gov.noaa.nmfs.inport:58242
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)
point
8958181910
2016 FEMA Lidar: Malheur, OR
2016_FEMA_Malheur_OR
2019-11-25
publication
NOAA/NMFS/EDM
58242
https://www.fisheries.noaa.gov/inport/item/58242
WWW:LINK-1.0-http--link
Full Metadata Record
View the complete metadata record on InPort for more information about this dataset.
information
https://coast.noaa.gov/dataviewer/
WWW:LINK-1.0-http--link
NOAA's Office for Coastal Management (OCM) Data Access Viewer (DAV)
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.
download
This data set is a high resolution data set of lidar covering the total task order area (approximately 885 square miles) in southeast Oregon. The lidar data was acquired and processed under the requirements identified in this task order. The data delivered in this task order is compliant with US. Geological Survey National Geospatial Program Lidar Base Specification Version 1.2. Lidar data is a remotely sensed high resolution elevation data collected by an airborne platform. The lidar sensor uses a combination of laser range finding, GPS positioning, and inertial measurement technologies. The lidar systems collect data point clouds that are used to produce highly detailed Digital Elevation Models (DEMs) of the earth's terrain, man-made structures, and vegetation. The task required the LiDAR data to be collected at a nominal pulse spacing (NPS) of 0.35 meters. The final products include classified LAS, 0.5 meter pixel raster DEMs of the bare-earth surface in ERDAS IMG Format, and Intensity data in TIFF format. Tiled data was delivered in 1500m x 1500m tiles. Each LAS file contains lidar point information, which has been calibrated, controlled, and classified. Additional deliverables include hydrologic breakline data, bridge abutment breaklines, control data, project boundary, and tile index provided as ESRI shapefile, lidar processing and survey reports in PDF format, FGDC metadata files for each data deliverable in .xml format, and LAS swath data. Ground conditions: Water at normal levels; no unusual inundation; no snow; leaf off.
FEMA HQ Malheur, OR QL1 Lidar 0.35m NPS Lidar Data
Acquisition and Processing Production Task
USGS Contract No. G10PC00057
Task Order No. G15PD00642
Woolpert Order No. 75818
Contractor: Woolpert, Inc.
Data is used for mapping to assist in geologic hazards mapping such as landslide hazard maps.
FEMA, Woolpert, OLC
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
Office for Coastal Management
2234 South Hobson Avenue
Charleston
SC
29405-2413
https://www.coast.noaa.gov/
WWW:LINK-1.0-http--link
Office for Coastal Management Website
Website listed for Office for Coastal Management
information
custodian
asNeeded
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/8929/supplemental/extent_2016_FEMA_Malheur_m8929.kmz
This graphic displays the footprint for this lidar data set.
KML
EARTH SCIENCE > LAND SURFACE > TOPOGRAPHY > TERRAIN ELEVATION
EARTH SCIENCE > OCEANS > BATHYMETRY/SEAFLOOR TOPOGRAPHY > BATHYMETRY > COASTAL BATHYMETRY
EARTH SCIENCE > OCEANS > COASTAL PROCESSES > COASTAL ELEVATION
theme
Global Change Master Directory (GCMD) Science Keywords
17.0
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA > OREGON
VERTICAL LOCATION > LAND SURFACE
VERTICAL LOCATION > SEA FLOOR
Continent > North America > United States
Continent > North America > United States Of America > U.S. Coastline
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
Lidar - partner (no harvest)
project
InPort
otherRestrictions
Cite As: OCM Partners, [Date of Access]: 2016 FEMA Lidar: Malheur, OR [Data Date Range], https://www.fisheries.noaa.gov/inport/item/58242.
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: Woolpert prepared the original data as set forth in the Scope of Services, in accordance with reasonable care and due diligence as set forth in this Agreement, however, due to the easily alterable nature of electronic media, files, documents, and other deliverables, Woolpert, Inc. makes no warranties, either expressed or implied, with respect to the accuracy, completeness, merchantability, or fitness for any particular purpose, including, but not limited to, use of any/all data as described within this metadata file, by any user of this data. Any use will be at the end-user’s sole risk.
Any conclusions drawn from the analysis of this information are not the responsibility of NOAA, the Office for Coastal Management or its partners
unclassified
2016 FEMA Lidar DEM, Malheur, OR
NOAA/NMFS/EDM
58252
crossReference
NOAA Data Management Plan (DMP)
NOAA/NMFS/EDM
58242
https://www.fisheries.noaa.gov/inportserve/waf/noaa/nos/ocmp/dmp/pdf/58242.pdf
WWW:LINK-1.0-http--link
NOAA Data Management Plan (DMP)
NOAA Data Management Plan for this record on InPort.
information
crossReference
vector
.25
eng; US
elevation
Microsoft Windows 7 Version 6.1 (Build 7600); ArcMap 10.2; ArcCatalog 10.2; TerraScan ver. 16.01; Global Mapper v.17 TerraModeler ver. 16.01; Geocue 2014.1.21; LP360 2015.1. Leica Lidar Survey Studio Approximate size of entire delivery dataset = 3.0 TB
-117.532244
-116.562224
42.403149
43.191709
| Currentness: Ground Condition
2016-03-23
| Currentness: Ground Condition
2016-03-24
| Currentness: Ground Condition
2016-03-25
| Currentness: Ground Condition
2016-03-26
| Currentness: Ground Condition
2016-03-30
| Currentness: Ground Condition
2016-03-31
| Currentness: Ground Condition
2016-04-02
| Currentness: Ground Condition
2016-04-03
| Currentness: Ground Condition
2016-04-06
| Currentness: Ground Condition
2016-04-07
| Currentness: Ground Condition
2016-04-08
| Currentness: Ground Condition
2016-04-09
| Currentness: Ground Condition
2016-06-08
| Currentness: Ground Condition
2016-06-09
| Currentness: Ground Condition
2016-06-10
| Currentness: Ground Condition
2016-06-15
The following are the USGS lidar fields in JSON:
{
"ldrinfo" : {
"ldrspec" : "USGS NGP Base Specifications v1.2",
"ldrsens" : "Leica Dual-Head DragonEye",
"ldrmaxnr" : "15",
"ldrnps" : "0.350",
"ldranps" : "0.350",
"ldrdens" : "8",
"ldradens" : "8",
"ldrfltht" : "900",
"ldrfltsp" : "125",
"ldrscana" : "40",
"ldrscanr" : "50",
"ldrpulsr" : "520",
"ldrpulsd" : "5",
"ldrpulsw" : "2.5",
"ldrwavel" : "1064",
"ldrmpia" : "1",
"ldrbmdiv" : "0.20",
"ldrswatw" : "655",
"ldrswato" : "15",
"ldrcrs" : "NAD83(2011) UTM11N meters",
"ldrgeoid" : "GEOID12B"
},
"ldraccur" : {
"ldrchacc" : "0.163",
"rawnva" : "0.096",
"rawnvan" : "106",
"clsnva" : "0.072",
"clsvva" : "0.145"
},
"lasinfo" : {
"lasver" : "1.4",
"lasprf" : "6",
"laswheld" : "Geometrically unreliable points were identified using a combination of automated and manual techniques and subsequently classified as high or low noise.",
"lasolap" : "Swath overlap points were identified in these files by adding 16 to the standard classification values yielding overlap default and overlap ground, overlap water, and overlap ignored ground. Flags were then applied to these points and subsequently reclassified to their respective standard classification values",
"lasintr" : "16",
"lasclass" : {
"clascode" : "1",
"clasitem" : "default/unclassified"
},
"lasclass" : {
"clascode" : "2",
"clasitem" : "Bare-earth"
},
"lasclass" : {
"clascode" : "7",
"clasitem" : "Low noise"
},
"lasclass" : {
"clascode" : "9",
"clasitem" : "Water"
},
"lasclass" : {
"clascode" : "10",
"clasitem" : "Ignored ground"
},
"lasclass" : {
"clascode" : "17",
"clasitem" : "Bridge Decks"
},
"lasclass" : {
"clascode" : "18",
"clasitem" : "High Noise"
}
}}
Zip
Zip
LAS/LAZ - LASer
Zip
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=8929
WWW:LINK-1.0-http--link
Customized Download
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. Change to an orthometric vertical datum is one of the many options.
download
https://noaa-nos-coastal-lidar-pds.s3.amazonaws.com/laz/geoid12b/8929/index.html
WWW:LINK-1.0-http--link
Bulk Download
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. They will be in an orthometric datum.
download
dataset
Horizontal Positional Accuracy
Produced to meet 0.163 meters horizontal accuracy at 95 percent confidence level. Quantitative value: 0.163 meters, Test that produced the valued: Lidar system specifications are available in the project report
Vertical Positional Accuracy
LAS data covering the FEMA HQ Malheur, OR QL1 Lidar Task Order was compared to independent survey control points to determine the NVA of the Raw Swath and of the Bare-Earth DEM. In addition, this LAS data was compared to independent VVA points.
Raw Swath Non-Vegetated Vertical Accuracy (NVA) Tested 0.096 Meters at a 95 percent confidence level, derived according to NSSDA, in open terrain using (RMSEz) x 1.96000 as defined by the National Standards for Spatial Data Accuracy (NSSDA); assessed and reported using National Digital Elevation Program (NDEP)/ASPRS Guidelines and tested against the TIN using all points.
Relative accuracy also known as "between swath" accuracy was tested through a series of well distributed flight line overlap locations. The relative accuracy for the FEMA HQ Malheur, OR QL1 Lidar tested at 0.024 meters RMSDz. 106 NVA checkpoints were used.
VVA Errors larger than 95th percentile include:
Point 3026A, Easting 498042.052, Northing 4742435.108, Z-Error 0.182 Meters
Point 3028, Easting 477766.450, Northing 4776987.527, Z-Error 0.148 Meters
Point 3031A, Easting 453424.625, Northing 4745041.067, Z-Error 0.147 Meters
Point 3036A, Easting 496091.977, Northing 4784616.171, Z-Error 0.170 Meters
Completeness Report
The lidar data is visually inspected for completeness to ensure that are no void areas or missing data.
Conceptual Consistency
All formatted data cover the entire area specified for this project and are validated using a combination of commercial lidar processing software, GIS software, and proprietary programs to ensure proper formatting and loading prior to delivery.
All lidar data were acquired using a Dual-Head DragonEye (DE) sensor owned and operated by GDS installed in a Cessna 401. The sensor was mounted in a Leica PAV100 gyro-stabilized mount integrated with a NovAtel SPAN GNSS and LCI-100C IMU. Real time navigation and GNSS/IMU data logging was provided by Leica FlightPro software. Lidar data were logged on the Airborne Hydrography, AB (AHAB) operator console. A calibration flight was conducted at Nampa Airport, ID on 30 March, 2016. Project data were acquired from 23 March 2016 until 09 April, 2016. Some blocks remained snow covered at this time. Once the snow had cleared, calibration flights were conducted at Nampa Airport, ID on 08 and 09 June, 2016, with the final survey data being acquired on 10 June and 15 June, 2016. Field calibration of the DE system is carried out to eliminate systematic errors by calculating corrections for boresight errors, scanner angle errors, remaining IMU angle errors and any necessary internal timing errors. Initial data coverage analysis and quality checks were performed to ensure there were no potential system issues were carried out in the field prior to demobilization of the sensor. Data were initially processed in Leica’s Lidar Survey Studio (LSS) using final processed trajectory information. LAS files from LSS were imported to a Terrascan project where spatial algorithms were used to remove gross system noise and a basic ground classification was conducted per flight line for Terra Match use. TMatch was then run on the project, and a comparison to the lidar control points was conducted. This calibrated/controlled LAS dataset was then provided to Woolpert for further processing and deliverable production.
2016-03-23T00:00:00
Woolpert utilized 2 Trimble Navigation R10 Model GNSS dual-frequency GPS receivers and 1 TSC3 data collector for this project. The field crew utilized Real-Time Kinematic (RTK) and GPS Rapid Static methods throughout the ground control data collection process. Using these techniques, observations were performed on a total of 244 LiDAR control points. The survey was conducted using a 1-second epoch rate, in a fixed solution RTK mode, with each observation lasting between 60 to 180 seconds. Each station was occupied twice to insure the necessary horizontal and vertical accuracies were being met for this LiDAR / photogrammetric project.
2016-03-09T00:00:00
Once calibration of the flightline data was completed by GDS the data was then provided to Woolpert. The point cloud underwent a classification process to determine bare-earth points and non-ground points utilizing "first and only" as well as "last of many" lidar returns. This process determined Default (Class 1), Ground (Class 2), Low Noise (Class 7), Water (Class 9), Ignored Ground (Class 10), Bridge Decks (Class 17) and High Noise (Class 18). The bare-earth (Class 2 - Ground) lidar points underwent a manual QA/QC step to verify the quality of the DEM as well as a peer-based QC review. This included a review of the DEM surface to remove artifacts and ensure topographic quality. Classification of water (class 9) and ignored ground (class 10) was completed via the use of the hydrologic breaklines collected for the hydro-flattening phase. The overlap classes were determined by first identifying the overlapping areas and reclassifying the LAS data by offset from a corridor. This allows the returns located on the edge of the swath to be removed from the bare earth coverage in an effort to produce a more uniform data density. The returns determined to be overlap including overlap default, ground, water, and ignored ground are then applied an overlap flag and reclassified to their respective standard classification value. Supervisory QC monitoring of work in progress and completed editing ensured consistency of classification character and adherence to project requirements across the entire project area. The resulting deliverables for this task order consist of classified LAS file in LAS 1.4 format, Raw Swath LAS files in LAS 1.4 format, 0.5 meter pixel size DEM files in ERDAS IMG format, 8-bit Intensity files in GeoTIFF format, Hydrologic and Bridge abutment breakline data in ESRI Geodatabase format.
2016-03-23T00:00:00
NOAA/OCM received the data from DOGAMI in LAZ format . Data were in NAD83(2011) UTM 11N horizontally and NAVD88 (Geoid12b) vertically. All units were international feet. For ingest into the Digital Coast Data Access Viewer data were converted to geographic coordinates on the GRS80 ellipsoid in meters.
Office for Coastal Management
processor
Source Contribution: This data set is the project specified acquired point cloud data.
Lidar acquisition
2016-10-31
publication
Geomatics Data Solutions
originator
2016-03-23
Source Contribution: This data set is the project specified lidar deliverables.
Lidar deliverable processing
2016-10-31
publication
Woolpert
originator
2016-03-23
Source Contribution: This data set is the project specified acquired ground control and QAQC control data.
Survey Control Acquisition
2016-10-31
publication
Woolpert
originator
2016-03-09