2018 USGS Lidar: Southern California Wildfires
Data Set (DS) | OCM Partners (OCMP)GUID: gov.noaa.nmfs.inport:58709 | Updated: January 24, 2025 | Published / External
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Summary
Short Citation
OCM Partners, 2025: 2018 USGS Lidar: Southern California Wildfires, https://www.fisheries.noaa.gov/inport/item/58709.
Full Citation Examples
Product: Processed, classified lidar point cloud data tiles in LAS 1.4 format.
Geographic Extent:
QL2 Area - Approximately 8,146 square miles in portions of Los Angeles, Orange, Riverside, San Bernardino, Kern, San Luis Obispo, Santa Barbara, Ventura Counties
QL1 Area - Approximately 1,343 square miles in portion of Santa Barbara County.
Dataset Description:
QL2 Area: The CA SoCal Wildfires 2018 D18 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 1.3. The data was developed based on a horizontal datum/projection of NAD83 (2011) Albers Equal Area, meters, and a vertical datum of NAVD88 (GEOID12B) meters. Lidar data was delivered as processed LAS 1.4 files formatted to 24,518 individual 1,000-meter x 1,000-meter tiles.
QL1 Area: The CA SoCal Wildfires 2018 D18 lidar project called for the planning, acquisition, processing, and production of derivative products of QL1 lidar data to be collected at a nominal pulse spacing (NPS) of 0.35 meters. Project specifications were based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification, Version 1.3. The data was developed based on a horizontal datum/projection of NAD83 (2011) Albers Equal Area, meters, and a vertical datum of NAVD88 (GEOID12B) meters. Lidar data was delivered as processed LAS 1.4 files formatted to 3,479 individual 1,000-meter x 1,000-meter tiles.
Ground Conditions:
QL2 Area: Lidar was collected from May 27, 2018 through October 12, 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 275 ground control points that were used to calibrate the lidar to known ground locations established throughout the project area. An additional 351 independent accuracy checkpoints (205 NVA points and 146 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.
QL1 Area: Lidar was collected from June 13, 2018 through August 6, 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 275 ground control points that were used to calibrate the lidar to known ground locations established throughout the project area. An additional 351 independent accuracy checkpoints (205 NVA points and 146 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.
The NOAA Office for Coastal Management (OCM) downloaded 5 data sets from this USGS site:
ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/
The data sets downloaded were:
USGS_LPC_CA_SoCAL_Wildfires_TL_2018_LAS_2019/ Number of files: 108
USGS_LPC_CA_SoCal_Wildfires_B1_2018_LAS_2019/ Number of files: 7868
USGS_LPC_CA_SoCal_Wildfires_B2_2018_LAS_2019/ Number of files: 5807
USGS_LPC_CA_SoCal_Wildfires_B3_2018_LAS_2019/ Number of files: 7261
USGS_LPC_CA_SoCal_Wildfires_B4_2018_LAS_2019/ Number of files: 3474
These files were processed to the Data Access Viewer (DAV) and https. The total number of files downloaded and processed was 24,518.
Hydro breaklines are also available. These data are available for download at the link provided in the URL section of this metadata record. Please note that these products have not been reviewed by the NOAA Office for Coastal Management (OCM) and any conclusions drawn from the analysis of this information are not the responsibility of NOAA or OCM.
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.
None
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 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
https://coast.noaa.gov
Metadata Contact
NOAA Office for Coastal Management (NOAA/OCM)
coastal.info@noaa.gov
(843) 740-1202
https://coast.noaa.gov
Extents
-120.65917543218° W,
-116.54909388619° E,
35.50534762635° N,
33.3837625848° S
2018-05-28 - 2018-10-12
QL2 Area - portions of Kern, Los Angeles, Riverside, Orange, San Bernardino, San Luis Obispo, Santa Barbara, Ventura counties
2018-06-13 - 2018-08-06
QL1 Area - portion of Santa Barbara County
Item Identification
Title: | 2018 USGS Lidar: Southern California Wildfires |
---|---|
Short Name: | ca2018_socal_wldfire_m9003_metadata |
Status: | Completed |
Publication Date: | 2019-05-31 |
Abstract: |
Product: Processed, classified lidar point cloud data tiles in LAS 1.4 format. Geographic Extent: QL2 Area - Approximately 8,146 square miles in portions of Los Angeles, Orange, Riverside, San Bernardino, Kern, San Luis Obispo, Santa Barbara, Ventura Counties QL1 Area - Approximately 1,343 square miles in portion of Santa Barbara County. Dataset Description: QL2 Area: The CA SoCal Wildfires 2018 D18 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 1.3. The data was developed based on a horizontal datum/projection of NAD83 (2011) Albers Equal Area, meters, and a vertical datum of NAVD88 (GEOID12B) meters. Lidar data was delivered as processed LAS 1.4 files formatted to 24,518 individual 1,000-meter x 1,000-meter tiles. QL1 Area: The CA SoCal Wildfires 2018 D18 lidar project called for the planning, acquisition, processing, and production of derivative products of QL1 lidar data to be collected at a nominal pulse spacing (NPS) of 0.35 meters. Project specifications were based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification, Version 1.3. The data was developed based on a horizontal datum/projection of NAD83 (2011) Albers Equal Area, meters, and a vertical datum of NAVD88 (GEOID12B) meters. Lidar data was delivered as processed LAS 1.4 files formatted to 3,479 individual 1,000-meter x 1,000-meter tiles. Ground Conditions: QL2 Area: Lidar was collected from May 27, 2018 through October 12, 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 275 ground control points that were used to calibrate the lidar to known ground locations established throughout the project area. An additional 351 independent accuracy checkpoints (205 NVA points and 146 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. QL1 Area: Lidar was collected from June 13, 2018 through August 6, 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 275 ground control points that were used to calibrate the lidar to known ground locations established throughout the project area. An additional 351 independent accuracy checkpoints (205 NVA points and 146 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. The NOAA Office for Coastal Management (OCM) downloaded 5 data sets from this USGS site: ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/ The data sets downloaded were: USGS_LPC_CA_SoCAL_Wildfires_TL_2018_LAS_2019/ Number of files: 108 USGS_LPC_CA_SoCal_Wildfires_B1_2018_LAS_2019/ Number of files: 7868 USGS_LPC_CA_SoCal_Wildfires_B2_2018_LAS_2019/ Number of files: 5807 USGS_LPC_CA_SoCal_Wildfires_B3_2018_LAS_2019/ Number of files: 7261 USGS_LPC_CA_SoCal_Wildfires_B4_2018_LAS_2019/ Number of files: 3474 These files were processed to the Data Access Viewer (DAV) and https. The total number of files downloaded and processed was 24,518. Hydro breaklines are also available. These data are available for download at the link provided in the URL section of this metadata record. Please note that these products have not been reviewed by the NOAA Office for Coastal Management (OCM) and any conclusions drawn from the analysis of this information are not the responsibility of NOAA or OCM. |
Purpose: |
Lidar data are used in predicting wildfire risk, and in post-wildfire hazards analyses. For example, lidar data provide 3D information about forest canopy and vegetation structure that is used to map wildfire fuel, a key risk factor for fire occurrence and intensity. Lidar maps the local topographic conditions (elevation, slope, and aspect), which are critical components to understanding and predicting fire behavior. After wildfires occur, lidar data are used to develop predictive models of flood and mudflow hazards that can result from steep terrain that has been stripped of vegetation. Conducting these analyses and understanding the vulnerability of California communities, farms, and infrastructure to future wildfires relies on the availability of high resolution, accurate lidar data. Wildfire applications for high resolution elevation data include: assessment of wildfire hazards, estimates of wildfire fuel loads, flood and mudflow hazard models, development of plans and site engineering documents to support reconstruction activities, 3D data to support ecological assessments and other long-term science requirements. |
Supplemental Information: |
USGS Contract No. G16PC00022, Task Order No. 140G0218F0246. Contractor: Woolpert. The following are the USGS lidar fields in JSON: {
"ldrinfo" : {
"ldrspec" : "USGS NGP Base Specifications v1.3", "ldrsens" : "Leica ALS80", "ldrmaxnr" : "infinite", "ldrnps" : "0.7", "ldrdens" : "2", "ldranps" : "0.7", "ldradens" : "2", "ldrfltht" : "1981", "ldrfltsp" : "150", "ldrscana" : "40", "ldrscanr" : "42.9", "ldrpulsr" : "272", "ldrpulsd" : "5", "ldrpulsw" : "2.5", "ldrwavel" : "1064", "ldrmpia" : "1", "ldrbmdiv" : "0.20", "ldrswatw" : "1443", "ldrswato" : "25", "ldrgeoid" : "GEOID12B" }, "ldrinfo" : {
"ldrspec" : "USGS NGP Base Specifications v1.3", "ldrsens" : "Leica ALS80", "ldrmaxnr" : "infinite", "ldrnps" : "0.7", "ldrdens" : "2", "ldranps" : "0.7", "ldradens" : "2", "ldrfltht" : "2377", "ldrfltsp" : "150", "ldrscana" : "40", "ldrscanr" : "35.5", "ldrpulsr" : "346", "ldrpulsd" : "5", "ldrpulsw" : "2.5", "ldrwavel" : "1064", "ldrmpia" : "1", "ldrbmdiv" : "0.20", "ldrswatw" : "1731", "ldrswato" : "25", "ldrgeoid" : "GEOID12B" }, "ldraccur" : {
"ldrchacc" : "0", "rawnva" : "0.104", "rawnvan" : "205", "clsnva" : "0.112", "clsnvan" : "205", "clsvva" : "0.211", "clsvvan" : "146" }, "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" : "18", "clasitem" : "High Noise" }, "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 > COASTAL PROCESSES > COASTAL ELEVATION
|
ISO 19115 Topic Category |
elevation
|
UNCONTROLLED | |
None | beach |
None | erosion |
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
|
UNCONTROLLED | |
None | Continent > North America > United States Of America > California > Kern County |
None | Continent > North America > United States Of America > California > Los Angeles County |
None | Continent > North America > United States Of America > California > Orange County |
None | Continent > North America > United States Of America > California > Riverside County |
None | Continent > North America > United States Of America > California > San Bernardino County |
None | Continent > North America > United States Of America > California > San Luis Obispo County |
None | Continent > North America > United States Of America > California > Santa Barbara County |
None | Continent > North America > United States Of America > California > Ventura 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 |
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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 Woolpert, USGS, NOAA, the Office for Coastal Management or its partners. |
Data Set Credit: | Woolpert |
Support Roles
Data Steward
Date Effective From: | 2020 |
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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
Date Effective From: | 2020 |
---|---|
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
Date Effective From: | 2020 |
---|---|
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
Date Effective From: | 2020 |
---|---|
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 |
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Extent Group 1
Extent Group 1 / Geographic Area 1
W° Bound: | -120.65917543218 | |
---|---|---|
E° Bound: | -116.54909388619 | |
N° Bound: | 35.50534762635 | |
S° Bound: | 33.3837625848 |
Extent Group 1 / Time Frame 1
Time Frame Type: | Range |
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Start: | 2018-05-28 |
End: | 2018-10-12 |
Description: |
QL2 Area - portions of Kern, Los Angeles, Riverside, Orange, San Bernardino, San Luis Obispo, Santa Barbara, Ventura counties |
Extent Group 1 / Time Frame 2
Time Frame Type: | Range |
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Start: | 2018-06-13 |
End: | 2018-08-06 |
Description: |
QL1 Area - portion of Santa Barbara County |
Spatial Information
Spatial Representation
Representations Used
Grid: | No |
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Vector: | Yes |
Text / Table: | No |
TIN: | No |
Stereo Model: | No |
Video: | No |
Reference Systems
Reference System 1
Coordinate Reference System |
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Access Information
Security Class: | Unclassified |
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Data Access Procedure: |
Data is available online for bulk and 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
Start Date: | 2020-01-28 |
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End Date: | Present |
Download URL: | https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9003 |
Distributor: | NOAA Office for Coastal Management (NOAA/OCM) (2020 - 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
Start Date: | 2020-01-28 |
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End Date: | Present |
Download URL: | https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9003/index.html |
Distributor: | NOAA Office for Coastal Management (NOAA/OCM) (2020 - 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
URL: | https://coast.noaa.gov/dataviewer/ |
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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
URL: | https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9003/supplemental/ca2018_socal_wildfires_m9003.kmz |
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Name: | Browse graphic |
URL Type: |
Browse Graphic
|
File Resource Format: | KML |
Description: |
This graphic displays the footprint for this lidar data set. |
URL 3
URL: | https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9003/supplemental/CA_SoCal_Wildfires_2018_D18_Lidar_Project_Report.pdf |
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Name: | Data set report |
URL Type: |
Online Resource
|
Description: |
Link to the data set report. |
URL 4
URL: | https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9003/breaklines/index.html |
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Name: | Breaklines |
URL Type: |
Online Resource
|
Description: |
Link to the data set breaklines. |
URL 5
URL: | https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/9003/supplemental/SoCal_Wildfires_Survey_Report.pdf |
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Name: | Survey report |
URL Type: |
Online Resource
|
Description: |
Link to the data set survey report. |
Technical Environment
Description: |
Microsoft Windows 10 Version 1607 (Build 14393.2189); ArcMap 10.3; ArcCatalog 10.3; TerraScan ver. 17; TerraModeler ver. 17; Geocue 2017.2.20.0. |
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Data Quality
Vertical Positional Accuracy: |
The project specifications require that only Non-Vegetated Vertical Accuracy (NVA) be computed for raw lidar point cloud swath files. The required accuracy (ACCz) is: 19.6 cm at a 95% confidence level, derived according to NSSDA, i.e., based on RMSE of 10 cm in non-vegetated land cover classes. The NVA was tested with 205 checkpoints located in bare earth and urban (non-vegetated) areas. These check points were not used in the calibration or post processing of the lidar point cloud data. The checkpoints were distributed throughout the project area and were surveyed using GPS techniques. See survey report for additional survey methodologies. Elevations from the unclassified lidar surface were measured for the x,y location of each check point. Elevations interpolated from the lidar surface were then compared to the elevation values of the surveyed control points. AccuracyZ has been tested to meet 19.6 cm or better Non-Vegetated Vertical Accuracy at 95% confidence level using RMSE(z) x 1.9600 as defined by the National Standard for Spatial Data Accuracy (NSSDA); assessed and reported using National Digital Elevation Program (NDEP)/ASRPS Guidelines. Tested 0.104 meters NVA at a 95% confidence level using RMSE(z) 0.053 x 1.9600 as defined by the National Standard for Spatial Data Accuracy (NSSDA). The NVA of the raw lidar point cloud swath files was calculated against TINs derived from the final calibrated and controlled swath data using 205 independent checkpoints located in non-vegetated land cover categories. |
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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 |
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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
Contact Role Type: | Originator |
---|---|
Contact Type: | Organization |
Contact Name: | Woolpert |
Publish Date: | 2019-05-31 |
Extent Type: | Discrete |
Extent Start Date/Time: | 2019-05-31 |
Source Contribution: |
The data extent was created in shapefile format. It was used in acquisition planning and to clip the final deliverable data. |
Hydro Breaklines
Contact Role Type: | Originator |
---|---|
Contact Type: | Organization |
Contact Name: | Woolpert |
Publish Date: | 2019-05-31 |
Extent Type: | Discrete |
Extent Start Date/Time: | 2019-05-31 |
Source Contribution: |
This dataset includes hydro breaklines collected as part of this task order. |
Lidar Acquisition
Contact Role Type: | Originator |
---|---|
Contact Type: | Organization |
Contact Name: | Woolpert |
Publish Date: | 2019-05-31 |
Extent Type: | Range |
Extent Start Date/Time: | 2018-05-27 |
Extent End Date/Time: | 2018-10-12 |
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
Contact Role Type: | Originator |
---|---|
Contact Type: | Organization |
Contact Name: | Woolpert |
Publish Date: | 2019-05-31 |
Extent Type: | Range |
Extent Start Date/Time: | 2018-06-19 |
Extent End Date/Time: | 2018-08-09 |
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
Contact Role Type: | Originator |
---|---|
Contact Type: | Organization |
Contact Name: | Woolpert |
Publish Date: | 2019-05-31 |
Extent Type: | Discrete |
Extent Start Date/Time: | 2019-05-31 |
Source Contribution: |
The tile index provided created in shapefile format. The tiles have a size of 1,000-meters x 1,000-meters. Tile names were derived from the easting and northing location of lower left corner of each tile (ex.: "w0002n0612"). This index was used to create the tiled deliverables for this project. |
Process Steps
Process Step 1
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 20), 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 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 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. |
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Process Date/Time: | 2019-05-31 00:00:00 |
Process Step 2
Description: |
The NOAA Office for Coastal Management (OCM) downloaded 5 data sets from this USGS site: ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/Elevation/LPC/Projects/ The data sets downloaded were: USGS_LPC_CA_SoCAL_Wildfires_TL_2018_LAS_2019/ Number of files: 108 USGS_LPC_CA_SoCal_Wildfires_B1_2018_LAS_2019/ Number of files: 7868 USGS_LPC_CA_SoCal_Wildfires_B2_2018_LAS_2019/ Number of files: 5807 USGS_LPC_CA_SoCal_Wildfires_B3_2018_LAS_2019/ Number of files: 7261 USGS_LPC_CA_SoCal_Wildfires_B4_2018_LAS_2019/ Number of files: 3474 These files were processed to the Data Access Viewer (DAV) and https. The total number of files downloaded and processed was 24,518. The data were in CONUS Albers Equal area (NAD83 2011), meters coordinates and NAVD88 (Geoid12B) elevations in meters. The data were classified as: 1 - Unclassified, 2 - Ground, 7 - Low Noise, 9 - Water, 17 - Bridge Decks, 18 - High Noise, 20 - Ignored Ground. OCM processed all classifications of points to the Digital Coast Data Access Viewer (DAV). Classes available on the DAV are: 1, 2, 7, 9, 17, 18, 20. 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 from CONUS Albers Equal area (NAD83 2011), meters coordinates to geographic coordinates, to assign the geokeys, to sort the data by gps time and zip the data to database and to http. |
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Process Contact: | Office for Coastal Management (OCM) |
Catalog Details
Catalog Item ID: | 58709 |
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GUID: | gov.noaa.nmfs.inport:58709 |
Metadata Record Created By: | Rebecca Mataosky |
Metadata Record Created: | 2020-01-28 12:57+0000 |
Metadata Record Last Modified By: | Rebecca Mataosky |
Metadata Record Last Modified: | 2025-01-24 15:23+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 |