Description:

NOAA OCM retrieved 2,790 laz files from the USGS rockyftp website for the FEMA Region 9 Estrella Project area. The files were in UTM Zone 11 N, NAD83(2011) coordinates in meters, and NAVD88, geoid 12B elevations in Meters. While the accompanying metadata listed lidar point classes available within the dataset as 1,2,7,9,17 & 20, OCM scripts found class 18 present as well. Classes available through the Digital Coast are: 1 - Unclassified, 2 - Bare Earth Ground, 7 - Low Noise, 9 - Water, 17 - Bridge Decks, 18 - High Noise, 20 - Ignored Ground.

OCM performed the following processing on the data for Digital Coast storage and provisioning purposes:

1. An internal OCM script was run to check the number of points by classification and by flight ID and the gps and intensity ranges.

2. Internal OCM scripts were run on the laz files to convert from orthometric (NAVD88) elevations to ellipsoid elevations using the Geoid 12B model, to convert to geographic coordinates, to assign the geokeys, to sort the data by gps time, and zip the data to database and to http. One point was found to have a height > 160,000m, this was clipped during processing.

Process Date/Time: 2021-03-15 00:00:00
Process Contact: Office for Coastal Management (OCM)

Catalog Details

Catalog Item ID: 64364
GUID: gov.noaa.nmfs.inport:64364
Metadata Record Created By: Blake Waring
Metadata Record Created: 2021-03-15 13:39+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