2022 - 2024 USGS Lidar DEM: Southeast OR

Original Product: 0.5-meter Digital Elevation Model (DEM) data tiles in GeoTIFF format.

Original Dataset Geographic Extent:

OR_SouthEast_1 (Work Unit 300452): 5 counties in southeastern Oregon, covering approximately 4,385 total square miles. The counties include portions of : Deschutes, Klamath, Lake, Modoc, Washoe

OR_SouthEast_2 (Work Unit 300519): 2 counties in southeastern Oregon, covering approximately 2113 total square miles. The counties include portions of : Baker, Malheur

OR_SouthEast_3 (Work Unit 300520): 1 county in southeastern Oregon, covering approximately 1832 total square miles. The county includes portions of: Malheur

OR_SouthEast_4 (Work Unit 300521): 1 county in southeastern Oregon, covering approximately 1808 total square miles. The county includes portions of : Malheur

OR_SouthEast_5 (Work Unit 300522): 2 counties in southeastern Oregon, covering approximately 2411 total square miles. The counties include portions of : Harney, Malheur

OR_SouthEast_6 (Work Unit 300523): 4 counties in southeastern Oregon, covering approximately 1423 total square miles. The counties include portions of: Baker, Grant, Harney, Malheur

OR_SouthEast_7 (Work Unit 300524): 2 counties in southeastern Oregon, covering approximately 2034 total square miles. The counties include portions of: Harney, Malheur

OR_SouthEast_8 (Work Unit 300526): 2 counties in southeastern Oregon, covering approximately 3019 total square miles. The counties include portions of: Harney, Lake

OR_SouthEast_9 (Work Unit 300527): 4 counties in southeastern Oregon, covering approximately 2728 total square miles. The counties include portions of: Crook, Deschutes, Harney, Lake

OR_SouthEast_10 (Work Unit 300577): 9 counties in southeastern Oregon, covering approximately 2263 total square miles. The counties include portions of: Crook, Deschutes, Grant, Harney, Lake, Modoc, Morrow, Washoe, Wheeler

OR_SouthEast_11 (Work Unit 300578): 8 counties in southeastern Oregon, covering approximately 3157 total square miles. The counties include portions of: Deschutes, Douglas, Jackson, Klamath, Lake, Lane, Modoc, Siskiyou

OR_SouthEast_12 (Work Unit 300579): 7 counties in southeastern Oregon, covering approximately 5256 total square miles. The counties include portions of: Crook, Deschutes, Gilliam, Jefferson, Sherman, Wasco, Wheeler

OR_SouthEast_13 (Work Unit 300729): 7 counties in southeastern Oregon, covering approximately 46 total square miles. This block fills in gaps at the edge of the defined project area (DPA) that needed re-flights. The counties include portions of: Baker, Crook, Grant, Harney, Lake, Malheur, Wheeler

OR_SouthEast_14 (Work Unit 300730): 8 counties in southeastern Oregon, covering approximately 54 total square miles. This block fills in gaps at the edge of the defined project area (DPA) that needed re-flights. The counties include portions of: Crook, Deschutes, Jefferson, Klamath, Lake, Sherman, Wasco, Wheeler

Original Dataset Description: The OR_SouthEast_1_D22 project called for the planning, acquisition, processing, and derivative products of lidar data to be collected at an aggregate nominal pulse spacing (ANPS) of 0.35 meters. Project specifications are based on the "USGS Lidar Base Specification v2023 Revision A". The data were developed based on a horizontal projection/datum of NAD 1983 2011 UTM Zone 10N and 11N, Meters and vertical datum of NAVD88 Geoid 18, Meters. The DEM data was delivered as processed GeoTIFF files formatted to individual 1,000 m x 1,000 m tiles.

Ground Conditions:

OR_SouthEast_1 (Work Unit 300452): Lidar was collected in fall 2022 and spring 2023, while rivers were at or below normal levels.

OR_SouthEast_2 (Work Unit 300519): Lidar was collected from November 6, 2022, through Jun 15, 2023 while no snow was on the ground and rivers were at or below normal levels.

OR_SouthEast_3 (Work Unit 300520): Lidar was collected from November 8, 2022, through July 26, 2023 while no snow was on the ground and rivers were at or below normal levels.

OR_SouthEast_4 (Work Unit 300521): Lidar was collected from June 15, 2023 through July 23, 2023 while no snow was on the ground and rivers were at or below normal levels.

OR_SouthEast_5 (Work Unit 300522): Lidar was collected from June 15, 2023 through July 27, 2023 while rivers were at or below normal levels.

OR_SouthEast_6 (Work Unit 300523): Lidar was collected from June 2, 2023 through August 11, 2023 while no snow was on the ground and rivers were at or below normal levels.

OR_SouthEast_7 (Work Unit 300524): Lidar was collected from June 1, 2023 through September 10, 2023 while no snow was on the ground and rivers were at or below normal levels.

OR_SouthEast_8 (Work Unit 300526): Lidar was collected from June 6, 2023 through September 28, 2023.

OR_SouthEast_9 (Work Unit 300527): Lidar was collected from October 29, 2022 through November 11, 2023, using the specifications listed in lidar info tag.

OR_SouthEast_10 (Work Unit 300577): Lidar was collected in fall 2022 through summer 2023, while no snow was on the ground and rivers were at or below normal levels.

OR_SouthEast_11 (Work Unit 300578): Lidar was collected from October 4, 2022, through August 7, 2023.

OR_SouthEast_12 (Work Unit 300579): Lidar was collected from October 14, 2022, through November 15, 2023, using the specifications listed in lidar info tag.

OR_SouthEast_13 (Work Unit 300729): Lidar was collected from October 10, 2022 through October 10, 2024, using the specifications listed in lidar info tag.

OR_SouthEast_14 (Work Unit 300730): Lidar was collected from October 5, 2022 through October 7, 2024, using the specifications listed in lidar info tag.

This metadata record supports the data entry in the NOAA Digital Coast Data Access Viewer (DAV). For this data set, the DAV is leveraging the GeoTIFF files hosted by USGS on Amazon Web Services.

This project will support the 3DEP mission and state and local agencies for stormwater management, urban planning, historic and natural resource preservation, emergency service hazard assessment support and regional planning efforts.

USGS Contract No. 140G0221D0013, Task Order No. 140G0222F0211, Project Name: OR SouthEast D22. Contractor: Woolpert.

Raster File Type = GeoTIFF; Bit Depth/Pixel Type = 32-bit float; Raster Cell Size = 0.5 meter; Interpolation or Resampling Technique = Triangulated Irregular Network (TIN), Linear Interpolation, Proprietary; Required Vertical Accuracy = 0.196

Any conclusions drawn from the analysis of this information are not the responsibility of NOAA, the Office for Coastal Management or its partners.

OR_SouthEast_1 (Work Unit 300452)

OR_SouthEast_2 (Work Unit 300519)

OR_SouthEast_3 (Work Unit 300520)

OR_SouthEast_4 (Work Unit 300521)

OR_SouthEast_5 (WU 300522)

OR_SouthEast_6 (WU 300523)

OR_SouthEast_7 (WU 300524)

OR_SouthEast_8 (WU 300526)

OR_SouthEast_9 (WU 300527)

OR_SouthEast_10 (WU 300577)

OR_SouthEast_12 (WU 300579)

OR_SouthEast_13 (WU 300729)

OR_SouthEast_14 (WU 300730)

To the extent possible under law, the U.S. Government has waived all copyright and related or neighboring rights to this dataset.

Data is available online for bulk and custom downloads.

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.

OR_SouthEast_1

This data set was produced to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 12 (cm) RMSEh Horizontal Accuracy Class which equates to Positional Horizontal Accuracy = +/- 21 cm at a 95% confidence level.

OR_SouthEast_2, OR_SouthEast_3, OR_SouthEast_4, OR_SouthEast_5, OR_SouthEast_6, OR_SouthEast_7, OR_SouthEast_8

This data set was produced to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 0.16 m RMSEx / RMSEy Horizontal Accuracy Class which equates to Positional Horizontal Accuracy = +/- 0.39 m at a 95% confidence.

OR_SouthEast_9

This data set was produced to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 0.13 m RMSEx / RMSEy Horizontal Accuracy Class which equates to Positional Horizontal Accuracy = +/- 0.30 m at a 95% confidence level.

OR_SouthEast_10, OR_SouthEast_11

This data set was produced to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 12 (cm) RMSEh Horizontal Accuracy Class which equates to Positional Horizontal Accuracy = +/- 22 cm at a 95% confidence level.

OR_SouthEast_12

This data set was produced to meet ASPRS Positional Accuracy Standards for Digital Geospatial Data (2014) for a 12.6 (cm) RMSEh Horizontal Accuracy Class which equates to Positional Horizontal Accuracy = +/- 22 cm at a 95% confidence level.

OR_SouthEast_13

This work unit is comprised of tiles that required reflights and are adjacent to the following work units: OR_SouthEast_2_D22, OR_SouthEast_6_D22, OR_SouthEast_8_D22, OR_SouthEast_9_D22, and OR_SouthEast_10_D22. Given the scattered nature of these tiles, it was not possible to run the normal accuracy tests as an independent work unit. Please refer to the accuracy statement from the adjacent work units.

OR_SouthEast_14

This work unit is comprised of tiles that required reflights and are adjacent to the following work units: OR_SouthEast_1_D22, OR_SouthEast_11_D22, and OR_SouthEast_12_D22. Given the scattered nature of these tiles, it was not possible to run the normal accuracy tests as an independent work unit. Please refer to the accuracy statement from the adjacent work units.

This data set was produced to meet ASPRS Positional Accuracy Standard for Digital Geospatial Data (2014) for a 10-cm RMSEz Vertical Accuracy Class.

USGS Determined DEM Vertical Accuracy

Tested NVA RMSEz = 6.96 cm

Tested 95th percentile value for VVA is : 14.58 cm

For more information see the USGS project report and the lidar reports. The links to these reports are provided in the URL section of this metadata record.

Datasets contain complete coverage of tiles. No points have been removed or excluded. A visual qualitative assessment was performed to ensure data completeness. There are no void areas or missing data.

Data cover the entire area specified for this project.

The NOAA Office for Coastal Management (OCM) ingested references to the USGS GeoTIFF files that are hosted on Amazon Web Services (AWS), into the Digital Coast Data Access Viewer (DAV). The DAV accesses the raster data as it resides on AWS.