Dominant Species Map 2015 The data represent dominant tree species for British Columbia forests in 2015, are based upon Landsat data and modeling, with results mapped at 30 m spatial resolution. The map was generated with the Random Forests classifier that used predictor variables derived from Landsat time series including surface reflectance, land cover, forest disturbance, and forest structure, and ancillary variables describing the topography and position. Training and validation samples were derived from the Vegetation Resources Inventory (VRI), from a pool of polygons with homogeneous internal conditions and with low discrepancies with the remotely sensed predictions. Local models were applied over 100x100 km tiles that considered training samples from the 5x5 neighbouring tiles to avoid edge effects. An overall accuracy of 72% was found for the species which occupy 80% of the forested areas. Satellite data and modeling have demonstrated the capacity for up-to-date, wall-to-wall, forest attribute maps at sub-stand level for British Columbia, Canada. BC Species Likelihood 2015 The tree species class membership likelihood distribution data included in this product focused on the province of British Columbia, based upon Landsat data and modeling, with results mapped at 30 m spatial resolution. The data represent tree species class membership likelihood in 2015. The map was generated with the Random Forests classifier that used predictor variables derived from Landsat time series including surface reflectance, land cover, forest disturbance, and forest structure, and ancillary variables describing the topography and position. Training and validation samples were derived from the Vegetation Resources Inventory (VRI) selecting from a stratified pool of polygons with homogeneous internal conditions and with low discrepancies when related to remotely sensed information. Local models were applied over 100x100 km tiles that, to avoid edge effects, considered training samples from the 5x5 neighbouring tiles. An overall accuracy of 72% was found for the species which occupy 80% of the forested areas. As an element of the mapping process, we also obtain the votes received for each class by the Random Forest models. The votes can be understood as analogous to class membership likelihoods, providing enriched information on land cover class uncertainty for use in modeling. Tree species class membership likelihoods lower than 5% have been masked and converted to zero. When using this data, please cite as: Shang, C., Coops, N.C., Wulder, M.A., White, J.C., Hermosilla, T., 2020. Update and spatial extension of strategic forest inventories using time series remote sensing and modeling. International Journal of Applied Earth Observation and Geoinformation 84, 101956. DOI: 10.1016/j.jag.2019.101956 ( Shang et al. 2020).

Flow network arcs (observed, inferred and constructed). Contains no banks, coast or watershed bourdary arcs. Directionalized and connected. Contains heirarchial key and route identifier

The data release for the geologic and structure maps of the Kalispell 1 x 2 degrees quadrangle, Montana, and Alberta and British Columbia, is a Geologic Map Schema (GeMS)-compliant version that updates the GIS files for the geologic map published in U.S. Geological Survey (USGS) Miscellaneous Investigations Series Map I-2267 (Harrison and others, 2000). The updated digital data present the attribute tables and geospatial features (lines and polygons) in the format that meets GeMS requirements. This data release presents the geologic map as shown on the plates and captured in geospatial data for the published map. Minor errors, such as mistakes in line decoration or differences between the digital data and the map image, are corrected in this version. The database represents the geology for the 16,436 square kilometer, geologically complex Kalispell 1 x 2 degrees Quadrangle, at a publication scale of 1:250,000. The map covers primarily Flathead and Lincoln Counties, but also includes minor parts of Glacier, Lake, and Sanders Counties. These GIS data supersede those in the interpretive report: Harrison, J.E., Cressman, E.R., Whipple, J.W., Kayser, H.Z., Derkey, P.D., and EROS Data Center, 2000, Geologic and structure maps of the Kalispell 1:250,000 quadrangle, Montana, and Alberta and British Columbia: a digital database: U.S. Geological Survey Miscellaneous Investigations Series Map I-2267, version 1.0, 23 p., scale 1:250,000, https://pubs.usgs.gov/imap/i2267/.

This file contains most of the regional geographically-based data that were reported in the publication Environmental Trends in British Columbia 2007. The spreadsheet is designed so topic, environmental indicator or geographical area can be selected from column filters to show the corresponding data. The purpose of this spreadsheet is to help users find environmental data that relates to a specific community or area. Geographically-based data were reported as either point data (site, city or town) or area data (watershed, regional district, ecosection or ecoprovince). Point data fits within all area classifications which we identified using iMap, an online mapping application. The column titled, "Data resolution" gives the original scale of data collection.

In the face of rapidly declining biodiversity and the increasing fragmentation of habitats, identifying and prioritizing conservation areas have become crucial challenges for environmental sustainability. This study seeks to address these challenges by leveraging the power of citizen science data from iNaturalist and integrating it with GIS technology to assess conservation priorities in Campbell River, British Columbia. By integrating species occurrence data, conservation status, and cultural value, we have used GIS tools to assess conservation priority land parcels visually. Species occurrence data from iNaturalist Meticulous collection and validation of data emphasizes research-grade observations to reduce identification errors and ensure reliability. We integrated species conservation status from CDC-iMap and cultural value from IMPRESS and applied a tiered scoring system to quantify Species Importance Scores (IV). Through GIS analysis, the spatial visualization of species distribution can be realized and the corresponding land parcel Importance Score (LPIS) calculation can be obtained by summing up each land parcel based on IV. The results demonstrate significant differences in species importance across land cover types, identify several higher-value conservation land parcels in the Campbell River region, and highlight key conservation values that emphasize certain types of land cover habitat. The results showed that the riparian area along the Elk Falls Provincial Park and nearby urban and coastal areas of Campbell River tend to contain the highest conservation value. We also discussed potential limitations, mainly caused by the species occurrence data selectivity bias, and species identification accuracy. This approach would guide species and biodiversity conservation and land management planning in the Campbell River region.

The current and most detailed version of the approved corporate provincial digital Biogeoclimatic Ecosystem Classification (BEC) Zone/Subzone/Variant/Phase map (version 12, September 2, 2021). Use this version when performing GIS analysis regardless of scale. This mapping is deliberately extended across the ocean, lakes, glaciers, etc to facilitate intersection with a terrestrial landcover layer of your choice

Wildfire perimeters for all fire seasons before the current year. Supplied through various sources. Not to be used for legal purposes. These perimeters may be updated periodically during the year. On April 1 of each year the previous year's fire perimeters are merged into this dataset

This dataset delineates areas for which registration is granted to one or more licensed trappers for the trapping of fur bearing animals under the BC Wildlife Act. Traplines are designated by a regional manager of the recreational fisheries and wildlife programs. The Wildlife Act regulates who may set a trap for, hunt, kill, take or capture a fur bearing animal within a trapline.

Province-wide SDE spatial layer displaying consumptive water licence points of diversion for drinking water systems. In the context of this layer, Drinking Water Systems means two or more water licences for domestic purposes at a single POD; and/or a water licence(s) for any other purpose indicating a water diversion and distribution system supplying water directly to residences and/or buildings for human consumption. This layer is an instantiation of the spatial view WLS_BC_POD_DRINKING_SOURCES_SVW