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.
Oregon Imagery Viewing and Extraction Tool. 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.
Oregon Spatial Data Library. 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. In early 2024, the Spatial Data Library will be retired. INR will continue to provide public access to reliable and up-to-date spatial data that is not maintained by the State of Oregon's GEOHub (previously the Oregon Spatial Data Library).
Biotics Biodiversity Database. 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.
Rare, Threatened and Endangered Species of Oregon lists. Updated every 2-3 years.
Rare, Threatened, and Endangered Species rank documentation. Updated as needed.
Point Observation Database (PODS). Spatial observation database for non-RTE invertebrate and vertebrate species. Updated biannually.
Natural Areas Plan. Updated every 5 years, including the register of natural heritage areas.
Oregon Ecological Systems Database and Map (download). 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. Information on methodology and technical reports can be found at the LEMMA project site.
Classification of Native Vegetation of Oregon (2019). PDF and Excel list of native plant associations of Oregon.
Oregon iMapInvasives. Updated continually. Data sharing restricted as per user agreements.
Oregon Stewardship Geodatabase. Catalogs and attributes all managed areas in Oregon, including federal, state, county, and private protected areas and easements.
Oregon PAD-US. 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.
Various local and regional vegetation classifications and keys, project reports, species assessments, etc. Reports posted to the INR Publications page, OSU Scholars Archive, or PSU Scholars Archive.
Questions about ORBIC data and data requests can be directed to [email protected].
INR has numerous project-specific databases that include primary data collection (such as from National Park Service projects) and processed 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:
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’ 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.
NPS North Coast and Cascades Network. 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.
Integrated Landscape Assessment Project (ILAP) Data, Models, and Analyses. Access ILAP Data, Maps, Models, and Analyses. 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:
Potential Natural Vegetation (PNV) of Oregon and Washington
Oregon/Washington arid land vegetation composition and structure
Vegetation Dynamics and Treatment (VDDT) models
ILAP VDDT modeling results and crosswalks from modules
VDDT modeling strata2 grids and other strata grids to link to model output
Arizona/New Mexico Potential Natural Vegetation (PNV)
Arizona/New Mexico vegetation composition and structure – Forest, Arid and Woodlands
Endangered species probability of occurrence models for Oregon species. Completed taxa include 8 plants from the coast range, Willamette Valley and Klamath Falls and Fender’s blue butterfly
Willamette Water 2100 Project. Simulations of water supply and demand under various climate and population growth scenarios developed with couple human and natural systems model. Developed as part of a National Science Foundation project focused on water scarcity.
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. These 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: