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dogami-info@dogami.oregon.gov When contacting DOGAMI about this data set, please reference the data set title or other identifying information in your correspondence. DOGAMI publications can be downloaded from https://www.oregon.gov/dogami/pages/default.aspx 2025 ArcGIS Metadata 1.0 Oregon Department of Geology and Mineral Industries 1 971 673 1555 1 971 673 1562 800 NE Oregon Street Suite 965 Portland Oregon 97232 US dogami-info@dogami.oregon.gov When contacting DOGAMI about this data set, please reference the data set title or other identifying information in your correspondence. DOGAMI publications can be downloaded from https://www.oregon.gov/dogami/pages/default.aspx "GDB" Esri File Geodatabase https://www.oregon.gov/dogami/pages/default.aspx File Geodatabase Raster Dataset Detailed_Shallow_Landslide_Susceptibility 2025 Oregon Department of Geology and Mineral Industries Oregon Department of Geology and Mineral Industries Portland, Oregon, USA raster digital data Oregon Department of Geology and Mineral Industries Digital Data O-25-08 Statewide Landslide Information Database for Oregon Release-4.6 (SLIDO-4.6) Many parts of Oregon are highly susceptible to landslides which pose significant threats to people and infrastructure particularly in the portions of the state with moderate to steep slopes. As population growth expands and development onto landslide susceptible terrain occurs, greater losses are likely to result. Most of Oregons landslide damage has been associated with severe winter storms where landslide losses exceed $100 million in direct damage (such as the February 1996 eventsee FEMA, 1996). However, landslides are a chronic hazard in Oregon and annual average maintenance and repair costs for landslides in Oregon are over $10 million (Wang and others, 2002). Landslides induced by earthquake shaking are likely in many parts of Oregon, and losses associated with sliding in moderate-to-large earthquakes are likely to be significant. Volcanic induced and/or associated landslide hazards are also potential threats to parts of Oregon. In order to reduce risk from landslides, information about the hazard must be readily available. In 2007, research at the Oregon Department of Geology and Mineral Industries (DOGAMI) was performed to choose the best remote sensing dataset (i.e. aerial photos, photogrammetric elevation data, lidar elevation data, etc.) to use as a primary tool to begin systematic mapping of landslides in Oregon. The use of lidar topographic data was deemed necessary for the understanding and mapping the landslide hazard in Oregon. The second conclusion of this study was to systematically compile all previously mapped landslides from geologic and hazard maps. This database (Statewide Landslide Information Database of Oregon, SLIDO) would then serve as a starting place for all future landslide studies (Burns, 2007). This layer is a shallow landslide susceptibility raster dataset. The symbology on this map includes low, moderate and high susceptibility. The main components used to create the zones include 1) using a landslide inventory, 2) calculating regional slope stability factor of safety (FOS), 3) removing isolated small elevation changes (to reduce over-prediction), 4) creating buffers to add susceptible areas missed in a grid-type analysis (to reduce under-prediction), and 5) combining the four components into final susceptibility hazard zones. The landslide inventory is intended to provide users with basic information regarding landslides. The geologic, terrain, and climatic conditions that led to landslides in the past may provide clues to the locations and conditions of future landslides, and it is intended that this data will provide useful information to develop regional landslide susceptibility maps, to guide site-specific investigations for future developments, and to assist in regional planning and mitigation of existing landslides. Partially funded by the Federal Emergency Management Agency (FEMA) Hazard Mitigation Grant Program (HMGP) Oregon Department of Geology and Mineral Industries 1 971 673 1555 1 971 673 1562 800 NE Oregon Street Suite 965 Portland Oregon 97232 US dogami-info@dogami.oregon.gov When contacting DOGAMI about this data set, please reference the data set title or other identifying information in your correspondence. DOGAMI publications can be downloaded from https://www.oregon.gov/dogami/pages/default.aspx William J. Burns Oregon Department of Geology and Mineral Industries United States North America Oregon Baker Benton Clackamas Clatsop Columbia Coos Crook Curry Deschutes Douglas Gilliam Grant Harney Hood Jackson Jefferson Josephine Klamath Lake Lane Lincoln Linn Malheur Marion Morrow Multnomah Polk Sherman Tillamook Umatilla Union Wallowa Wasco Washington Wheeler Yamhill Oregon Geospatial Enterprise Office Metadata Keyword Thesaurus soil surface alluvium sediment Oregon Geospatial Enterprise Office Metadata Keyword Thesaurus geoscientificinformation ISO 19115 Topic Category landslide risk landslide deposits geology Oregon Geospatial Enterprise Office Metadata Keyword Thesaurus geoscientificinformation landslide risk landslide deposits geology soil surface alluvium sediment United States North America Oregon Baker Benton Clackamas Clatsop Columbia Coos Crook Curry Deschutes Douglas Gilliam Grant Harney Hood Jackson Jefferson Josephine Klamath Lake Lane Lincoln Linn Malheur Marion Morrow Multnomah Polk Sherman Tillamook Umatilla Union Wallowa Wasco Washington Wheeler Yamhill REPORT DATA: This product is for informational purposes and may not have been prepared for or be suitable for legal, engineering, or surveying purposes. Users of this information should review or consult the primary data and information sources to ascertain the usability of the information. This publication cannot substitute for site-specific investigations by qualified practitioners. Site-specific data may give results that differ from the results shown in the publication. See the accompanying text report for more details on the limitations of the methods and data used to prepare this publication. Although these data have been processed successfully on a computer system at the Oregon Department of Geology and Mineral Industries, no warranty expressed or implied is made by DOGAMI regarding the utility of the data on any other system, nor shall the act of distribution constitute any such warranty. Statewide Landslide Information Database for Oregon Release-4.6 (SLIDO-4.6) 2025 "4.6" Oregon Department of Geology and Mineral Industries Oregon Department of Geology and Mineral Industries Portland, Oregon, USA Oregon Department of Geology and Mineral Industries Digital Data O-25-08 https://www.oregon.gov/dogami/pages/default.aspx true -124.091732 -121.773095 46.289004 43.923586 Esri ArcGIS 13.6.0.59527 1 -124.091732 -121.773095 46.289004 43.923581 None None Deep susceptibility data was visually checked for consistency. All the field values are consistent with the domains listed in the Protocol for Shallow Landslide Susceptibility Mapping (DOGAMI SP-45). This check was a general attribute check. This data set is a compilation of data from existing studies that used DOGAMI Special Paper 45 methodology. Refer to those individual studies, which can be found in the Detailed_Susceptibility_Map_Index feature class, to determine the completeness of each study data. The line work for Landslide Inventory, which was used to calculate shallow landslide susceptibility, was captured by heads up digitizing at a 1:4,000 scale. Shallow landslide susceptibility map is produced at a scale of 1:8,000. Base map used for digitization was DOGAMI's bare earth lidar. Lidar data quality requires that the average departure from planarity within any 10 meters area shall be no greater than 5 cm. However, the accuracy will still vary with the skill and care of the individual mapper. Lidar-derived bare earth elevation model vertical accuracy is typically less than 1 foot. This susceptibility data was prepared by combining three factors: 1) landslide inventory data, 2) factor of safety (FOS), which includes slope, and 3) head scarp buffers. The combinations of these factors comprise the relative susceptibility hazard zones: high, moderate, and low. Lidar data, geology, and aerial photos, in addition to field reconnaissance work/data collection, were the primary data types used. See DOGAMI Special Paper 45 for more detailed information on methodologies and the SLIDO 4.0 report for data sources. Oregon Department of Geology and Mineral Industries 1 971 673 1555 1 971 673 1562 800 NE Oregon Street Suite 965 Portland Oregon 97232 US dogami-info@dogami.oregon.gov When contacting DOGAMI about this data set, please reference the data set title or other identifying information in your correspondence. DOGAMI publications can be downloaded from https://www.oregon.gov/dogami/pages/default.aspx Burns et al, 2012 Protocol for Shallow-Landslide Susceptibility Mapping Burns, Madin, and Mickelson 2012 2012 Oregon Department of Geology and Mineral Industries Oregon Department of Geology and Mineral Industries Portland, Oregon, USA Not Applicable Oregon Department of Geology and Mineral Industries Special Paper SP-45 https://pubs.oregon.gov/dogami/sp/p-SP-45.htm 2012 0 Detailed_Shallow_Landslide_Susceptibility Table 3 OBJECTID OBJECTID OID 4 0 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. VALUE Value Integer 4 0 0 Count Count Double 8 0 0 Susceptibility Susceptibility String 25 0 0 This layer is a shallow landslide susceptibility raster dataset. The symbology on this map includes low, moderate and high susceptibility. The main components used to create the zones include 1) using a landslide inventory, 2) calculating regional slope stability factor of safety (FOS), 3) removing isolated small elevation changes (to reduce over-prediction), 4) creating buffers to add susceptible areas missed in a grid-type analysis (to reduce under-prediction), and 5) combining the four components into final susceptibility hazard zones. dataset EPSG 6.18.3(9.3.1.2) Pixel 408093 282272 0.914400 0.914400 8 1 Upper Left FALSE LZ77 1 pixel codes FGDBR TRUE row and column 0.914400 0.914400