2009 U.S. Geological Survey (USGS) Lidar: Umpqua River Study Area
Data Set (DS) | OCM Partners (OCMP)GUID: gov.noaa.nmfs.inport:50112 | Updated: August 9, 2022 | Published / External
Summary
Short Citation
OCM Partners, 2024: 2009 U.S. Geological Survey (USGS) Lidar: Umpqua River Study Area, https://www.fisheries.noaa.gov/inport/item/50112.
Full Citation Examples
Watershed Sciences, Inc. collected Light Detection and Ranging (LiDAR) data for the U.S. Geological Survey (USGS) Umpqua River
study site in collaboration with the Puget Sound LiDAR Consortium (PSLC). The areas for LiDAR collection have been designed
as part of a collaborative effort of state, federal, and local agencies in order to meet a wide range of project goals.
This LiDAR data set was collected between April 21 - July 13, 2009 and falls in Douglas County, Oregon.
This data set consists of bare earth and unclassified points. The average pulse density is 8.80 pulses per square meter over
terrestrial surfaces. The area of interest (AOI) encompasses approximately 67,408 acres and the total area flown (TAF) covers
69,925 acres. The TAF acreage is greater than the original AOI acreage due to buffering and flight planning optimization.
In some areas of heavy vegetation or forest cover, there may be relatively few ground points in the LiDAR data. Elevation values
for open water surfaces are not valid elevation values because few lidar points are returned from water surfaces. Lidar intensity
values were also collected.
Original contact information:
Contact Name: Ian Madin
Contact Org: DOGAMI
Phone: 971-673-1542
Email: ian.madin@dogami.state.or.us
Distribution Information
-
Create custom data files by choosing data area, product type, map projection, file format, datum, etc.
-
Simple download of data files.
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be aware that temporal changes may have occurred since this data set was collected and some parts of this data may no
longer represent actual surface conditions.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
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
-123.667727° W,
-123.374727° E,
43.607074° N,
43.367274° S
2009-04-21 - 2009-07-13
Item Identification
Title: | 2009 U.S. Geological Survey (USGS) Lidar: Umpqua River Study Area |
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Short Name: | usgs2009_or_umpqua_river_m1429_metadata |
Status: | Completed |
Publication Date: | 2012 |
Abstract: |
Watershed Sciences, Inc. collected Light Detection and Ranging (LiDAR) data for the U.S. Geological Survey (USGS) Umpqua River study site in collaboration with the Puget Sound LiDAR Consortium (PSLC). The areas for LiDAR collection have been designed as part of a collaborative effort of state, federal, and local agencies in order to meet a wide range of project goals. This LiDAR data set was collected between April 21 - July 13, 2009 and falls in Douglas County, Oregon. This data set consists of bare earth and unclassified points. The average pulse density is 8.80 pulses per square meter over terrestrial surfaces. The area of interest (AOI) encompasses approximately 67,408 acres and the total area flown (TAF) covers 69,925 acres. The TAF acreage is greater than the original AOI acreage due to buffering and flight planning optimization. In some areas of heavy vegetation or forest cover, there may be relatively few ground points in the LiDAR data. Elevation values for open water surfaces are not valid elevation values because few lidar points are returned from water surfaces. Lidar intensity values were also collected. Original contact information: Contact Name: Ian Madin Contact Org: DOGAMI Phone: 971-673-1542 Email: ian.madin@dogami.state.or.us |
Purpose: |
Provide high resolution terrain elevation and land cover elevation data. |
Notes: |
10756 |
Supplemental Information: |
The final LiDAR Report for the Umpqua River study area may be accessed at: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/1429/supplemental/Umpqua_River_LiDAR_Data_Report.pdf A footprint of this data set may be viewed in Google Earth at: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/1429/supplemental/2009_USGS_Umpqua_River_Lidar.kmz |
Keywords
Theme Keywords
Thesaurus | Keyword |
---|---|
ISO 19115 Topic Category |
elevation
|
UNCONTROLLED | |
None | Bare earth |
None | Bare ground |
None | DOGAMI |
None | High-resolution |
None | Light Detection and Ranging |
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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Maintenance Frequency: | None Planned |
Distribution Liability: |
Any conclusions drawn from the analysis of this information are not the responsibility of the U.S. Geological Survey (USGS), the Puget Sound Lidar Consortium (PSLC), the Office for Coastal Management or its partners. |
Data Set Credit: | U.S. Geological Survey (USGS) |
Support Roles
Data Steward
Date Effective From: | 2012 |
---|---|
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: | 2012 |
---|---|
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: | 2012 |
---|---|
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: | 2012 |
---|---|
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: | -123.667727 | |
---|---|---|
E° Bound: | -123.374727 | |
N° Bound: | 43.607074 | |
S° Bound: | 43.367274 |
Extent Group 1 / Time Frame 1
Time Frame Type: | Range |
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Start: | 2009-04-21 |
End: | 2009-07-13 |
Spatial Information
Spatial Representation
Representations Used
Vector: | Yes |
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Access Information
Security Class: | Unclassified |
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Data Access Procedure: |
This data can be obtained on-line at the following URL: https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=1429 This data set is dynamically generated based on user-specified parameters. ; |
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
Download URL: | https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=1429 |
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Distributor: | |
File Name: | Customized Download |
Description: |
Create custom data files by choosing data area, product type, map projection, file format, datum, etc. |
Distribution 2
Download URL: | https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/1429/index.html |
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Distributor: | |
File Name: | Bulk Download |
Description: |
Simple download of data files. |
URLs
URL 1
URL: | https://coast.noaa.gov/dataviewer |
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URL Type: |
Online Resource
|
URL 2
URL: | https://coast.noaa.gov |
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URL Type: |
Online Resource
|
URL 3
URL: | https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/1429/supplemental/2009_USGS_Umpqua_River_Lidar.kmz |
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Name: | Browse Graphic |
URL Type: |
Browse Graphic
|
File Resource Format: | kmz |
Description: |
This graphic shows the lidar coverage for the Umpqua River Study Area. |
Activity Log
Activity Log 1
Activity Date/Time: | 2017-03-20 |
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Description: |
Date that the source FGDC record was last modified. |
Activity Log 2
Activity Date/Time: | 2017-11-14 |
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Description: |
Converted from FGDC Content Standards for Digital Geospatial Metadata (version FGDC-STD-001-1998) using 'fgdc_to_inport_xml.pl' script. Contact Tyler Christensen (NOS) for details. |
Activity Log 3
Activity Date/Time: | 2018-02-08 |
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Description: |
Partial upload of Positional Accuracy fields only. |
Activity Log 4
Activity Date/Time: | 2018-03-13 |
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Description: |
Partial upload to move data access links to Distribution Info. |
Technical Environment
Description: |
Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 2; ESRI ArcCatalog 9.2.0.1324 |
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Data Quality
Horizontal Positional Accuracy: |
Not specified in final report, assumed to be 1 m. |
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Vertical Positional Accuracy: |
The Root Mean Square Error (RMSE) of the data is 0.04 meters. Accuracy was assessed using 2,832 ground survey RTK (real time kinematic) points. These ground survey points are distributed throughout the Umpqua River study area. The final LiDAR Report for the Umpqua River study area may be accessed at: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/1429/supplemental/Umpqua_River_LiDAR_Data_Report.pdf |
Completeness Report: |
LiDAR data has been collected and processed for all areas within the project study area. |
Conceptual Consistency: |
LiDAR flight lines have been examined to ensure that there is at least 50% sidelap, that there are no gaps between flightlines, and that overlapping flightlines have consistent elevation values. Shaded relief images have been visually inspected for data errors such as pits, border artifacts, gaps, and shifting. |
Lineage
Process Steps
Process Step 1
Description: |
No metadata was provided to NOAA OCM with this data set. The following process step is derived from the Watershed Sciences, Inc. lidar report. This report may be accessed at: https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid18/1429/supplemental/Umpqua_River_LiDAR_Data_Report.pdf Acquisition 1. The lidar data were collected between April 21 - July 13, 2009. 2. The survey used a Leica ALS50 Phase II and an ALS60 Phase II sensor mounted in a Cessna Caravan 208B. 3. Near nadir scan angles were used to increase penetration of vegetation to ground surfaces. 4. Ground level GPS and aircraft IMU were collected during the flight. Processing 1. Laser point coordinates are computed using the IPAS and ALS Post Processor software suites based on independent data from the LiDAR system (pulse time, scan angle), and aircraft trajectory data (SBET). Laser point returns (first through fourth) are assigned an associated (x, y, z) coordinate along with unique intensity values (0-255). The data are output into large LAS v. 1.2 files; each point maintains the corresponding scan angle, return number (echo), intensity, and x, y, z (easting, northing, and elevation) information. 2. These initial laser point files are too large to process. To facilitate laser point processing, bins (polygons) are created to divide the dataset into manageable sizes (less than 500 MB). Flightlines and LiDAR data are then reviewed to ensure complete coverage of the study areas and positional accuracy of the laser points. 3. Once the laser point data are imported into bins in TerraScan, a manual calibration is performed to assess the system offsets for pitch, roll, heading and mirror scale. Using a geometric relationship developed by Watershed Sciences, each of these offsets is resolved and corrected if necessary. |
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Process Step 2
Description: |
4. The LiDAR points are then filtered for noise, pits and birds by screening for absolute elevation limits, isolated points and height above ground. Each bin is then inspected for pits and birds manually; spurious points are removed. For a bin containing approximately 7.5 - 9.0 million points, an average of 50 - 100 points are typically found to be artificially low or high. These spurious non-terrestrial laser points must be removed from the dataset. Common sources of non-terrestrial returns are clouds, birds, vapor, and haze. 5. The internal calibration is refined using TerraMatch. Points from overlapping lines are tested for internal consistency and final adjustments are made for system misalignments (i.e., pitch, roll, heading offsets and mirror scale). Automated sensor attitude and scale corrections yield 3 - 5 cm improvements in the relative accuracy. Once the system misalignments are corrected, vertical GPS drift is then resolved and removed per flight line, yielding a slight improvement (less than 1 cm) in relative accuracy. At this point in the workflow, data have passed a robust calibration designed to reduce inconsistencies from multiple sources (i.e. sensor attitude offsets, mirror scale, GPS drift) using a procedure that is comprehensive (i.e. uses all of the overlapping survey data). Relative accuracy screening is complete. 6. The TerraScan software suite is designed specifically for classifying near-ground points (Soininen, 2004). The processing sequence begins by removing all points that are not near the earth based on geometric constraints used to evaluate multi-return points. The resulting bare earth (ground) model is visually inspected and additional ground point modeling is performed in site-specific areas (over a 50-meter radius) to improve ground detail. This is only done in areas with known ground modeling deficiencies, such as: bedrock outcrops, cliffs, deeply incised stream banks, and dense vegetation. In some cases, ground point classification includes known vegetation (i.e., understory, low/dense shrubs, etc.) and these points are reclassified as non-grounds. Ground surface rasters are developed from triangulated irregular networks (TINs) of ground points. |
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Process Step 3
Description: |
The NOAA Office for Coastal Management (OCM) received the files in las format. The files contained LiDAR elevation and intensity measurements. The data were in UTM Zone 10 NAD83(CORS96) projection, NAVD88 (Geoid03) vertical datum and units were in meters. OCM performed the following processing for data storage and Digital Coast provisioning purposes: 1. The data were converted from UTM Zone 10 coordinates to geographic coordinates. 2. The data were converted from NAVD88 (orthometric) heights to GRS80 (ellipsoid) heights using Geoid03. 3. The data were sorted by time and zipped to laz format. |
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Process Date/Time: | 2012-12-01 00:00:00 |
Catalog Details
Catalog Item ID: | 50112 |
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GUID: | gov.noaa.nmfs.inport:50112 |
Metadata Record Created By: | Anne Ball |
Metadata Record Created: | 2017-11-15 15:24+0000 |
Metadata Record Last Modified By: | SysAdmin InPortAdmin |
Metadata Record Last Modified: | 2022-08-09 17:11+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 |