Steven Sobieszczyk 2010 vector digital data http://water.usgs.gov/lookup/getspatial?insantiam_LandslideInventory_Scarps Data points represent head scarps, flank scarps, and minor internal scarps (linear) associated with landslide deposits in the Little North Santiam River Basin, Oregon. 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). Scarps are fracture features associated with landslide deposits. Head scarps represent the upper most extent of the landslide failure zone. Flank scarps occur on either side of a landslide deposit, often as an arcuate failure plane. Minor interior scarps are extensional features caused by the movement of landslide material downhill. 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] 2009 ground condition Complete None planned -122.582905 -122.135704 44.894158 44.776225 None scarps 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_Deposits 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_Photos Scarps represent feature conditinons mapped from LiDAR data obtained during flights in summer 2009. Locations were quality-assured by both DOGAMI and USGS personnel for accuracy, completeness, and logical consistency. 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 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 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. A screenshot of the structure as set up in Environmental Systems Research Institute, Inc. (ESRI) ArcCatalogT is shown in Figure 11. The geodatabase includes relationship classes between the feature classes. The template includes all fields for the tabular data (Table 1 and Appendix A), located in the Deposits feature class. Individual mappers who use this template can then easily transfer their data into a master geodatabase. Appendix B is a guide for setting up and using the geodatabase template." SP42 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 String 612 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 Scarps Linear scarp features identified with landslide deposits. Includes head scarp, flank scarps, and minor internal 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. GlobalID ID used in Landslide Inventory geodatabase U.S. Geological Survey Coordinates defining the features. Shape_Length Length of feature in internal units (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. 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_Scarps FGDC Content Standards for Digital Geospatial Metadata FGDC-STD-001-1998