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The Institute for Natural Resources (INR) uses, processes, and maintains several types of GIS data, including: data for which INR is the official data steward; project specific databases; and local copies of other regional and local data.
INR maintains Oregon's most comprehensive database of rare, threatened and endangered species through its Oregon Biodiversity Information Center (ORBIC). This database includes site-specific information on the occurrences, biology, and status of over 2,000 species throughout Oregon. It includes the state's only database of natural vegetation, with descriptions and information on the occurrences and protected locations of all known ecosystem types. As part of the Natural Heritage Network overseen by Natureserve, ORBIC is able to share this data internationally.
Sue Vrilakas (for plant information)
firstname.lastname@example.org or by phone at 503-725-9950
Eleanor Gaines (for animal information)
email@example.com or by phone at 503-725-9952
The Oregon Imagery Explorer Image Viewing and Extraction tool enables users to view, compare, stream, and download National Agriculture Imagery Program (NAIP) orthoimagery from multiple years since 1995, as well as available Pictometry and Lidar elevation products.
The Oregon Spatial Data Library provides public access to reliable and up-to-date spatial data. Currently, hundreds of spatial datasets are accessible including all of the statewide framework data available for Oregon. These datasets serve as base data or a variety of Geographic Information System (GIS) applications that support research, business and public services in Oregon and surrounding areas
Statewide database for rare species statuses as well as known current and historical sites. Updated continually. Contact ORBIC to request data. Digital data sharing restricted as per user agreements.
Updated every 2-3 years.
Updated as needed.
Spatial observation database for non-RTE invertebrate and vertebrate species. Updated biannually.
Updated every 5 years, including the register of natural heritage areas.
Updated every 5-10 years. Shows natural vegetation types and landcover for Oregon. Data is part of the USGS Gap Analysis Program, and maps developed extend to northern California, southern Idaho and Eastern Washington (http://gapanalysis.usgs.gov/)
Updated continually. Data sharing restricted as per user agreements.
Updated continually. Catalogs and attributes all managed areas in Oregon, including federal, state, county, and private protected areas and easements.
Updated every 4-5 years, or on an as-needed basis. A protected areas database for Oregon, developed to USGS standards, based on the Oregon Stewardship geodatabase.
Questions about ORBIC data and data requests can be directed to firstname.lastname@example.org.
INR has numerous project-specific databases that include primary data collection (such as from National Park Service projects) and data. Data can be processed numerous ways including: 1) modeled and imputed data, 2) standard GIS and image processing techniques, and 3) database processing. Highlights of recent project-project specific data and databases include:
Sage-Grouse Conservation Partnership (SageCon) Data
Sage-Grouse Conservation Partnership (SageCon) was convened by the Oregon Governor's Office, the Natural Resources Conservation Service (NRCS), and the U.S. Bureau of Land Management (BLM) in 2013 to proactively address USFWS’s 2015 Sage-Grouse listing decision in 2015. By addressing key threats to sagebrush habitat, SageCon has been working collaboratively with ranching and farming communities in central and eastern Oregon, as well as emerging industries such as mining and renewable energy, to ensure species protection for sage-grouse protection. The goal for the collaborative effort was to develop an “all lands, all threats” plan for sage-grouse conservation in Oregon. Data used for the plan are publicly available.
INR has completed or is in the process of completing several vegetation mapping, inventory, and classification projects for the National Park Service (NPS). These datasets are published through the NPS North Coast and Cascades Network website upon final acceptance and publication of the reports and associated data.
Vegetation estimated and structure modeling using models such as random forest, canonical correlation and other imputation methods; or species models using similar tools and data. Examples of this include:
Data can be processed using standard GIS operations and image processing techniques. There are numerous raster based datasets that are used to evaluate land use and cover. These raster databases typically represent one point in time and are from aerial photography or from Thematic Mapper imagery. These have been used (in conjunction with other data) to map current vegetation in the Portland metropolitan area through image classification, etc. Details of these data are provided in next section.
Numerous GIS database have complex data designs that require database management and modeling to build geographic databases. INR staff utilizes database management systems including Oracle, SQL/Sever and Access to programmatically build specific databases. One example includes soils, which have variable depths and numerous attributes. Specific database programs have been used at INR to build depth dependent data sets. For instance, for input into global climatic models, we developed programs to build databases for the 3 separate soils profiles (top 50 cm, 50 to 200 cm, and below 200 cm) for primary attributes including (see Appendix A for complete list):
These programs have been modified to build output that provide depth integrated (one number representing the entire profile) for other soils characteristics such as natural drainage, etc. In addition, there are numerous GIS databases which are temporal in nature and continuously changing. These event based datasets typically maintain a base GIS coverage with linkage to on-line data systems.
INR uses numerous data sources that identify the specific location in time and numerous attributes associated with the event. Examples of this include many point/sample locations where on-going data collection is occurring. These databases require specialized database programming and mapping techniques. This includes common and updated linkages to online time series data collection activities, specifically including:
There are numerous sources of digital data that are digitally available and INR staff maintains copies of these databases (in project-specific formats) for use in analyses. Thes include:
Standard GIS libraries data is available from numerous portal, web services and data libraries such as the Oregon State GIS Data library at Oregon Department of Administration and online tools such as the Oregon Imagery Explorer, the National GIS Portal, and other online libraries. Other online services include: