2016 USFS Lidar: Fremont-Winema National Forest - Cherry Creek
Data Set (DS) | OCM Partners (OCMP)GUID: gov.noaa.nmfs.inport:57683 | Updated: October 17, 2023 | Published / External
Summary
Short Citation
OCM Partners, 2024: 2016 USFS Lidar: Fremont-Winema National Forest - Cherry Creek, https://www.fisheries.noaa.gov/inport/item/57683.
Full Citation Examples
No metadata record for this data set was provided to the NOAA Office for Coastal Management (OCM). This record was created with information from the data report. A link to the data report is provided in the URL section of this metadata record.
LiDAR data acquisition occurred between July and October 2016. The Atlantic Group, LLC successfully completed lidar acquisition for the Fremont-Winema, Willamette, Deschutes, and Umpqua National Forests areas of interest (AOI). This metadata record describes the Cherry Creek project area in the Fremont-Winema National Forest which is a subset of the larger collection. The lidar for the larger AOI was acquired in fifty (50) flight missions completed on October 25th, 2016. The total project area encompasses 1,275,059 acres, 5,160 square kilometers or 1,992 square miles.
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.
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LAS/LAZ - LASer
Bulk download of lidar files in laz format, geographic coordinates, orthometric heights.
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be aware that temporal changes may have occurred since this data set was collected and some parts of this data may no longer represent actual surface conditions.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
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
-122.175483° W,
-122.051609° E,
42.801117° N,
42.467812° S
Cherry Creek project area.
2016-07 - 2016-10
Dates of collection.
Item Identification
Title: | 2016 USFS Lidar: Fremont-Winema National Forest - Cherry Creek |
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Status: | Completed |
Creation Date: | 2019-09-23 |
Abstract: |
No metadata record for this data set was provided to the NOAA Office for Coastal Management (OCM). This record was created with information from the data report. A link to the data report is provided in the URL section of this metadata record. LiDAR data acquisition occurred between July and October 2016. The Atlantic Group, LLC successfully completed lidar acquisition for the Fremont-Winema, Willamette, Deschutes, and Umpqua National Forests areas of interest (AOI). This metadata record describes the Cherry Creek project area in the Fremont-Winema National Forest which is a subset of the larger collection. The lidar for the larger AOI was acquired in fifty (50) flight missions completed on October 25th, 2016. The total project area encompasses 1,275,059 acres, 5,160 square kilometers or 1,992 square miles. |
Purpose: |
The primary purpose of the lidar survey was to establish measurements of the bare earth surface, as well as top surface feature data for providing geometric inputs for modeling, other numerical modeling and economic related assessments. |
Keywords
Theme Keywords
Thesaurus | Keyword |
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Global Change Master Directory (GCMD) Science Keywords |
EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION
|
ISO 19115 Topic Category |
elevation
|
UNCONTROLLED | |
None | Cherry Creek |
None | laser |
None | lidar |
None | Topography |
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 > OREGON
|
Global Change Master Directory (GCMD) Location Keywords |
VERTICAL LOCATION > LAND SURFACE
|
UNCONTROLLED | |
None | Continent > North America > United States Of America > Oregon > Fremont-Winema National Forest |
None | Continent > North America > United States Of America > Oregon > Klamath County |
Instrument Keywords
Thesaurus | Keyword |
---|---|
Global Change Master Directory (GCMD) Instrument Keywords |
LIDAR > Light Detection and Ranging
|
Platform Keywords
Thesaurus | Keyword |
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Global Change Master Directory (GCMD) Platform Keywords |
Airplane > Airplane
|
Physical Location
Organization: | Office for Coastal Management |
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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: | Point Cloud (Digital) |
Distribution Liability: |
Any conclusions drawn from the analysis of this information are not the responsibility of the USDA Forest Service, DOGAMI, NOAA, the Office for Coastal Management or its partners. |
Data Set Credit: | USDA Forest Service |
Support Roles
Data Steward
Date Effective From: | 2019 |
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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: | 2019 |
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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 |
Metadata Contact
Date Effective From: | 2019 |
---|---|
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: | 2019 |
---|---|
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: | -122.175483 | |
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E° Bound: | -122.051609 | |
N° Bound: | 42.801117 | |
S° Bound: | 42.467812 | |
Description |
Cherry Creek project area. |
Extent Group 1 / Time Frame 1
Time Frame Type: | Range |
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Start: | 2016-07 |
End: | 2016-10 |
Description: |
Dates of collection. |
Spatial Information
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: | 2019-07-10 |
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End Date: | Present |
Download URL: | https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=8872 |
Distributor: | NOAA Office for Coastal Management (NOAA/OCM) (2019 - 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. |
File Type (Deprecated): | Zip |
Compression: | Zip |
Distribution 2
Start Date: | 2019-07-10 |
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End Date: | Present |
Download URL: | https://coast.noaa.gov/htdata/lidar3_z/geoid12b/data/8872 |
Distributor: | NOAA Office for Coastal Management (NOAA/OCM) (2019 - Present) |
File Name: | Bulk Download |
Description: |
Bulk download of lidar files in laz format, geographic coordinates, orthometric heights. |
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://coast.noaa.gov/htdata/lidar3_z/geoid12b/data/8872/supplemental/or2016_cherry_crk_m8872.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://coast.noaa.gov/htdata/lidar3_z/geoid12b/data/8872/supplemental/16061_Aerial_Lidar_Report.pdf |
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Name: | Data report |
URL Type: |
Online Resource
|
File Resource Format: | |
Description: |
Link to the Data Report. |
Data Quality
Horizontal Positional Accuracy: |
As described in Section 7.5 of the ASPRS Positional Accuracy Standards for Digital Geospatial Data, the horizontal errors in lidar data are largely a function of GNSS positional error, INS angular error, and flying altitude. Therefore, lidar data collected with GNSS error of 8cm and the IMU error of 0.00427 degrees at an altitude of 1,965m; the expected radial horizontal positional error will be RMSEr = 28.5cm. |
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Vertical Positional Accuracy: |
A total of three hundred and five (305) control points were collected for this project. Point cloud data accuracy was tested against a Triangulated Irregular Network (TIN) constructed from lidar points in clear and open areas. A clear and open area can be characterized with respect to topographic and ground cover variation such that a minimum of 5 times the NPS exists with less than 1/3 of the RMSEZ deviation from a low-slope plane. Slopes that exceed 10 percent were avoided. Below are the vertical accuracy reporting requirements for this project: Vertical Accuracy Reporting Requirements in Meters: RMSEZ ≤ 10.0cm (Bare-Earth) FVA ≤ 19.6cm 95% Confidence Level (Bare-Earth) Vertical Accuracy Reporting Requirements in Feet: RMSEZ ≤ 0.328ft (Bare-Earth) FVA ≤ 0.643ft 95% Confidence Level (Bare-Earth) *The terms FVA (Fundamental Vertical Accuracy), SVA (Supplemental Vertical Accuracy) and CVA (Consolidated Vertical Accuracy) are from the National Digital Elevation Program (NDEP) Guidelines for Digital Elevation Data (2004). The term FVA refers to open terrain, urban and levee classes; the term SVA refers to classes tested that are in addition or supplemental to the open terrain; the term CVA refers to the consolidated accuracy of the data from all classes (FVA + SVA). FVA is 0.132 m or 6.7 cm RMSE CVA is 0.072 m |
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
Lineage Statement: |
The Atlantic Group, LLC, collected Light Detection and Ranging (LIDAR) data in the Thomas Creek area for the USDA Forest Service. NOAA OCM has taken the data and ingested it into the Digital Coast Data Access Viewer for distribution. |
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Sources
processed lidar data
Contact Role Type: | Originator |
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Contact Type: | Organization |
Contact Name: | The Atlantic Group, LLC |
raw lidar data
Contact Role Type: | Originator |
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Contact Type: | Organization |
Contact Name: | The Atlantic Group, LLC |
Process Steps
Process Step 1
Description: |
Acquisition. LiDAR data acquisition occurred between July and October 2016. The survey utilized a Leica ALS70-HP laser system mounted in a Cessna T210L. |
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Process Date/Time: | 2017-01-01 00:00:00 |
Process Step 2
Description: |
The NOAA Office for Coastal Management (OCM) received 138 lidar point cloud files in laz format from DOGAMI. The files contained lidar elevation and intensity measurements. The data were in Albers NAD83 Forest Service Region 6, meters, coordinates and NAVD88 (Geoid12B) elevations in meters. The data were classified as: 1-Unclassified, 2-Ground, 7 - Noise. OCM 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. 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 Albers NAD83 Forest Service Region 6 coordinates in meters, 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 Date/Time: | 2019-09-20 00:00:00 |
Process Contact: | NOAA Office for Coastal Management (NOAA/OCM) |
Phone (Voice): | (843) 740-1202 |
Email Address: | coastal.info@noaa.gov |
Source: | processed lidar data |
Catalog Details
Catalog Item ID: | 57683 |
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GUID: | gov.noaa.nmfs.inport:57683 |
Metadata Record Created By: | Rebecca Mataosky |
Metadata Record Created: | 2019-09-23 16:37+0000 |
Metadata Record Last Modified By: | SysAdmin InPortAdmin |
Metadata Record Last Modified: | 2023-10-17 16:12+0000 |
Metadata Record Published: | 2019-09-23 |
Owner Org: | OCMP |
Metadata Publication Status: | Published Externally |
Do Not Publish?: | N |
Metadata Last Review Date: | 2019-09-23 |
Metadata Review Frequency: | 1 Year |
Metadata Next Review Date: | 2020-09-23 |