gov.noaa.nmfs.inport:62822
eng
UTF8
dataset
Elevation
OCM Partners
resourceProvider
NOAA Office for Coastal Management
(843) 740-1202
2234 South Hobson Ave
Charleston
SC
29405-2413
coastal.info@noaa.gov
https://coast.noaa.gov
WWW:LINK-1.0-http--link
NOAA Office for Coastal Management Website
NOAA Office for Coastal Management Home Page
information
pointOfContact
2024-02-29T00:00:00
ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data
ISO 19115-2:2009(E)
2005 South Slough NERR Lidar DEM: Coos Bay, OR
2005
publication
NOAA/NMFS/EDM
62822
https://www.fisheries.noaa.gov/inport/item/62822
WWW:LINK-1.0-http--link
Full Metadata Record
View the complete metadata record on InPort for more information about this dataset.
information
https://noaa-nos-coastal-lidar-pds.s3.us-east-1.amazonaws.com/dem/OLC_South_Slough_NERR_DEM_2005_9177/supplemental/South_Slough_Esturary_Reserve_2005_Survey_Report.pdf
WWW:LINK-1.0-http--link
Dataset report
Link to dataset report.
download
The dataset covers the South Slough Estuary of Coos Bay, near Charleston, Oregon.
The bare earth digital elevation models (DEM) represent the earth's surface with all vegetation and human-made structures removed. The bare earth DEMs were derived from LiDAR data using TIN processing of the ground point returns. The DEM grid cell size is one meter.
Watershed Sciences, Inc. collected the LiDAR and created this data set for the South Slough National Estuarine Research Reserve.
Provide high resolution terrain elevation and land cover elevation data.
South Slough National Estuarine Research Reserve, Watershed Sciences, Inc.
completed
NOAA Office for Coastal Management
(843) 740-1202
2234 South Hobson Ave
Charleston
SC
29405-2413
coastal.info@noaa.gov
https://coast.noaa.gov
WWW:LINK-1.0-http--link
NOAA Office for Coastal Management Website
NOAA Office for Coastal Management Home Page
information
pointOfContact
NOAA Office for Coastal Management
(843) 740-1202
2234 South Hobson Ave
Charleston
SC
29405-2413
coastal.info@noaa.gov
https://coast.noaa.gov
WWW:LINK-1.0-http--link
NOAA Office for Coastal Management Website
NOAA Office for Coastal Management Home Page
information
custodian
notPlanned
https://noaa-nos-coastal-lidar-pds.s3.us-east-1.amazonaws.com/dem/OLC_South_Slough_NERR_DEM_2005_9177/supplemental/SouthSlough_extent_m9177.kmz
This graphic displays the footprint for this lidar DEM data set.
KMZ
EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION
EARTH SCIENCE > OCEANS > BATHYMETRY/SEAFLOOR TOPOGRAPHY > SEAFLOOR TOPOGRAPHY
EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL ELEVATION
Coos Bay
Oregon
Pacific Northwest
U.S. Coastline
Western Oregon
theme
Global Change Master Directory (GCMD) Science Keywords
17.0
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA
VERTICAL LOCATION > LAND SURFACE
VERTICAL LOCATION > SEA FLOOR
place
Global Change Master Directory (GCMD) Location Keywords
17.0
LIDAR > Light Detection and Ranging
instrument
Global Change Master Directory (GCMD) Instrument Keywords
17.2
Airplane > Airplane
platform
Global Change Master Directory (GCMD) Platform Keywords
17.2
DEMs - partner (no harvest)
project
InPort
otherRestrictions
Cite As: OCM Partners, [Date of Access]: 2005 South Slough NERR Lidar DEM: Coos Bay, OR [Data Date Range], https://www.fisheries.noaa.gov/inport/item/62822.
NOAA provides no warranty, nor accepts any liability occurring from any incomplete, incorrect, or misleading data, or from any incorrect, incomplete, or misleading use of the data. It is the responsibility of the user to determine whether or not the data is suitable for the intended purpose.
otherRestrictions
Access Constraints: None
otherRestrictions
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.
otherRestrictions
Distribution Liability: Any conclusions drawn from the analysis of this information are not the responsibility of NOAA, the Office for Coastal Management or its partners
unclassified
NOAA Data Management Plan (DMP)
NOAA/NMFS/EDM
62822
https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/ocmp/dmp/pdf/62822.pdf
WWW:LINK-1.0-http--link
NOAA Data Management Plan (DMP)
NOAA Data Management Plan for this record on InPort.
information
crossReference
eng; US
elevation
Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 2; ESRI ArcCatalog 9.1.0.722
-124.3554
-124.28767
43.248964
43.377806
Date of lidar collection. | Currentness: Ground Condition
2005-09-05
Zip
Zip
GeoTIFF
NOAA Office for Coastal Management
(843) 740-1202
2234 South Hobson Ave
Charleston
SC
29405-2413
coastal.info@noaa.gov
https://coast.noaa.gov
WWW:LINK-1.0-http--link
NOAA Office for Coastal Management Website
NOAA Office for Coastal Management Home Page
information
distributor
https://coast.noaa.gov/dataviewer/#/lidar/search/where:ID=9177/details/9177
WWW:LINK-1.0-http--link
Customized Download
Create custom data files by choosing data area, map projection, file format, etc. A new metadata will be produced to reflect your request using this record as a base.
download
https://noaa-nos-coastal-lidar-pds.s3.us-east-1.amazonaws.com/dem/OLC_South_Slough_NERR_DEM_2005_9177/index.html
WWW:LINK-1.0-http--link
Bulk Download
Bulk download of data files in the original coordinate system.
download
dataset
Horizontal Positional Accuracy
Qualitative value: 1/3000th AGL, See LiDAR data report.
Vertical Positional Accuracy
The Root Mean Square Error (RMSE) of the data set is 0.027 meters. Accuracy was assessed using 574 ground survey (real time kinematic) points. See LiDAR data report for more details.
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 was at least 50% sidelap, there are no gaps between flightlines, and overlapping flightlines have consistent elevation values.
Shaded relief images have been visually inspected for data errors such as pits, border artifacts, gaps, and shifting. The data was examined at a 1:3500 scale.
Acquisition.
The LiDAR data was collected during September 2005. An Optech 3100 LiDAR system was mounted in a fixed-wing aircraft and flown 1,100 meters above ground level (AGL). A pulse repetition frequency (PRF) of 71 kHz with at least 100% overlap (minimum 50% side-lap) was used. Greater than 4 points per square meter and near nadir scan angles were used to increase penetration of vegetation to ground surfaces. Ground level GPS and aircraft IMU were collected during the flight.
Processing.
1. Flight lines and data were reviewed to ensure complete coverage of the study area and positional accuracy of the laser points.
2. Laser point return coordinates were computed using the REALM survey suite and PosPac based on independent data from the LiDAR system, IMU, and aircraft.
3. The raw LiDAR file was assembled into flight lines per return with each point having an associated x, y, and z coordinate.
4. Visual inspection of swath to swath laser point consistencies within the study area were used to perform manual refinements of system alignment.
5. Custom algorithms were designed to evaluate points between adjacent flight lines. Automated system alignment was computed based upon randomly selected swath to swath accuracy measurements that consider elevation, slope, and intensities. Specifically, refinement in the combination of system pitch, roll and yaw offset parameters optimize internal consistency.
6. Noise (e.g., pits and birds) was filtered using REALM software tools based on known elevation ranges and included the removal of any cycle slips.
7. Using TerraScan and Microstation, ground classifications utilized custom settings appropriate to the study area.
8. The corrected and filtered return points were compared to the RTK ground survey points collected to verify the vertical and horizontal accuracies.
9. Points were broken into processing bins and output areas and output as laser points, TINed and GRIDed surfaces.
The NOAA Office for Coastal Management (OCM) received 1 raster DEM file in ESRI ArcGrid format from DOGAMI. The data were in UTM Zone 10 (NAD83 HARN) coordinates and NAVD88 (Geoid03) elevations in meters. The bare earth raster files were at a 1 m grid spacing.
OCM performed the following processing on the data for Digital Coast storage and provisioning purposes:
1. Used internal script to assign the EPSG codes (Horiz - 3740, Vert - 5703) and convert to GeoTiff format.
2. Copied the files to https.
Office for Coastal Management
processor
Processed Lidar DEM
Watershed Sciences, Inc.
originator