Ian P. Yuh Ralph A. Haugerud Jim E. O'Connor Scott J. O'Daniel 2024 vector digital data U.S. Geological Survey Scientific Investigation Map 3527 https://doi.org/10.5066/P13OOE7Q This geospatial database maps the distribution of landforms along the Umatilla River in northeastern Oregon and covers a corridor 127 kilometers long from the confluence of the Umatilla River with the Columbia River upstream to Meacham Creek. The database encompasses the valley bottom and extends about 1 kilometer up the adjoining hillslopes. Map data are intended to support water quality and fisheries enhancement efforts pursuant to the First Foods, a resource-management approach that focuses on traditionally gathered foods including water, fish, big game, roots, and berries and calls attention to the reciprocity between people and the foods upon which humans depend. The Umatilla River drains about 6,300 square kilometers on the northwest slope of the Blue Mountains in northeast Oregon. Most of the drainage basin is underlain by Miocene basalt flows of the Columbia River Basalt Group. Younger, weakly lithified, late Miocene and early Pliocene gravel deposits of local origin (for example, McKay Formation) are mapped in a few places. Upland surfaces are mantled with windborne silt (loess) correlative with deposits elsewhere known as the Palouse Formation. Surfaces below an elevation of about 340 meters were inundated repeatedly by large Pleistocene glacial outburst floods, most emanating from glacial Lake Missoula in western Montana. In backflooded areas such as the lower Umatilla River valley, Missoula floods deposited extensive slack-water silt. Areas mapped as open water, active channel and tie channel, flood basin, valley bottom, and modified land constitute the geomorphic floodplain: the area subject to occasional inundation by the Umatilla River. Deposits and landforms within the floodplain are inset into Missoula flood deposits and hence postdate the 20–15-kilo-annum Missoula floods. Some floodplain deposits are no more than a few centuries old, as indicated by substantial erosion and deposition during the Umatilla River flood of February 2020, the largest since systematic measurements began in October 1903. Deposits and landforms of the floodplain are transient features within the longer-term incision of the Umatilla River into mid-Miocene flood basalts and younger gravel of the McKay Formation. The purpose of this mapping effort is to provide map data to the Confederated Tribes of the Umatilla Indian Reservation to support water quality and fisheries enhancement efforts, pursuant to the First Foods, by establishing the context for understanding modern channel and floodplain processes. UmatillaMapping.gdb is a composite geodataset that conforms to "GeMS (Geologic Map Schema)--a standard format for digital publication of geologic maps", available at http://ngmdb.usgs.gov/Info/standards/GeMS/. The geodatabase contains the following elements: non-spatial table DataSources; non-spatial table GeoMaterialDict; non-spatial table DescriptionOfMapUnits; non-spatial table Glossary; feature dataset CorrelationOfMapUnits which contains feature classes CMULines, CMUMapUnitPolys, and CMUText; feature dataset GeologicMap which contains feature classes ContactsAndFaults, MapUnitPolys, LandUsePolys, and WoodyDebrisPolys. Non-spatial tables DataSources, DescriptionOfMapUnits, GeoMaterialDict, and Glossary store metadata. All spatial features and some non-spatial features have related entries in table DataSources. Table DescriptionOfMapUnits defines and describes geologic map units that are delimited in feature class MapUnitPolys. Most technical terms used as feature attributes (including all TYPE terms and all CONFIDENCE terms) are defined in table Glossary. Most features have explicit internal feature-level metadata, including LocationConfidenceMeters, one or more Source attributes, and--as appropriate--ExistenceConfidence and IdentityConfidence. 2020 Data set is derived from a lidar survey acquired in November, 2020, and imagery acquired in July to August, 2020. Complete None planned -119.3762 -118.3399 45.9286 45.6389 ISO 19115 Topic Category geoscientificInformation USGS Thesaurus geology geomorphology lidar geospatial datasets maps and atlases USGS Metadata Identifier USGS:93a3b5f5-c930-468f-aa9b-26212a9bcd97 Geographic Names Information System Oregon Umatilla County Umatilla Reservation Umatilla Hinkle Hermiston Stanfield Echo Nolin Pendleton Mission Cayuse Thorn Hollow Gibbon Umatilla River None. Please see 'Distribution Info' for details. None. Users are advised to read the dataset's metadata thoroughly to understand appropriate use and data limitations. U.S. Geological Survey Ian Yuh Geologist mailing

1819 SW 5th Ave, #336

Portland OR 97201 United States N/A iyuh@usgs.gov Confederated Tribes of the Umatilla Indian Reservation Microsoft Windows 10 Version 10.0.19044 Build 19044; Esri ArcGIS Pro 3.0.2 Confidence that a feature exists and confidence that a feature is correctly identified are described in per-feature attributes ExistenceConfidence and IdentityConfidence in accordance with GeMS (Geologic Map Schema). Internal logical consistency and completeness of the database were checked with the GeMS_Tools ValidateDatabase script. Table, feature class, and attribute names and formats conform to the GeMS standard. An exception is that nonspatial table GeoMaterialDict and its associated fields in nonspatial table DescriptionOfMapUnits have been removed due to the focus of the map on landform characteristics rather than from earth materials. All Type values (in ContactsAndFaults, WoodyDebrisPolys, and LandUsePolys) are defined in table Glossary. All _ID values are unique. There are no empty DataSourceID (or DefinitionSourceID or DescriptionSouceID) values, and all such values are defined in table DataSources. All intentionally-null attributes are labeled with Null (for text attributes); there are no empty string values. MapUnit values in feature class MapUnitPolys correspond with those in defined in DescriptionOfMapUnits and shown in CorrelationOfMapUnits. Interpretation is complete across area of map. Quality of interpretation may be limited by accuracy of lidar topography. Per-feature estimated horizontal accuracy is recorded in field LocationConfidenceMeters in feature class ContactsAndFaults Oregon Department of Geology and Mineral Industries Unknown remote-sensing image Digital and/or Hardcopy 20201031 20201101 N/A 2020 OLC Umatilla River 3DEP Primary lidar imagery. Patricia L. Olson Nicholas T. Legg Tim B. Abbe Mary Ann Reinhart Judith K. Radloff 201407 publication Olympia, WA Washington State Department of Ecology Publication no. 14-06-025 https://apps.ecology.wa.gov/publications/publications/1406025.pdf Digital and/or Hardcopy 201407 publication date Olson and others (2014) Procedures to create relative elevation model. Oregon Department of Geology and Mineral Industries 2016 remote-sensing image https://www.oregongeology.org/lidar/ Digital and/or Hardcopy 20160528 20160605 publication date 2016 OLC Milton Freewater Secondary lidar imagery. Earth Resources Observation and Science (EROS) Center 20180706 remote-sensing image https://doi.org/10.5066/F7QN651G Digital and/or Hardcopy 20200711 20200813 publication date 2020 NAIP Imagery Imagery for identification of land use and woody debris, and for minor map area not covered by lidar. Map-unit contacts were digitized on-screen in ArcGIS Pro using backdrop images calculated from the digital elevation model (DEM) derived from 2020 OLC Umatilla River 3DEP lidar imagery. These images included a relative elevation model (REM; elevation relative to water surface of the Umatilla River, where the downstream changes in elevation assoicated with the channel gradient is removed) calculated using an Inverse Distance Weighted (IDW) method (Olson and others, 2014), northwest- and northeast-illuminated hillshades (gray-scale images that simulate point-source illumination of the DEM); a vertically-illuminated hillshade calculated with a 6X vertical exaggeration; a color image in which hue corresponds to local slope. For mapped areas not covered by the 2020 OLC Umatilla River 3DEP lidar imagery, the 2016 OLC Milton Freewater lidar imagery or 2020 NAIP imagery was used. Digitizing scale generally was between 1:500 and 1:3,000. Many map-unit boundaries are drawn at breaks in slope (e.g., top of bluff, edge of valley bottom, base of highway-fill prism), changes in relative elevation, and changes in surface textures. Features smaller than about 10 meters in width are not mapped due to scale. We chose geomorphic map units to emphasize both the process by which the surface was formed and the relative age of the surface-forming event. We mapped our interpretation of the earth surface as it was prior to human modification and without the artifacts imposed by the lidar survey. In heavily modified areas, where the pre-modification surface cannot be reliably inferred, we mapped modified surfaces. We also mapped modified surface along waterways and some transportation corridors, and wherever artificial fill is evident. 2020 OLC Umatilla River 3DEP Olson and others (2014) 2016 OLC Milton Freewater 2020 NAIP Imagery 2022 Map overlays were digitized on-screen in ArcGIS Pro. The land use overlay was created primarily based on lidar imagery, with the use of NAIP imagery when there was an uncertainty in the interpretation of the lidar and in small areas where lidar data was missing. Digitizing scale was generally between 1:1,000 and 1:3,000; areas smaller than about 10 meters in width were not mapped. Land use overlay boundaries are drawn at textural changes (e.g., smoothed-out surfaces for plowed land, or square patterns for built-up land). The woody debris overlay was created based on NAIP imagery; digitizing scale was generally between 1:500 and 1:1,000. Woody debris overlay boundaries are drawn along the Umatilla River when recognizable with imagery and in close proximity to the river, generally only on exposed fluvial bars and banks and within river channels. Wood shorter than about 10 meters in length were not mapped. 2020 OLC Umatilla River 3DEP 2016 OLC Milton Freewater 2020 NAIP Imagery 2023 Vector G-polygon Transverse Mercator 0.9996 -117.0 0.0 500000.0 0.0 coordinate pair 0.0001 0.0001 meters D North American 1983 GRS 1980 6378137.0 298.257222101 Entity descriptions follow those given in the GeMS documentation. See metadata records within geodatabase or shapefiles for constituent tables, feature datasets, and feature classes for detailed entity-attribute information. "GeMS (Geologic Map Schema)--a standard format for digital publication of geologic maps", available at http://ngmdb.usgs.gov/Info/standards/GeMS/ U.S. Geological Survey NGMDB mailing address

12201 Sunrise Valley Dr., MS 908

Reston VA 20192 United States N/A ngmdb@usgs.gov Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty. Digital Data https://doi.org/10.5066/P13OOE7Q None 20241209 U.S. Geological Survey Ian Yuh Geologist mailing

1819 SW 5th Ave, #336

Portland OR 97201 US N/A iyuh@usgs.gov FGDC Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998