Description: 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). The Inventory_Map_Index feature class contains polygons that describe the extent of the original studies included in SLIDO. The Inventory_Map_Index feature class user-defined fields include the original reference, original map scale, and original mapping purpose, that is, if the mapping related to identification of geologic hazards. A full list of the references, original map scales, and reference identification codes (REF_ID_COD) are provided in the References table in this geodatabase. The Inventory_Map_Index feature class is related to the landslide deposit feature class and the References table through the REF_ID_COD field.
Copyright Text: Partially funded by the Federal Emergency Management Agency (FEMA) Hazard Mitigation Grant Program (HMGP)
Description: 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). DOGAMI compiled this data from several datasets including DOGAMI SP-34 (landslide points from 1996-1997). Each feature class dataset includes 29 fields. The dataset is a compilation of center points of published or known historic (roughly 1928-2018 in Oregon) landslides and any available information about these landslides including damage and losses and several other attributes. The structure and content of the file feature classes are also detailed in Appendix B of the SLIDO-4.0 report.
Copyright Text: Partially funded by the Federal Emergency Management Agency (FEMA) Hazard Mitigation Grant Program (HMGP)
Description: 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 feature class represents lines of the uppermost extent of landslide head scarp and any internal scarps within the body of the landslide.
Copyright Text: Partially funded by the Federal Emergency Management Agency (FEMA) Hazard Mitigation Grant Program (HMGP)
Description: 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 feature class represents polygons that delineate the head scarps and scarp flanks. These head scarps or uppermost scarps in many cases expose the primary failure plane (surface of rupture) and flanks or shear zones.
Copyright Text: Partially funded by the Federal Emergency Management Agency (FEMA) Hazard Mitigation Grant Program (HMGP)
Description: 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 feature class consists of polygons delineating landslide deposits (including debris flow fans and talus extent).
Copyright Text: Partially funded by the Federal Emergency Management Agency (FEMA) Hazard Mitigation Grant Program (HMGP)