Grabowski, J.D. Chelgren, N.D. Hafen, K.C. Overstreet, B.O. 20241127 remote-sensing image data release doi:10.5066/P13NGP7X https://doi.org/10.5066/P13NGP7X https://www.sciencebase.gov/catalog/item/65f09aead34e140332983f83 In June and September, 2022, NV5 Geospatial collected aerial imagery and near-infrared (NIR) lidar from crewed aircraft over 62 square kilometers over headwater streams in the Donner und Blitzen River watershed in southeastern Oregon. Repeat data were collected along Mud Creek and Bridge Creek on the western slope of Steens Mountain. This data release includes orthoimagery and lidar data, including point clouds, bare-earth elevation rasters, and intensity rasters, from both June and September 2022, and a tiling index. This documentation describes the orthoimagery from the June data collection. Documentation is adapted from information provided by NV5 Geospatial to the U.S. Geological Survey. This dataset was created to assess the presence of surface water in small streams utilizing remote sensing from crewed aircraft. The presence of surface water, in particular during the low-flow summer season, has important ecological, physical, and regulatory implications in small streams such as those of the Donner und Blitzen watershed. Data were collected in the Donner und Blitzen basin on June 23 and September 9, 2022, and are intended for evaluation of variation in surface water extent during the summer low-flow season. All data collection and processing were completed by NV5 Geospatial. The USGS reviewed the data for completeness and consistency prior to final acceptance from the contractor. 20220623 ground condition Complete None planned -118.858528 -118.704371 42.854167 42.757612 USGS Thesaurus remote sensing lidar aerial photography hydrology ISO 19115 Topic Categories imageryBaseMapsEarthCover inlandWaters geoscientificInformation None Orthoimagery USGS Metadata Identifier USGS:65f09aead34e140332983f83 Geographic Names Information System (GNIS) Harney County Steens Mountain Mud Creek Bridge Creek Big Bridge Creek Little Bridge Creek Lambing Creek None Malheur National Wildlife Refuge None The U.S. Geological Survey shall not be held liable for improper or incorrect use of the data retrieved from the system. Public domain data from the U.S. Government are freely redistributable with proper metadata and source attribution. The U.S. Geological Survey should be acknowledged as the data source in products derived from these data. Overstreet, Brandon T. U.S. Geological Survey Hydrologist mailing and physical address

601 SW 2nd Ave, Ste 1950

Portland Oregon 97204 United States 000-000-0000 gs-w-or_sciencebase@usgs.gov NV5 Geospatial collected and processed aerial imagery and near-infrared (NIR) light detecting and ranging (lidar) data. NV5 Geospatial also produced a tile index shapefile and report documenting data quality and spatial coverage. Version 6.2 (Build 9200) ; Esri ArcGIS 10.3.1.5004 Orthoimagery flight lines have been examined to ensure that there was at least 60 percent along track overlap and 30 percent sidelap between frames. A visual qualitative assessment was performed by NV5 Geospatial and the USGS to ensure data completeness. No ground control data were collected for the study and no formal horizontal accuracy assessments were performed. NV5 Geospatial estimated horizontal accuracy as a function of flight altitude and GNSS positional error. Horizontal accuracy was estimated at 0.23 m, indicating a 95 percent confidence that a theoretical point will fall within a 0.23 m radius of its true position. Imagery data were collected by NV5 Goespatial on June 23, 2022 from a Cessna Caravan aircraft with a mounted UltraCam Eagle M3, large format camera. The survey was completed at 2,200 m above ground level (AGL), with 60 percent along-track overlap, and 30 percent cross-track overlap. 20220623 Imagery data were processed by NV5 Geospatial to produce orthoimagery rasters. 20220907 Orthoimagery rasters were clipped to 1 by 1-kilometer (km) tiles by NV5 Geospatial and delivered to the U.S. Geological survey along with lidar point clouds, bare-earth elevation rasters, lidar intensity rasters, and a processing report. 20230403 Raster Pixel 10000 10000 NAD 1983 2011 UTM zone 11N 0.9996 -117.0 0.0 500000.0 0.0 row and column 0.1 0.1 Meters North American Datum of 1983 2011 GRS_1980 6378137.0 298.257223563 Orthoimagery Orthoimagery rasters with 4-band, 8-bit data for each approximate 0.1 by 0.1-meter cell. The orthoimagery is split into 88 tiles, which each occupy a 1 by 1-km area. Each tile is named according to the convention 11TLHXXXX.tif. The first two digits indicate the UTM zone, which is 11 N. The last 4 digits, XXXX, represent a UTM ID, which consists of the 10,000 and 1,000th place of the UTM easting value, and the 10,000 and 1,000th place of the UTM northing value together as a four digit code. For example, the UTM ID for the tile in UTM zone 11, with the southwest corner at 353000 m E, 4743000 m N, has a file name of 11TLH5343.tif. A tile index shapefile is also included in this data release, which delineates the spatial coverage of the 1 by 1-km tiles. The shapefile has a "Tile" field, which can be used to identify the spatial coverage of identify the spatial coverage of a remote sensing data file. NV5 Geospatial Band_1 Red band NV5 Geospatial 0 255 Band_2 Green band NV5 Geospatial 0 255 Band_3 Blue band NV5 Geospatial 0 255 Band_4 Near-infrared (NIR) band NV5 Geospatial 0 255 DonnerBlitzen_TileIndex_2022.shp Shapefile with polygons representing the 1 by 1-km tiles which spatial data in this data release are clipped to. The attribute "Tile" within the shapefile can be used to identify spatial coverage of a remote sensing data file. NV5 Geospatial FID The feature ID of each polyline. ESRI 0 87 SHAPE Feature geometry ESRI Coordinates defining the features Tile Tile ID for the 1 by 1-km tiles. The Tile IDs are used in the file naming convention for the remote sensing data in this data release, including orthoimagery, bare-earth elevation rasters, and point clouds. NV5 Geospatial Tile ID in a text field. U.S. Geological Survey - ScienceBase Mailing and Physical

Denver Federal Center

Building 810

Mail Stop 302

Denver CO 80225 United States 1-888-275-8747 sciencebase@usgs.gov Although these data have been used by the U.S. Geological Survey, U.S. Department of the Interior, no warranty expressed or implied is made by the U.S. Geological Survey as to the accuracy of the data. The act of distribution shall not constitute any such warranty, and no responsibility is assumed by the U.S. Geological Survey in the use of these data, software, or related materials. The use of firm, trade, or brand names in this report is for identification purposes only and does not constitute endorsement by the U.S. Geological Survey. The names mentioned in this document may be trademarks or registered trademarks of their respective trademark owners. TIFF Esri ArcGIS 10.3.1.5004 8-bit TIFF 8-bit unsigned integer TIFF stored as a Cloud-Optimized Geotiff (COG), which facilitates web visualization. https://doi.org/10.5066/P13NGP7X None. This dataset is provided by USGS as a public service. 20260320 Grabowski, Julia D. U.S. Geological Survey Hydrologist mailing and physical address

601 SW 2nd Ave, Ste 1950

Portland Oregon 97204 United States 000-000-0000 gs-w-or_sciencebase@usgs.gov FGDC Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998 local time