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Item Identification
Keywords
Physical Location
Data Set Info
Support Roles
Extents
Access Info
Distribution Info
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Data Quality
Lineage
Catalog Details

Summary

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Short Citation
OCM Partners, 2024: 2010 USGS Lidar: Nome Creek, Alaska, https://www.fisheries.noaa.gov/inport/item/52686.
Full Citation Examples

Abstract

The NOAA Office for Coastal Management (OCM) downloaded this lidar data from the USGS site: ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/NED/LPC/Projects/AK_NomeCreek_2010/ and processed the data to be available on the Digital Coast Data Access Viewer (DAV). NOAA Office for Coastal Management processed all classifications of points to the Digital Coast Data Access Viewer (DAV). Classes available on the DAV are: 1 (Unclassified/Unknown. Data from overlapping flightlines that were not used for generating elevation/surface models are marked with the withheld flag (bit 7 of the classification word), 2 (Ground), 7 (Noise).

The U.S. Geological Survey (USGS) has a requirement for high resolution digital elevation models (DEM) and LIDAR returns needed for mapping canopy heights. The vertical accuracy shall be less than 30 cm vertical RMSEz. This data will be used in the USGS Nome Creek project on the intensive site in Nome Creek.

The Nome Creek LiDAR project was carried out to provide high accuracy processed LiDAR data suitable for the approximately 90 square miles of the project area.

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.

  • 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.

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be aware that temporal changes may have occurred since this data set was collected and some parts of this data may no longer represent actual surface conditions.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 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

Geographic Area 1

-147.244659° W, -146.861693° E, 65.425426° N, 65.283584° S

Time Frame 1
2010-10-05

Item Identification

Title: 2010 USGS Lidar: Nome Creek, Alaska
Short Name: ak2010_nome_creek_m8531_metadata.xml
Status: Completed
Publication Date: 2010-11-17
Abstract:

The NOAA Office for Coastal Management (OCM) downloaded this lidar data from the USGS site: ftp://rockyftp.cr.usgs.gov/vdelivery/Datasets/Staged/NED/LPC/Projects/AK_NomeCreek_2010/ and processed the data to be available on the Digital Coast Data Access Viewer (DAV). NOAA Office for Coastal Management processed all classifications of points to the Digital Coast Data Access Viewer (DAV). Classes available on the DAV are: 1 (Unclassified/Unknown. Data from overlapping flightlines that were not used for generating elevation/surface models are marked with the withheld flag (bit 7 of the classification word), 2 (Ground), 7 (Noise).

The U.S. Geological Survey (USGS) has a requirement for high resolution digital elevation models (DEM) and LIDAR returns needed for mapping canopy heights. The vertical accuracy shall be less than 30 cm vertical RMSEz. This data will be used in the USGS Nome Creek project on the intensive site in Nome Creek.

The Nome Creek LiDAR project was carried out to provide high accuracy processed LiDAR data suitable for the approximately 90 square miles of the project area.

Purpose:

Light Detection and Ranging (LiDAR) non-bare earth points will be used for determining canopy height. Canopy height will be used to map leaf area index (LAI) and biomass in conjunction with high resolution spectral imagery and radar. The high resolution DEM will be used for hydrological models, wetland catchment basin delineation, and to assist hybrid optical and radar remote sensing techniques to map soil moisture. This project is a USGS collaborative effort to understand, monitor, and predict the effects of climate change on water, wildlife, human subsistence, and climate regulation.

The project consisted of acquisition, post-processing, and classification of LiDAR data. The LiDAR data was collected at a nominal point spacing of 2.095 meters throughout the project area. Vertical accuracy was to achieve a RMSE Z of 30cm (95% confidence level of less than 59cm) or better in the "Open Terrain" land cover category.

Accuracy statements are based on the area of moderate to flat terrain. Diminished accuracies are to be expected in areas in dense vegetation. The accuracy of the LiDAR data as tested met the vertical accuracy or better, however, derived products may be less accurate in areas of dense vegetation due to a lesser number of points defining the bare-earth in these areas.

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
None Light Detection and Ranging
None Point Cloud

Spatial Keywords

Thesaurus Keyword
Global Change Master Directory (GCMD) Location Keywords
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > ALASKA
Global Change Master Directory (GCMD) Location Keywords
VERTICAL LOCATION > LAND SURFACE

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: Unknown
Data Presentation Form: digital point data
Distribution Liability:

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

Data Set Credit: Aero-Metric, Inc., USGS

Support Roles

Data Steward

CC ID: 754249
Date Effective From: 2018
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: 754250
Date Effective From: 2018
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: 754251
Date Effective From: 2018
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: 754252
Date Effective From: 2018
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: 1141327
W° Bound: -147.244659
E° Bound: -146.861693
N° Bound: 65.425426
S° Bound: 65.283584

Extent Group 1 / Time Frame 1

CC ID: 1141326
Time Frame Type: Discrete
Start: 2010-10-05

Access Information

Security Class: Unclassified
Data Access Procedure:

Data is available online for custom and buk 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: 754256
Start Date: 2018
End Date: Present
Download URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=8531
Distributor:
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.

Compression: Zip

Distribution 2

CC ID: 754257
Start Date: 2018
End Date: Present
Download URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/8531/index.html
Distributor:
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.

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

URLs

URL 1

CC ID: 754245
URL: https://coast.noaa.gov/
Name: NOAA's Office for Coastal Management (OCM) website
URL Type:
Online Resource
File Resource Format: HTML
Description:

Information on the NOAA Office for Coastal Management (OCM)

URL 2

CC ID: 754246
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 3

CC ID: 754247
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/8531/supplemental/ak2010_nome_creek_m8531.kmz
Name: Browse graphic
URL Type:
Browse Graphic
File Resource Format: KML
Description:

This graphic displays the footprint for this lidar data set.

URL 4

CC ID: 754248
URL: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/8531/supplemental/ak2010_nome_creek_m8531_lidar_report.pdf
Name: Dataset report
URL Type:
Online Resource
File Resource Format: PDF
Description:

Link to data set report.

Data Quality

Horizontal Positional Accuracy:

These data products were acquired at 3800 meters above mean terrain (AMT) and have a horizontal accuracy of 1.05 meters with a nominal point spacing of 2.095 meters per manufacturer's specifications, not field verified.

Vertical Positional Accuracy:

The Fundamental Vertical Accuracy (FVA) of the Classified Bare Earth for this project was 0.067 meters at a 95% confidence level in the "Open Terrain" land cover category. The RMSE is 0.034 cm. A total of 3082 QC points were used in assessing this project's vertical accuracy.

Completeness Report:

Complete

Conceptual Consistency:

None

Lineage

Process Steps

Process Step 1

CC ID: 1141323
Description:

The LiDAR data was captured using AERO-METRIC's twin-engine, fixed wing aircraft equipped with a LiDAR system. The LiDAR system includes a differential GPS unit and inertial measurement system to provide superior accuracy.

Acquisition parameters:

1. Scanner - Optech ALTM Gemini

2. Flight Height - 3800m above mean terrain

3. Scan Angle - 14 degrees

4. Sidelap - 50% for both areas

5. Nominal Post Spacing - 2.095 meters

GPS and IMU processing parameters:

1. Processing Programs and version - Applanix - POSGPS and POSProc, versions 4.4

2. Maximum baseline length - Not greater than 40km.

3. IMU processing monitored for consistency and smoothness - Yes.

Point Cloud Processing:

1. Program and version - Optech LMS

2. Horizontal Datum - NAD83(CORS96)

3. Horizontal Coordinates - Universal Transverse Mercator, Zone 6, in Meters.

4. Vertical Datum - NAVD88

5. Geoid Model used to reduce ellipsoid heights to orthometric elevations - NGS Geoid06.

LIDAR Processing:

1. Processing Programs and versions - TerraSolid TerraScan (version 009.004), TerraModeler (version 009.001 and TerraMatch (version 009.001) and Intergraph MicroStation (version.08.01.02.15).

2. Point Cloud data is imported to TerraScan in a Microstation V8 (V) CAD environment on a specified 5000 foot by 5000 foot tiling scheme.

3. Analyze the data for overall compleness and consistency. This is to ensure that there are no voids in the data collection.

4. Inspect for calibration errors in the dataset using the TerraMatch software. This is accomplished by sampling the data collected accross all flight lines and classifying the idividual lines to ground. The software will use the ground-classified lines to compute corrections (Heading, Pitch, Roll, and Scale).

5. Orientation corrections (i.e. Calibration corrections) are then applied (if needed) to the entire dataset.

6. Automatic ground classification is performed using algorithms with customized parameters to best fit the project area. Several areas of varying relief and planimetric features were inspected to verify the final ground surface.

7. Design Alaska, INC. provided Quality Assurance and Quality Control (QAQC) data for this project. Design Alaska captured QA/QC points in 'open terrian' land cover category that were used to test the accuracy of the LiDAR ground surface. TerraScan's Output Control Report (OCR) was used to compare the QAQC data to the LIDAR data. This routine searches the LIDAR dataset by X and Y coordinate, finds the closest LIDAR point and compares the vertical (Z) values to the known data collected in the field. Based on the QAQC data, a bias adjustment was determined, and the results were applied to the LIDAR data. A final OCR was performed with a resulting RMSE of 0.10m.

8. Once the automatic processing and the testing of LiDAR is complete, AERO-METRIC meticulously reviews the generated bare-earth surface data to insure that proper classification was achieved as part of a Quality Control process.

9. Final deliverables are generated and output to a 1000m by 1000m tiling scheme in accordance with client specifications.

Process Date/Time: 2010-11-16 00:00:00

Process Step 2

CC ID: 1141324
Description:

The NOAA Office for Coastal Management (OCM) downloaded 267 laz files from the USGS rockyftp site. The files contained elevation and intensity measurements for the Nome Creek, Alaska project area. The data were in UTM Zone 6 coordinates and NAVD88 (Geoid06) elevations in meters. The data were classified as: 1 -Unclassified, 2 - Ground, 7 - Noise. The NOAA Office for Coastal Management processed all classifications of points to the Digital Coast Data Access Viewer (DAV). Classes available on the DAV are: 1, 2, 7.

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

1. The LAStools software scripts lasinfo and lasvalidate were run on the laz files to check for errors.

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

3. Internal OCM scripts were run on the laz files to convert from orthometric (NAVD88) elevations to ellipsoid elevations using the Geoid06 model, to convert from UTM Zone 6 coordinates to geographic coordinates, to assign the geokeys, to sort the data by gps time and zip the data to database and to http.

Process Date/Time: 2018-05-17 00:00:00
Process Contact: Office for Coastal Management (OCM)

Catalog Details

Catalog Item ID: 52686
GUID: gov.noaa.nmfs.inport:52686
Metadata Record Created By: Rebecca Mataosky
Metadata Record Created: 2018-05-17 10:01+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