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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
Related Items
Catalog Details

Summary

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Short Citation
OCM Partners, 2024: 2018 FEMA Lidar: Region 9, CA, https://www.fisheries.noaa.gov/inport/item/64466.
Full Citation Examples

Abstract

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

Geographic Extent: Approximately 10,547 square miles across 6 AOIs in California.

Dataset Description: The CA-AZ FEMA R9 Lidar lidar project called for the planning, acquisition, processing, and production of derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.7 meters. Project specifications were based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification, Version 1.2. The data was developed based on a horizontal datum/projection of NAD83 (2011) State Plane California I & IV (FIPS Zone 0401 & 0404), US Survey Feet, and a vertical datum of NAVD88 (GEOID12B), US Survey Feet. Lidar data was delivered as processed LAS 1.4 files formatted to 10,516 individual 4,500-feet x 4,500-feet tiles.

Ground Conditions: Lidar was collected in 2018 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 148 ground control points across all California AOIs that were used to calibrate the lidar to known ground locations established throughout the project area. An additional 258 independent accuracy checkpoints (145 NVA points and 113 VVA points), were collected across all California AOIs and used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data.

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

-123.00562° W, -120.19359° E, 41.6482° N, 34.9635° S

Time Frame 1
2018-01-22 - 2018-04-21

See Project Report for individual AOI collection dates.

Item Identification

Title: 2018 FEMA Lidar: Region 9, CA
Status: Completed
Publication Date: 2019-03-14
Abstract:

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

Geographic Extent: Approximately 10,547 square miles across 6 AOIs in California.

Dataset Description: The CA-AZ FEMA R9 Lidar lidar project called for the planning, acquisition, processing, and production of derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.7 meters. Project specifications were based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification, Version 1.2. The data was developed based on a horizontal datum/projection of NAD83 (2011) State Plane California I & IV (FIPS Zone 0401 & 0404), US Survey Feet, and a vertical datum of NAVD88 (GEOID12B), US Survey Feet. Lidar data was delivered as processed LAS 1.4 files formatted to 10,516 individual 4,500-feet x 4,500-feet tiles.

Ground Conditions: Lidar was collected in 2018 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 148 ground control points across all California AOIs that were used to calibrate the lidar to known ground locations established throughout the project area. An additional 258 independent accuracy checkpoints (145 NVA points and 113 VVA points), were collected across all California AOIs and used to assess the vertical accuracy of the data. These checkpoints were not used to calibrate or post process the data.

Purpose:

High quality elevation data products are critical for riverine floodplain study and mapping for the National Flood Insurance Program. This acquisition allows FEMA Region IX to produce floodplain analysis where it is needed, to provide updates to flood insurance rate maps, and to produce floodplain administration decision support tools.

FEMA, in administration of the National Flood Insurance Program and under FEMAs Risk Mapping Assessment and Planning (Risk MAP) program, orders these elevation products to meet or exceed the quality specifications published by the US Geological Survey for acceptance into the 3-D Elevation Program (3-DEP). Data of this quality is interpreted as sufficient for floodplain engineering studies, analysis, and mapping of flood hazard.

Supplemental Information:

USGS Contract No. G16PC00022 Task Order No. 140G0218F0027. CONTRACTOR: Woolpert. Sub-Contractors: Aerial Services, Inc. (ASI), Aero-Graphics, Keystone Aerial Surveys.

The following are the USGS lidar fields in JSON:

{

"ldrinfo" : {

"ldrspec" : "USGS NGP Base Specifications v1.2",

"ldrsens" : "Optech ALTM Orion H300 (Aero-Graphics)",

"ldrmaxnr" : "4",

"ldrnps" : "2.03",

"ldrdens" : "0.7",

"ldranps" : "2.03",

"ldradens" : "0.7",

"ldrfltht" : "1800",

"ldrfltsp" : "110",

"ldrscana" : "29",

"ldrscanr" : "40.3",

"ldrpulsr" : "125",

"ldrpulsd" : "3",

"ldrpulsw" : "0.9",

"ldrwavel" : "1064",

"ldrmpia" : "1",

"ldrbmdiv" : "0.25",

"ldrswatw" : "931",

"ldrswato" : "30",

"ldrgeoid" : "GEOID12B"

},

"ldraccur" : {

"ldrchacc" : "0",

"rawnva" : "0",

"rawnvan" : "0",

"clsnva" : "0",

"clsnvan" : "0",

"clsvva" : "0",

"clsvvan" : "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" : "10",

"clasitem" : "Ignored ground"

},

"lasclass" : {

"clascode" : "17",

"clasitem" : "Bridge Decks"

},

"lasclass" : {

"clascode" : "18",

"clasitem" : "High Noise"

}

}}

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 > California > U.S. Coastline
Global Change Master Directory (GCMD) Location Keywords United States
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: 1056357
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: 1056356
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: 1056358
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: 1056359
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: 1145710
W° Bound: -123.00562
E° Bound: -120.19359
N° Bound: 41.6482
S° Bound: 34.9635

Extent Group 1 / Time Frame 1

CC ID: 1145709
Time Frame Type: Range
Start: 2018-01-22
End: 2018-04-21
Description:

See Project Report for individual AOI collection dates.

Spatial Information

Spatial Representation

Representations Used

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

Vector Representation 1

CC ID: 1056350
Point Object Present?: Yes
Point Object Count: 108330795146

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: 1056363
Start Date: 2021-03-30
End Date: Present
Download URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9269/details/9269
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: 1056364
Start Date: 2021-03-30
End Date: Present
Download URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9269/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: 1056352
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: 1056353
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9269/supplemental/extent_femaR9_CA_2018m9269.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: 1056354
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9269/supplemental/CA_AZ_FEMA_R9_Lidar_2017_D18_Lidar_Project_Report.pdf
Name: Dataset report
URL Type:
Online Resource
File Resource Format: PDF
Description:

Link to data set report.

URL 4

CC ID: 1056415
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9269/supplemental/CA_AZ_FEMA_R9_Lidar_2017_D18_VA_Summary_lpc.txt
Name: USGS VA Assessment
URL Type:
Online Resource
File Resource Format: TXT
Description:

USGS Vertical Accuracy Assessment document.

Technical Environment

Description:

Microsoft Windows 10; Esri ArcCatalog v10.4; Esri ArcMap v10.4; GeoCue 2017.1.14.1; IPAS Pro v1.35; LP360 v2018.1.57.4; Leica CloudPro v1.2.4; Novatel Inertial Explorer v8.60.6129; POSPac Software v5.3; TerraMatch v18; TerraModeler v18; TerraScan v18.

Data Quality

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.

The following VA information is from the USGS analysis. More information can be found in the supplemental section of the Bulk Download webpage.

The number of Checkpoints tested for LPC NVA : 237

The LPC NVA RMSEz= 5.15 cm

The LPC NVA Accuracy z at 95% confidence interval (RMSEz * 1.96) = 10.10 cm

The number of checkpoints tested for LPC VVA : 164

The 95th percentile value for LPC VVA is : 22.48 cm

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

Data extent

CC ID: 1145701
Contact Role Type: Originator
Contact Type: Organization
Contact Name: Woolpert
Publish Date: 2019-03-14
Extent Type: Discrete
Extent Start Date/Time: 2019-03-14
Source Contribution:

The data extent was created in Esri shapefile format. The shapefile was buffered by 100-meters. It was used in acquisition planning and to clip the final deliverable data.

Hydro Breaklines

CC ID: 1145702
Contact Role Type: Originator
Contact Type: Organization
Contact Name: Woolpert
Publish Date: 2019-03-14
Extent Type: Discrete
Extent Start Date/Time: 2019-03-14
Source Contribution:

This dataset includes hydro breaklines collected as part of this task order.

Lidar acquisition

CC ID: 1145703
Contact Role Type: Originator
Contact Type: Organization
Contact Name: Aero-Graphics
Publish Date: 2019-03-14
Extent Type: Discrete
Extent Start Date/Time: 2018-03-29
Source Contribution:

This dataset includes airborne lidar data point cloud data acquired as part of this task order. This data was used to create the required derivative lidar products.

Survey Control Acquisition

CC ID: 1145704
Contact Role Type: Originator
Contact Type: Organization
Contact Name: Woolpert
Publish Date: 2019-03-14
Extent Type: Range
Extent Start Date/Time: 2018-05-19
Extent End Date/Time: 2018-07-09
Source Contribution:

This dataset includes ground control and QA/QC checkpoints collected as part of this task order. These points were used in the calibration and accuracy testing of the lidar point cloud and DEM data.

Tile index

CC ID: 1145705
Contact Role Type: Originator
Contact Type: Organization
Contact Name: Woolpert
Publish Date: 2019-03-14
Extent Type: Discrete
Extent Start Date/Time: 2019-03-14
Source Contribution:

The tile index was created in Esri shapefile format. The tiles have a size of 4,500-feet x 4,500-feet. Tile names were derived from the x- and y-coordinates of the lower left corner of the tile. This index was used to create the tiled deliverables for this project.

Process Steps

Process Step 1

CC ID: 1145706
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), Ignored Ground (Class 10), Bridge Decks (Class 17) and High Noise (Class 18). 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 1.14 feet was also used around each hydro-flattened feature to classify these ground (Class 2) points to Ignored ground (Class 10). 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 for both the All Point Cloud Data and the Bare Earth. 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: 2019-03-14 00:00:00

Process Step 2

CC ID: 1145707
Description:

The NOAA Office for Coastal Management (OCM) downloaded the laz files from this USGS site:

ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/CA_AZ_FEMA_R9_Lidar_2017_D18/

These files were processed to the Data Access Viewer (DAV) and https. The total number of files downloaded and processed was 10,516.

The data were in California State Plane Zones I & IV (NAD83 2011), US Survey Feet, coordinates and NAVD88 (Geoid12B) elevations in US Survey Feet. The data were classified as: 1 - Unclassified, 2 - Ground, 7 - Low Noise, 9 - Water, 17 - Bridge Decks, 18 - High Noise. OCM processed all classifications of points to the Digital Coast Data Access Viewer (DAV).

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 Geoid12B model, to convert from CA State Plane (NAD83 2011) coordinates to geographic coordinates, to assign the geokeys, to sort the data by gps time, to filter points below -10 feet and zip the data to database and to http.

Process Date/Time: 2021-03-30 00:00:00
Process Contact: Office for Coastal Management (OCM)

Related Items

Item Type Relationship Type Title
Data Set (DS) Larger Work Citation 2018 FEMA Lidar: Region 9, CA (QL1)

QL1 Portion of this dataset

Catalog Details

Catalog Item ID: 64466
GUID: gov.noaa.nmfs.inport:64466
Metadata Record Created By: Blake Waring
Metadata Record Created: 2021-03-30 15:57+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