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Short Citation:
OCM Partners, 2023: 2009 U.S. Geological Survey (USGS) Lidar: Umpqua River Study Area,

Item Identification

Title: 2009 U.S. Geological Survey (USGS) Lidar: Umpqua River Study Area
Short Name: usgs2009_or_umpqua_river_m1429_metadata
Status: Completed
Publication Date: 2012

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



Provide high resolution terrain elevation and land cover elevation data.



Supplemental Information:

The final LiDAR Report for the Umpqua River study area may be accessed at:

A footprint of this data set may be viewed in Google Earth at:


Theme Keywords

Thesaurus Keyword
ISO 19115 Topic Category
None Bare earth
None Bare ground
None High-resolution
None Light Detection and Ranging

Physical Location

Organization: Office for Coastal Management
City: Charleston
State/Province: SC

Data Set Information

Data Set Scope Code: Data Set
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

CC ID: 690918
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:
Phone: (843) 740-1202


CC ID: 690920
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:
Phone: (843) 740-1202

Metadata Contact

CC ID: 690921
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:
Phone: (843) 740-1202

Point of Contact

CC ID: 690919
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:
Phone: (843) 740-1202


Currentness Reference: Ground Condition

Extent Group 1

Extent Group 1 / Geographic Area 1

CC ID: 1133379
W° Bound: -123.667727
E° Bound: -123.374727
N° Bound: 43.607074
S° Bound: 43.367274

Extent Group 1 / Time Frame 1

CC ID: 1133378
Time Frame Type: Range
Start: 2009-04-21
End: 2009-07-13

Spatial Information

Spatial Representation

Representations Used

Vector: Yes

Access Information

Security Class: Unclassified
Data Access Procedure:

This data can be obtained on-line at the following URL:

This data set is dynamically generated based on user-specified parameters.


Data Access Constraints:


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


Distribution Information

Distribution 1

CC ID: 743089
Download URL:
File Name: Customized Download

Create custom data files by choosing data area, product type, map projection, file format, datum, etc.

Distribution 2

CC ID: 743090
Download URL:
File Name: Bulk Download

Simple download of data files.



CC ID: 743092
URL Type:
Online Resource


CC ID: 743093
URL Type:
Online Resource


CC ID: 743094
Name: Browse Graphic
URL Type:
Browse Graphic
File Resource Format: kmz

This graphic shows the lidar coverage for the Umpqua River Study Area.

Activity Log

Activity Log 1

CC ID: 690942
Activity Date/Time: 2017-03-20

Date that the source FGDC record was last modified.

Activity Log 2

CC ID: 690941
Activity Date/Time: 2017-11-14

Converted from FGDC Content Standards for Digital Geospatial Metadata (version FGDC-STD-001-1998) using '' script. Contact Tyler Christensen (NOS) for details.

Activity Log 3

CC ID: 718716
Activity Date/Time: 2018-02-08

Partial upload of Positional Accuracy fields only.

Activity Log 4

CC ID: 743091
Activity Date/Time: 2018-03-13

Partial upload to move data access links to Distribution Info.

Technical Environment


Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 2; ESRI ArcCatalog

Data Quality

Horizontal Positional Accuracy:

Not specified in final report, assumed to be 1 m.

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:

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.


Process Steps

Process Step 1

CC ID: 1133374

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:


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.


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.

Process Step 2

CC ID: 1133375

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.

Process Step 3

CC ID: 1133376

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.

Process Date/Time: 2012-12-01 00:00:00

Catalog Details

Catalog Item ID: 50112
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