Oregon Department of Geology and Mineral IndustriesUnknownPublic domain.SLIDOv1Unknownvector digital dataStatewide Landslide Information Database of Oregon (SLIDO) Release 1SLIDO Release 1Portland, OregonOregon Department of Geology and Mineral IndustriesREQUIRED - wite out series name: Open-File Report, etc.REQUIRED - use IMS, OFR, GMS, etc.Portland, OregonOregon Department of Geology and Mineral IndustriesSLIDOv1\\rocks\staff-public\Publications\NEW publications\FINAL COPY\SLIDO-1\for CD\GIS Files\SLIDOv1.shpOne of the primary chronic and most devastating geologic hazards in Oregon is landslides. Average annual repair costs for landslides in Oregon exceed $10 million and severe winter storm losses can exceed $100 million (Wang and others, 2002). As population growth continues to expand and development into increased landslide susceptible terrain occurs, greater losses are likely to result (Figure 1). In order to begin reducing losses from landslides, large-scale endeavors are necessary at all community levels from state government to individual family homes. One successful way to reduce losses from landslides is through pre-disaster mitigation, which can be performed at many scales from statewide to local. To begin pre-disaster mitigation of landslides, the landslide hazard must be located (Figure 1). Once the hazard is located the population and infrastructure vulnerable to the hazards can be identified and the risk mitigated.
In order to improve our understanding of the landslide hazard in Oregon and to create a statewide base level of landslide data, this database of mapped landslides, the Statewide Landslide Information Database of Oregon (SLIDO) was created. The four main objectives of this study were 1) identify previously mapped landslide deposits statewide, 2) improve the understanding of landslide hazards throughout Oregon, 3) improve the abilities of communities to begin effective landslide management and risk reduction activities, and 4) recommend future improvements and updates to the database.
The resulting database includes more than 15,000 landslide and landslide related features (polygons) extracted from 257 published and non-published studies. The original studies vary widely in scale, scope and focus which is reflected in a wide range in the accuracy, detail and completeness with which landslides are mapped. In order to improve our understanding of the landslide hazard in Oregon and to create a statewide base level of landslide data, this database of mapped landslides, the Statewide Landslide Information Database of Oregon (SLIDO) was created. The four main objectives of this study were 1) identify previously mapped landslide deposits statewide, 2) improve the understanding of landslide hazards throughout Oregon, 3) improve the abilities of communities to begin effective landslide management and risk reduction activities, and 4) recommend future improvements and updates to the database.enThe resulting database includes more than 15,000 landslide and landslide related features (polygons) extracted from 257 published and non-published studies. The original studies vary widely in scale, scope and focus which is reflected in a wide range in the accuracy, detail and completeness with which landslides are mapped.
SLIDO was created through the compilation of the best data available. Several limitations are worth noting, and underscore that any hazard map is generally useful for regional applications but should not be used as an alternative to site-specific studies in critical areas.
1. Although it every effort was made to ensure that digitization and database entry were accurate and complete, no effort was made to verify the original data on which the compilation is based. Geologic data in the less populated eastern portions of the state were particularly limited in terms of scale, for example the 1:500,000 scale geologic map of the state was used in some locations.
2. As previously discussed, the developed database is from original sources that vary in scale, original purpose of mapping, available tools at the time of mapping, and background and interpretation by original mapper. These factors all affect the level of detail and accuracy of the landslides.
4. We neither collected, nor analyzed any new data to create this map. Therefore, this database is a snapshot view of the current data.
Results of a recent study by DOGAMI and USGS geologists in a small study area in the Portland Hills (60 km2) found roughly 200 landslides using a LIDAR derived high resolution DEM (Table 3). The same area also has roughly 300 mapped landslide points in the 1996-1997 storm event inventories. SLIDO release-1 has roughly 50 landslides located in this same area, roughly 10 of which are from 1:24,000 scale geologic maps and roughly 40 from landslide specific mapping done in the 70's.
Since this area (the small study area in the Portland Hills) of SLIDO release-1 was compiled from geologic mapping done at a relatively small scale, and other mapping performed specifically to locate landslides, the area is likely one of the areas that should be considered to have higher accuracy with regard to landslides. The number of landslides in SLIDO release-1 within this small study area, compared to the LIDAR mapping would be roughly 25%. Therefore, this percentage (~25%) should be considered an upper value of accuracy of SLIDO release-1 for most areas, except for the previously mentioned new landslide specific mapping (Lincoln County Coast and City of Oregon City) recently completed by DOGAMI. In conclusion, most of SLIDO release-1 should be considered to have located between 0% - 25% of the actual landslides at any location.unknownpublication dateUnknown-124.801620-116.40608046.27405741.926115223091.6230312348897.73654990768.8835301649259.199475NoneLandslideOregonGIS DatabaseStatewide SLIDOOregonStatewideRestrictions and legal prerequisites for using the data set after use is granted. These include any access constraints applied to assure the protection of privacy or intellectual property, and any special restrictions or limitations on using the data set. For example: Maps in this publication depict ???. The maps cannot serve as a substitute for site-specific investigations by qualified practitioners. Site-specific data may give results that differ from those shown on the maps.mailing and physical addressWilliam J. BurnsOregon Department of Geology and Mineral IndustriesEngineering Geologist971-673-1538971-673-1562bill.burns@dogami.state.or.usDOGAMI makes no warranty as to the currency, completeness, accuracy or utility of any specific data. This disclaimer applies both to individual use of the data and aggregate use with other data. It is strongly recommended that careful attention be paid to the contents of the metadata file associated with these data.Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 2; ESRI ArcCatalog 9.2.2.1350ShapefileSLIDO Release 1Recognition of those who contributed to the data set.See report text for details. In general: Paper or stable-based film copies of original reference geologic maps were collected. Examination was made to ensure each original map had adequate map control information to allow successful georeferencing. Maps were scanned (color or grayscale) at 300 dots per inch and provided as tagged image format (tiff) files. Georeferencing was performed with Blue Marble Geographics Geographic Transformer. This software allows entering numerous points to establish the basis for assigning world coordinates to the image coordinates. The software calculates error on the fly, and all maps were processed with a tolerance of 1 pixel error. In the processing, each map was projected with the same software into the Oregon Lambert Projection. A decision was made regarding whether the map would be digitized 'heads-up' or go through further processing in a raster-to-vector program. Able Software Co. R2V software was used for conversion. While some map images could be processed directly in R2V, most maps were traced onto mylar. The mylar was then scanned, georeferenced and projected. The resulting image was then processed in R2V to yield linework. Linework inspection was done to determine completeness and accuracy. Finally, the linework was processed by a polygon building utility that runs in the MapInfo Professional GIS software. Polygon and line attributing were then performed, with the resulting file appended into a master polygon file and separate fault line file and fold line file.
Metadata imported.C:\Documents and Settings\deb schueller\Desktop\metadata-how-to\DOGAMI_General_Metadata_Template.xml20080409See report text.Metadata imported.E:\Bill_DOGAMI_General_Metadata.xml20080415Metadata imported.S:\SLIDO - Statewide Landslide Information Database of Oregon\SLIDO Release 1 - Submit to Pubs\SLIDO version 1 - Resubmit to Pubs\Metadata\metadata.xml20080430Dataset copied.S:\SLIDO - Statewide Landslide Information Database of Oregon\SLIDOv120080430Attribute accuracy is very good for both the spatial and tabular databases. Numerous queries were run to check accuracy and consistency of attribute information. Queries were run separately and to compare the data sets against each other. An iterative process was run to find discrepancies and then corrections were made to the respective data sets to achieve consistency.
MapInfo Professional version 8.0 does not establish data set topology. This version of MapInfo can check regions (polygons) for misalignment errors such as gaps (slivers), polygon overlaps, self intersections, and duplicate nodes. If found, these errors were corrected.Horizontal positional accuracy of this data equates to the original reference map scale. The range of map scales used varies from 1:24,000 to 1:500,000. This data set is predominantly the result of many raster-to-vector (R2V) data conversions performed on scanned images of paper maps. Raster scanning of paper maps and the R2V process introduce some horizontal accuracy displacement. This displacement has not been quantified.
not availableThis digital dataset delineates the landslides throguhout Oregon. The data is an integration of 257 original reference geologic maps. A data structure was developed that preserves the original interpretations of each mapper.
Detailed summary of the information contained in a data set.Reference to the complete description of the entity types, attributes, and attribute values for the data set.SLIDOv1Feature Class15093FIDFIDOID400Internal feature number.ESRISequential unique whole numbers that are automatically generated.ShapeShapeGeometry000Feature geometry.ESRICoordinates defining the features.IDIDFloat1911REF_ID_CODREF_ID_CODString50UNIQUE_IDUNIQUE_IDString50MAP_UNIT_LMAP_UNIT_LString50Shape_LengShape_LengFloat1911Shape_AreaShape_AreaFloat19Area of feature in internal units squared.ESRIPositive real numbers that are automatically generated.11DescripDescripString2513.76713.767One week$25Although these data have been processed successfully on a computer system at the Oregon Department of Geology and Mineral Industries (DOGAMI), no warranty expressed or implied is made regarding the accuracy or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. This disclaimer applies both to individual use of the data and aggregate use with other data. It is strongly recommended that these data are directly acquired from DOGAMI, and not indirectly through other sources which may have changed the data in some way. It is also strongly recommended that careful attention be paid to the contents of the metadata file associated with these data. The Oregon Department of Geology and Mineral Industries shall not be held liable for improper or incorrect use of the data described and/or contained herein.Spatial data files available in shape file (.shp) format (ESRI).Nature of the Northwest Information CenterDonald HainesManager503-872-2750971-673-1562don.haines@dogami.state.or.us9 am to 5 pm PSTphysical address800 N.E. Oregon Street, Suite 177PortlandOR97232USAGeographic Information System softwaremailing and physical address8:30 am to 4:30 pm PST971-673-1538Engineering Geologist971-673-1562bill.burns@dogami.state.or.usWilliam J. BurnsOregon Department of Geology and Mineral IndustriesFGDC Content Standards for Digital Geospatial MetadataFGDC-STD-001-1998local timeenTNC Metadata Profile (pending)20080626http://www.esri.com/metadata/esriprof80.htmlESRI Metadata Profile2008043011031400FALSE20080626133409002008062613340900{E8A25A59-7855-4990-B5DC-79FFBC0CB027}Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 2; ESRI ArcCatalog 9.2.2.1350SLIDOv1223091.6230312348897.7365491649259.19947590768.883531-124.80162-116.4060846.27405741.9261151ISO 19115 Geographic Information - MetadataDIS_ESRI1.0dataset002file://\\rocks\staff-public\Publications\NEW publications\FINAL COPY\SLIDO-1\for CD\GIS Files\SLIDOv1.shpLocal Area Network13.767ShapefileVectorSimplePolygonFALSE15093TRUEFALSEG-polygon15093GCS_North_American_1983NAD_1983_Oregon_Statewide_Lambert_Feet_Intlcoordinate pairinternational feet0.0000000.000000Lambert Conformal Conic43.00000045.500000-120.50000041.7500001312335.9580050.000000North American Datum of 1983Geodetic Reference System 806378137.000000298.257222NAD_1983_Oregon_Statewide_Lambert_Feet_Intl1509320080626