Steven Sobieszczyk 2010 vector digital data http://water.usgs.gov/lookup/getspatial?insantiam_LandslideInventory_Deposits This layer is an inventory of existing landslides deposits in the Little North Santiam River Basin, Oregon (2009). Each landslide deposit shown on this map has been classified according to a number of specific characteristics identified at the time recorded in the GIS database. The classification scheme was developed by the Oregon Department of Geology and Mineral Industries (Burns and Madin, 2009). Several significant landslide characteristics recorded in the database are portrayed with symbology on this map. The specific characteristics shown for each landslide are the activity of landsliding, landslide features, deep or shallow failure, type of landslide movement, and confidence of landslide interpretation. These landslide characteristics are determined primarily on the basis of geomorphic features, or landforms, observed for each landslide. This work was completed as part of the Master's thesis "Turbidity Monitoring and LiDAR Imagery Indicate Landslides are Primary Source of Suspended-Sediment Load in the Little North Santiam River Basin, Oregon, Winter 2009-2010" by Steven Sobieszczyk, Portland State University and U.S. Geological Survey. Data layers in this geodatabase include: landslide deposit boundaries (Deposits); field-verfied location imagery (Photos); head scarp or scarp flanks (Scarp_Flanks); and secondary scarp features (Scarps).The geodatabase template was developed by the Oregon Department of Geology and Mineral Industries (Burns and Madin, 2009). This data set is one of 4 feature data sets included in a basin-wide landslide inventory. The landslide inventory is one of the essential data layers used to delineate regional landslide susceptibility. This landslide inventory is not regulatory, and revisions can happen when new information regarding landslides is found or future (new) landslides occur. Therefore, it is possible that landslides within the map area were not identified or occurred after the map was prepared. This landslide inventory is intended to provide users with basic information regarding landslides within the Little North Santiam River Basin. The geologic, terrain, and climatic conditions that led to slope failures in the past may provide clues to the locations and conditions of future slope failures, and it is intended that this map will provide useful information to develop regional landslide susceptibility maps, guide site-specific investigations for future developments, assist in regional planning, and mitigation of existing landslides. Citations: Burns, W.J., and Madin, I.P., 2009, Protocol for inventory mapping of landslide deposits from light detection and ranging (LIDAR) imagery: Oregon Department of Geology and Mineral Industries Special Paper 42, 30 p. Oregon Department of Geology and Mineral Industries and Watershed Sciences, Inc., 2009, LiDAR of Western Oregon and the Willamette Valley: digital data set courtesy of Ian Madin, available via external hard drive [digital data set] Oregon Department of Geology and Mineral Industries, 2009, Oregon geologic data compilation: digital data set courtesy of Bill Burns, will be available online at http://ogdc.geos.pdx.edu/ [digital data set] 2009 ground condition Complete None planned -122.583361 -122.135924 44.899782 44.776577 None deposits landslide inventory None Little North Santiam River Basin Elkhorn Elkhorn Valley Marion County Oregon None 2009 2010 None None The U.S. Geological Survey should be acknowledged as the data source in products derived from these data. Steven Sobieszczyk U.S. Geological Survey Hydrologist mailing and physical address

2130 SW 5th Ave.

Portland OR 97201 USA 503-251-3208 503-251-3470 ssobie@usgs.gov Warning: Although accurate at the time of production, this information may have become obsolete. See the Metadata_Reference_Information section for a current contact. http://water.usgs.gov/GIS/browse/LNsantiam_LandslideInventory.jpg Illustration of data set. JPG Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 3; ESRI ArcCatalog 9.3.1.3000 Steven Sobieszczyk 2010 vector digital data http://water.usgs.gov/lookup/getspatial?lnsantiam_LandslideInventory_HeadScarp Steven Sobieszczyk 2010 vector digital data http://water.usgs.gov/lookup/getspatial?lnsantiam_LandslideInventory_Scarps Steven Sobieszczyk 2010 vector digital data http://water.usgs.gov/lookup/getspatial?lnsantiam_LandslideInventory_Photos Deposits represent feature conditinons mapped from LiDAR data obtained during flights in summer 2009. CONFIDENCE OF INTERPRETATION: Each landslide should be classified according to a "confidence" that the mapper assigns based on the likelihood that the landslide actually exists. Landslides are mapped on the basis of characteristic morphology, and the confidence of the interpretation is based on the visual strength of the morphologies. As a landslide ages, after its most recent movement, weathering (primarily through erosion) degrades the morphologies produced by landsliding. With time, landslide morphologies may become so subtle that they resemble morphologies produced by geologic processes and conditions unrelated to landsliding. Some landslides have several different types of morphologies associated with them. A good way to define certainty is through a simple point system (see table below) associated with these features. The point system used is based on a ranking of four primary landslide features with a ranking of 0 to 10 points per feature. For example, if during mapping, the head scarp and toe of a landslide were identifiable and had very strong visual strength, the mapper would apply 10 points for the head scarp and 10 points for the toe equaling 20 points, which would be associated with a moderate certainty of identification. Locations were quality-assured by both DOGAMI and USGS personnel for accuracy, completeness, and logical consistency. Snapping and polygon tracing was set during digitizing to avoid overlap. Data are complete. 3 feet 6 inches Burns, W.J., and Madin, I.P. 2009 document Special Paper 42 Portland Oregon Department of Geology and Mineral Industries paper 2009 publication date SP42 Burns, W.J., and Madin, I.P., 2009, Protocol for inventory mapping of landslide deposits from light detection and ranging (LIDAR) imagery: Oregon Department of Geology and Mineral Industries Special Paper 42, 30 p. Oregon Department of Geology and Mineral Industries 2009 5 vector digital data http://ogdc.geos.pdx.edu/ online 2009 publication date DOGAMI GEO Oregon Department of Geology and Mineral Industries, 2009b, Oregon geologic data compilation: digital data set courtesy of Bill Burns, will be available online at http://ogdc.geos.pdx.edu/ [digital data set] Oregon Department of Geology and Mineral Industries and Watershed Sciences, Inc. 2009 raster digital data http://www.oregongeology.org/sub/projects/olc/default.htm hard drive 2009 ground condition LiDAR Oregon Department of Geology and Mineral Industries and Watershed Sciences, Inc., 2009, LiDAR of Western Oregon and the Willamette Valley: digital data set courtesy of Ian Madin, available via external hard drive [digital data set] Acquired 3ft-resolution Light Detection and Ranging (LiDAR) data LiDAR 2010 Steven Sobieszczyk U.S. Geological Survey Hydrologist mailing and physical address

2130 SW 5th Ave.

Portland OR 97201 USA (503) 251-3208 (503) 251-3470 ssobie@usgs.gov Converted LiDAR digital elevation model (DEM) into a slope raster using Spatial Analyst extension in ArcGIS 9.3. LiDAR 2010 Steven Sobieszczyk U.S. Geological Survey Hydrologist mailing and physical address

2130 SW 5th Ave.

Portland OR 97201 USA (503) 251-3208 (503) 251-3470 ssobie@usgs.gov Used slopeshade (slope raster: stretched, standard devation 5, "black and white" inverted color) map and 60% transparent DEM as backdrop for identifying landslide deposits. Generated contour lines, as well. 2010 Steven Sobieszczyk U.S. Geological Survey Hydrologist mailing and physical address

2130 SW 5th Ave.

Portland OR 97201 USA (503) 251-3208 (503) 251-3470 ssobie@usgs.gov Manually digitized landslide features using methods defined in Special Paper 42 (Burns and Madin, 2009). "The method employed to identify landslide areas in this study uses two kinds of data: 1) spatial data and 2) tabular data. Spatial data are data that can be mapped as points, lines, or polygons. Tabular data are descriptive data, usually in text or numeric form, stored in rows and columns in a database and linked to spatial data. To facilitate data collection, a geodatabase template was developed as part of this protocol. The template includes empty feature classes for deposits, scarp flanks, scarps, and photos. The geodatabase includes relationship classes between the feature classes. The template includes all fields for the tabular data, located in the Deposits feature class. Individual mappers who use this template can then easily transfer their data into a master geodatabase." SP42 DOGAMI GEO 2010 Steven Sobieszczyk U.S. Geological Survey Hydrologist mailing and physical address

2130 SW 5th Ave.

Portland OR 97201 USA (503) 251-3208 (503) 251-3470 ssobie@usgs.gov Vector G-polygon 401 Lambert Conformal Conic 43.000000 45.500000 -120.500000 41.750000 1312335.958005 0.000000 coordinate pair 0.000328 0.000328 international feet D_North_American_1983_HARN Geodetic Reference System 80 6378137.000000 298.257222 North American Vertical Datum of 1988 0.000100 feet Explicit elevation coordinate included with horizontal coordinates Deposits Polygonal scarp features identified with landslide deposits. Includes head scarp and flank scarps U.S. Geological Survey OBJECTID Internal feature number. ESRI Sequential unique whole numbers that are automatically generated. SHAPE Feature geometry. ESRI Coordinates defining the features. UNIQUE_ID Unique ID that relates scarp to mapped landslide deposit. U.S. Geological Survey Coordinates defining the features. TYPE_MOVE Type of landslide movement. U.S. Geological Survey Fall Fall SP42 Slide Slide SP42 Spread Spread SP42 Flow Flow SP42 Complex Complex SP42 MOVE_CLASS Classification of landslide movement. U.S. Geological Survey Earth Flow Composition = earth, movement = flow SP42 Debris Flow Composition = debris, movement = flow SP42 Rock Fall Composition = rock, movement = fall SP42 Earth Slide - Rotational Composition = earth, movement = slide/rotational SP42 Earth Slide - Translational Composition = earth, movement = slide/translational SP42 Complex Composition = multiple, movement = multiple SP42 MOVE_CODE Abbreviated code for landslide movement type. U.S. Geological Survey RF Rock Fall SP42 EFL Earth Flow SP42 DFL Debris Flow SP42 ES-R Earth Slide - Rotational SP42 ES-T Earth Slide - Translational SP42 C Complex SP42 C-EFL Complex - Earth Flow SP42 GlobalID ID used in Landslide Inventory geodatabase. U.S. Geological Survey Coordinates defining the features. CONFIDENCE Mapping confidence of landslide deposit delineation. U.S. Geological Survey high > 30 points; where: "The point system in this protocol is based on a ranking of four primary landslide features with 0 to 10 points per feature, with zero points for an unidentifiable feature and 10 points for a very clearly identifiable feature. For example, if the head scarp and toe of a landslide were clearly identifiable in the lidar DEM, the mapper would apply 10 points for the head scarp and 10 points for the toe, equaling 20 points, which would be associated with a moderate certainty of identification." SP42 moderate 11-29 points SP42 low <= 10 points SP42 DATE_MOVE Date of last movement. U.S. Geological Survey 2009 2010 NAME Landslide name. U.S. Geological Survey Evans Creek Landslide landslide name U.S. Geological Survey Bear Trap Slide landslide name U.S. Geological Survey GEOL Dominate geologic unit where landslide occurred. U.S. Geological Survey Dike, Dike 1, QTg, QTi, Qal, Qau, Qba, Qgf, Qls, Qt, Qyt, Tad, Tb, Tba, Tbp, Tc, To, Tdg, Tds, Tfc, Thg, Ti, Tib, Tib1, Tiha, Tipa, Tis, Tlm, Tmd, Tmv,Tn, Tql, Tr, Trd, Tsa1, Tsa4, Tu, Tum, Tus Lithologies DOGAMI GEO SLOPE Slope of hillside adjacent to landslide. U.S. Geological Survey 3 50 AGE Relative age of deposit. U.S. Geological Survey Historic Active movement <150 years: "The landslide appears to be currently moving or to have moved within historic time or historic data has identified the landslide as having moved in the last 150 years. Landslide features generally sharp and clear." SP42 Prehistoric Ancient movement >150 years: "Landslide features are slightly to strongly eroded or covered with younger deposits. Features may be subdued and indistinct." SP42 FAN_HEIGHT Thickness of debris flow fan. U.S. Geological Survey 8 150 HS_HEIGHT Measured head scarp height, in feet. U.S. Geological Survey 8 800 FAIL_DEPTH Measured depth of landslide, in feet. U.S. Geological Survey 7 772 HS_IS1 Horizontal distance from head scarp to internal scarp 1. U.S. Geological Survey 60 800 IS1_IS2 Horizontal distance from internal scarp 1 to internal scarp 2. U.S. Geological Survey 50 800 IS2_IS3 Horizontal distance from internal scarp 2 to internal scarp 3. U.S. Geological Survey 70 2000 IS3_IS4 Horizontal distance from internal scarp 3 to internal scarp 4. U.S. Geological Survey 130 360 HD_AVE Average horizontal distance between internal scarps: calculated average horizontal distance between scarps. U.S. Geological Survey 115 3000 DIRECT Direction of movement. U.S. Geological Survey 0 337.5 AREA Area of landslide deposit (square feet). U.S. Geological Survey 22349 168740368 VOL Volume of landslide deposit (cubic feet). U.S. Geological Survey 64073 59767189504 DEEP_SHAL Relative depth of landslide. U.S. Geological Survey Shallow Landslide thickness <= 15 feet SP42 Deep Landslide thickness > 15 feet SP42 QUADNAME USGS Quandrangle Name. U.S. Geological Survey Bagby Hot Springs Quad Index U.S. Geological Survey Battle Ax Quad Index U.S. Geological Survey Elkhorn Quad Index U.S. Geological Survey Lyons Quad Index U.S. Geological Survey Mill City North Quad Index U.S. Geological Survey Rooster Rock Quad Index U.S. Geological Survey sqmi Area of landslide deposit (square miles). U.S. Geological Survey 0 6 Acres Area of landslide deposit (acres). U.S. Geological Survey 0.5 3873.7 Shape_Length Length of feature in internal units (feet). ESRI Positive real numbers that are automatically generated. Shape_Area Area of feature in internal units squared (square feet). ESRI Positive real numbers that are automatically generated. Lists each UNIQUE_ID and its corresponding landslide. Burns, W.J., and Madin, I.P., 2009, Protocol for inventory mapping of landslide deposits from light detection and ranging (LIDAR) imagery: Oregon Department of Geology and Mineral Industries Special Paper 42, 30 p. Oregon Department of Geology and Mineral Industries, 2009, Oregon geologic data compilation: digital data set courtesy of Bill Burns, will be available online at http://ogdc.geos.pdx.edu/ [digital data set] U.S. Geological Survey Ask USGS -- Water Webserver Team mailing address

445 National Center

Reston VA 20192 USA 1-888-275-8747 (1-888-ASK-USGS) http://water.usgs.gov/user_feedback_form.html Downloadable Data 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. ESRI Geodatabase Feature Class PKZIP compression Winzip 1000 http://water.usgs.gov/GIS/dsdl/LNsantiam_LandslideInventory_gdb.zip None. This dataset is provided by USGS as a public service. 20100927 U.S. Geological Survey Ask USGS -- Water Webserver Team mailing address

445 National Center

Reston VA 20192 USA 1-888-275-8747 (1-888-ASK-USGS) http://answers.usgs.gov/cgi-bin/gsanswers?pemail=h2oteam&subject=GIS+Dataset+insantiam_LandslideInventory_Deposits FGDC Content Standards for Digital Geospatial Metadata FGDC-STD-001-1998