AndreaBozzo/ceres-open-data-index huggingface dataset:
Airfields - TRIM Enhanced Base Map (EBM)

Includes airports, airstrips, helipads and abandoned airfields. Symbols in TRIM have been replaced by polygons. TRIM-EBM is a 2D product containing TRIM 1 features excluding toponymy, contours and DEM for which area based features have been closed to form polygons, symbol points have been replaced with polygons and vertical integration of streams has been removed.

Tags: Canada, TRIM, airfield, basemap, topographic map
Organization: GeoBC Branch
Extraction Sites - TRIM Enhanced Base Map (EBM)

A generic term for a: Open pit mine, mine, pile, quarry, gravel/sand pit, abandoned pit. Polygons replace symbols. TRIM-EBM is a 2D product containing TRIM 1 features excluding toponoymy, contours and DEM for which area based features have been closed to form polygons, symbol points have been replaced with polygons and vertical integration of streams has been removed.

Tags: Canada, TRIM, basemap, extraction sites, mine, quarries, topographic map
Organization: GeoBC Branch
BCGS 1:5,000 Grid

British Columbia Geographic System 1:5,000 scale mapsheet grid. Each mapsheet is one fourth of a 1:10,000 mapsheet numbered 1 through 4. The neatlines were defined and created in geographic units and reprojected to BC Albers. Each of the mapsheets is 0.75 minutes (45 seconds) latitude by 1.50 minutes (90 seconds) longitude. The British Columbia Geographic System is a geographic system in which the coverage in minutes and seconds of longitude is double the coverage in minutes and seconds of latitude for sheets at all scales

Tags: BCGS, Canada, NTS, basemap, geoscientific map, topographic map
Organization: GeoBC Branch
(7.5M) National Parks - The Atlas of Canada Base Maps for BC

This spatial layer details polygon features that represent National Parks for only the extent of British Columbia

Tags: Alberta, Canada, HYDROLOGY, LAND USE, Manitoba, New Brunswick, Newfoundland And Labrador, North America, Northern Hemisphere, Northwest Territories, Nova Scotia, Nunavut, Ontario, Prince Edward Island, Quebec, Saskatchewan, TRANSPORTATION, boundaries, hydrography, land mass, national parks, planimetry, territorial
Organization: GeoBC Branch
Designated Areas - TRIM Enhanced Base Map (EBM)

A generic term for an area dedicated to a particular use or purpose, such as a: lumber yard, hydro station, auto wrecker, sport track, zoos, cemetery, trailer park, dump sewage treatment area, golf course, park, picnic area, etc. Polygons replace symbols. TRIM-EBM is a 2D product containing TRIM 1 features excluding toponoymy, contours and DEM for which area based features have been closed to form polygons, symbol points have been replaced with polygons and vertical integration of streams has been removed.

Tags: Canada, TRIM, basemap, designated area, topographic map
Organization: GeoBC Branch
Georgia Basin Ecosystem Initiative Boundary - Polygon

The Georgia Basin Boundary dataset displays the extent of the Georgia Basin Ecosystem Initiative undertaken by the federal, provincial, and municipal governments. The objectives of the project are to support initiatives for clean air, clean water, habitat and species protection, and improved environmental decision-making in the Georgia Basin. The dataset consists of both a polygon layer and line layer

Tags: Boundaries, Canada, Coast Mountains, Environment Canada, Georgia, Georgia Basin, Georgia Basin Action Plan, Lower Mainland, Vancouver Island, conservation, conservation area, ecology, land ownership, pilot, property, study boundary
Organization: GeoBC Branch
BC Wildfire PSTA Lightning Fire Density

Provincial Strategic Threat Analysis (PSTA) is designed to consistently assess and map potential wildfire threats to values across the landscape (including communities, infrastructure and natural resources) and to integrate different aspects of wildfire hazard and risk.

The fire density layer was analyzed using fires with final sizes greater than 4.0 hectares from 1950 onwards. It was updated in 2021. These were given a weight of one (1) in the analysis, while large fires (> 500 ha) were given a weight of 5, in order to reflect the much greater cost and damage usually associated with larger fires. A kernel density analysis was conducted to represent the historic fire data as a seamless surface representing fire occurrence across the province; a 10 km search radius was chosen, and the pixel size was 50 m. The ArcGIS kernel density function fits a smooth surface to a spatial point frequency dataset, representing actual fire origin points as random samples from a smooth probability surface. The analysis search radius was 10 kilometers and this distance was reflected in the mapped output classes; thus, the fire density at any point on the landscape is a modeled probability value reflecting the number of historic fires found within a radius of 10 kilometers, or within a 314 km2 circle around the point of interest. Note that this is different from a simple point density, and the values in the fire density layer classes do not represent the exact numbers of historic fires within the search radius; closer and more clustered fires are weighted higher within that circle, and this can result in significantly higher values than may be expected compared with a simple point search.The output values therefore represent a modeled probability approximately representing the number of nearby fires (4 ha and greater, treating 500+ ha fires as 5 individual events) since 1950. Using this as an input to the Wildfire Threat Analysis layer is based on the premise that areas that were prone to multiple larger fires in the past are likely prone to larger fires in the present and near future. Final class limits are based on the weighting scheme described above: fires from 0 to 4 ha (not counted, weight of 0); fires from 4.001 to 500 ha (weight of 1); fires 500.001 ha or larger (weight of 5). Units are approximate weighted fire frequency within a 10 km radius, 1950-2016. Water bodies were overlaid on the raster and assigned their own class, -1.

Tags: BCWS, Fire, PSTA, Prevention, Provincial Strategic Threat Analysis, Wildfire
Organization: BC Wildfire Service
Caribou Habitat Model for the Western Cariboo Region (2017)

Summer/Fall and Winter/Forest-Dwelling 2017 habitat model for caribou in the Itcha Ilgachuz area. 

[Season] field should be used to split the data out into separate summer/fall and winter/forest-dwelling habitat models.

Model development is detailed in _Apps, C., and N. Dodd.  2016..  Caribou habitat modeling and evaluation of forest disturbance influences across landscape scales in west-central British Columbia – March, 2016.  Prepared for Ministry of Forests, Lands and Natural Resource Operations, Williams Lake, British Columbia_.

See also: https://catalogue.data.gov.bc.ca/dataset/7ea6556b-c113-4194-92f2-7ddb55a340b6 __Note: The 2001 habitat model covers a similar area, but is not replaced by the 2017 habitat model.__



Tags: Charlotte Alplands, Itcha Ilgachuz, Northern Caribou, Rainbow Mountain, caribou, caribou habitat, habitat model
Organization: Regional Operations - Cariboo
BC Wildfire PSTA Fire Density

Provincial Strategic Threat Analysis (PSTA) is designed to consistently assess and map potential wildfire threats to values across the landscape (including communities, infrastructure and natural resources) and to integrate different aspects of wildfire hazard and risk.

The fire density layer was analyzed using fires with final sizes greater than 4.0 hectares from 1950 onwards. It was updated in 2021. These were given a weight of one (1) in the analysis, while large fires (> 500 ha) were given a weight of 5, in order to reflect the much greater cost and damage usually associated with larger fires. A kernel density analysis was conducted to represent the historic fire data as a seamless surface representing fire occurrence across the province; a 10 km search radius was chosen, and the pixel size was 50 m. The ArcGIS kernel density function (v. 10.3; ESRI, Redlands, California, USA) fits a smooth surface to a spatial point frequency dataset, representing actual fire origin points as random samples from a smooth probability surface. The analysis search radius was 10 kilometers and this distance was reflected in the mapped output classes; thus, the fire density at any point on the landscape is a modeled probability value reflecting the number of historic fires found within a radius of 10 kilometers, or within a 314 km2 circle around the point of interest. Note that this is different from a simple point density, and the values in the fire density layer classes do not represent the exact numbers of historic fires within the search radius; closer and more clustered fires are weighted higher within that circle, and this can result in significantly higher values than may be expected compared with a simple point search.The output values therefore represent a modeled probability approximately representing the number of nearby fires (4 ha and greater, treating 500+ ha fires as 5 individual events) since 1950. Using this as an input to the Wildfire Threat Analysis layer is based on the premise that areas that were prone to multiple larger fires in the past are likely prone to larger fires in the present and near future. Final class limits are based on the weighting scheme described above: fires from 0 to 4 hectares (not counted, weight of 0); fires from 4.001 to 500 hectares (weight of 1); fires 500.001 hectares or larger (weight of 5). Units are approximate weighted fire frequency within a 10 km radius, 1950 onwards. Water bodies were overlaid on the raster and assigned their own class, -1.

Tags: Fire Density, PSTA, Wildfire
Organization: BC Wildfire Service
Baseline Thematic Mapping Present Land Use Version 1 Spatial Layer

This layer represents Land use polygons as determined by a combination of analytic techniques, mostly using Landsat 5 image mosaics . BTM 1 was done on  a federal satellite image base that was only accurate to about 250m. The images were geo-corrected, not ortho-corrected, so there is distortion in areas of high relief.  This is not a multipart feature

Tags: Land Use, land cover
Organization: GeoBC Branch
BC Wildfire PSTA Human Fire Density

Provincial Strategic Threat Analysis (PSTA) is designed to consistently assess and map potential wildfire threats to values across the landscape (including communities, infrastructure and natural resources) and to integrate different aspects of wildfire hazard and risk.

The fire density layer was analyzed using fires with final sizes greater than 4.0 hectares from 1950 onwards. It was updated in 2021. These were given a weight of one (1) in the analysis, while large fires (> 500 ha) were given a weight of 5, in order to reflect the much greater cost and damage usually associated with larger fires. A kernel density analysis was conducted to represent the historic fire data as a seamless surface representing fire occurrence across the province; a 10 km search radius was chosen, and the pixel size was 50 m. The ArcGIS kernel density function (v. 10.3; ESRI, Redlands, California, USA) fits a smooth surface to a spatial point frequency dataset, representing actual fire origin points as random samples from a smooth probability surface. The analysis search radius was 10 kilometers and this distance was reflected in the mapped output classes; thus, the fire density at any point on the landscape is a modeled probability value reflecting the number of historic fires found within a radius of 10 kilometers, or within a 314 km2 circle around the point of interest. Note that this is different from a simple point density, and the values in the fire density layer classes do not represent the exact numbers of historic fires within the search radius; closer and more clustered fires are weighted higher within that circle, and this can result in significantly higher values than may be expected compared with a simple point search.The output values therefore represent a modeled probability approximately representing the number of nearby fires (4 ha and greater, treating 500+ ha fires as 5 individual events) since 1950. Using this as an input to the Wildfire Threat Analysis layer is based on the premise that areas that were prone to multiple larger fires in the past are likely prone to larger fires in the present and near future. Final class limits are based on the weighting scheme described above: fires from 0 to 4 ha (not counted, weight of 0); fires from 4.001 to 500 ha (weight of 1); fires 500.001 hectares or larger (weight of 5). Units are approximate weighted fire frequency within a 10 km radius, 1950 onwards. Water bodies were overlaid on the raster and assigned their own class, -1.

Tags: BCWS, Fire, Human Fire Density, PSTA, Prevention, Wildfire
Organization: BC Wildfire Service
BC Wildfire PSTA Head Fire Intensity

Provincial Strategic Threat Analysis (PSTA) is designed to consistently assess and map potential wildfire threats to values across the landscape (including communities, infrastructure and natural resources) and to integrate different aspects of wildfire hazard and risk.

The Head Fire Intensity (HFI) data layer was developed using the 90th percentile fire weather index value for an interpolated and elevation-adjusted analysis of weather station values. This value represents the daily FWI value at which 10% of all interpolated observations at that location exceed the value identified. These were calculated by interpolating daily weather records from the network of active and archived BC Wildfire Service and other (e.g. Environment Canada, BC Ministry of Environment Snow Pillow, etc. ) weather stations. The HFI (90th percentile) values were classified using accepted thresholds of fire intensity and fire suppression effort. The HFI classes used in the final threat layer are different from the defined HFI classes derived from the Fire Behavior Prediction System because the values need to be spread across 10 categories. The intensity values in the HFI data layer therefore represent daily peak burning HFI values representative of a small number of days (~ 1-15) in an average year based on the fuels identified in provincial inventory in early 2021. By definition, these represent high to extreme values for any given location. The final classification scheme for the HFI (90th percentile weather) layer was chosen to represent accepted fire intensity thresholds (in kW/m) associated with suppression difficulty, along with some additional classes added to further discriminate between intensity levels at the high end (i.e. crown fires).Water bodies were overlaid on the raster and assigned their own class, -1. A Private Managed Forest Land (PMFL) and Private Land (PL) mask was applied to the data due to fuel typing limitations in these areas. Each of these were given their own class. PMFL is class -2 and PL is class -3.

Tags: BCWS, Fire, Head Fire Intensity, PSTA, Prevention, Wildfire
Organization: BC Wildfire Service
Hydrology: Hydrometric Watershed Boundaries (Historical)

Watershed boundary delineated for Canada-BC hydrometric stations. 
Currently, watersheds were delineated using 1:50,000 scale boundaries in 1996, and many watersheds encompass entire drainages, instead of just the upstream watersheds.
Note - Not yet available, but we are in the process of generating BC hydrometric station upstream watersheds using updated base data, using the following method:
Within BC, watershed boundaries are based on the 1:20,000-scale Freshwater Atlas fundamental watersheds, and trimmed using the BC TRIM DEM used to approximate the height-of-land at the station locations. Outside of BC, but within Canada, watershed boundaries were approximated using Canada CDED DEM data for delineation (no "stream burning" was used) and some manual editing of boundaries was done to approximately match hydrology data after the fact. Within U.S.A., the USGS Watershed Boundary Dataset was used (at the best scale available for each drainage) to delineate the watershed boundary, with the watershed trimmed using the USGS National Elevation Dataset to approximate the height-of-land when necessary.

Tags: hydrology, isoline, low flow, stream flow
Organization: Environmental Monitoring and Analysis Branch
BC Wildfire WUI Human Interface Buffer

The Wildland Urban Interface (WUI) buffer is defined as a maximum of two kilometers from the structure density class greater than 6. 

As defined in the FireSmart manual, the WUI is any area where combustible forest fuel is found adjacent to homes, farm structures or other outbuildings. This may occur at the interface, where development and forest fuel (vegetation) meet at a well-defined boundary, or in the intermix, where development and forest fuel intermingle with no clearly defined boundary. Historically in BC, structure densities are used to define the human structure interface boundary of the WUI for fire and risk management planning purposes. It identifies the zone of transition between unoccupied land and human development. A two-kilometre buffer distance is then applied to represent a reasonable maximum distance that embers can travel from a wildfire to ignite a structure.

This layer is re-created on an annual basis and the current version is from 2020.

Tags: BCWS, FIRE, PSTA, Prevention, Provincial Strategic Threat Analysis, Wildfire
Organization: BC Wildfire Service
BC Wildfire PSTA Spotting Impact

Provincial Strategic Threat Analysis (PSTA) is designed to consistently assess and map potential wildfire threats to values across the landscape (including communities, infrastructure and natural resources) and to integrate different aspects of wildfire hazard and risk.

Spotting was modeled by fuel type and by distance class from a given fuel type pixel. The risk of spotting within a given pixel was analyzed based on the risk presented by the surrounding fuel pixels, with distance radii based on fuel type. Distance class categories were analyzed as concentric circles around the target fuel patch, with higher ranking values associated with shorter distances, and with more volatile fuel types. The chance of spotting was considered to be “nil” for distances over two kilometers. Spotting values represent the estimated threat associated with 12 relevant fuel type-distance classes. The relative threat associated with each fuel type-distance class was ranked (“Spotting Rank”), based on expert opinions on the most frequent spotting concerns observed during wildfires. The rank values were assigned risk scores (weighting factor), which were adjusted to normalize the areas (since the larger concentric circles cover much more area than smaller ones). Each raster pixel (50 meter resolution) was then assigned a total score based on the sum of risk values contributed by all pixels within a radius of 1-2 kilometers. Based on this total score, the landscape was categorized into 10 spotting classes ranging from low to extreme.The classes were created by automatic classification, using the “natural breaks (Jenks)” setting of the ArcGIS 10.1 Spatial Analyst extension. Differences are caused by fuel type classes and distances, with no consideration given at this time to elevation or dominant wind direction. Future versions of this analysis will likely address both of these factors.Water bodies were overlaid on the raster and assigned their own class, -1.

Tags: PSTA, Prevention, Public Spotting Impact, Wildfire
Organization: BC Wildfire Service
Terrestrial Ecosystem Mapping (TEM) Detailed Polygons with Short Attribute Table - Greater Than 20k

TEM_ GT20K contains TEM polygons with key and amalgamated (concatenated) attributes derived from the RISC (Resource Inventory Standards Committee) standard attributes completed at a scale greater than 1:20 000 (i.e. 1:10 000 or 1:5 000). TEM divides the landscape into units according to a variety of ecological features including climate, physiography, surficial material, bedrock geology, soils and vegetation. TEM methods include manual air photo interpretation supported by selective field checking. This layer is derived from the STE_TEI_ATTRIBUTE_POLYS_SP layer by filtering on the PROJECT_TYPE and PROJECT_MAP_SCALE attributes

Current version:

v11 (published on 2024-10-03)

Previous versions:

v10 (published on 2023-11-14), v9 (published on 2023-03-01), v8 (published on 2016-09-01)


Tags: BGC, Canada, DTEIF, Drainage, PEM, SEI, STE, STEWI, TEIS, TEM, TER, TSM, WHR, biogeoclimatic, bioterrain, bioterrain mapping, describing terrestrial ecosystems, ecology, ecosystem, ecosystem mapping, ecosystem modelling, erosion, landslide, predictive ecosystem mapping, sedimentation, sensitive ecosystem, sensitive ecosystems inventory, slope stability, soil, terrain, terrain and ecosystems, terrain mapping, terrain stability, terrain stability mapping, terrestrial ecosystem mapping, wildlife habitat rating, wildlife inventory
Organization: Knowledge Management
Snowmobile Areas in Parks within the Cariboo Region

Designated play areas for snowmobiles in Tweedsmuir and Itcha-Ilgachuz Provincial Parks.

[__Tweedsmuir Provincial Park Master Plan__](https://bcparks.ca/planning/mgmtplns/tweedsmuir/tweeds_mp.pdf?v=1618329316506)

[__Itcha Ilgachuz Provincial Park Management Plan__](https://bcparks.ca/planning/mgmtplns/itcha_il/itcha_ilgachuz_mp.pdf?v=1618329451240)

[__Itcha Ilgachuz Provincial Park Winter Recreation Areas Map (PDF)__](https://bcparks.ca/planning/mgmtplns/itcha_il/rec_winmap.PDF)

Tags: BC, BC Parks, Canada, Cariboo, Itcha Ilgachuz, Rainbow Range, Williams Lake, lsmb r5, parks, snowmobile, snowmobile areas
Organization: Regional Operations - Cariboo
Transportation Network Services - Operations Zones

This spatial layer contains polygons representing Transportation Network Services Zones in the Province of British Columbia.

In a Transportation Network Service (TNS), or ride-hail, a passenger hires and pays for travel in a licenced passenger directed vehicle (PDV) through a website or mobile application.

These vehicles operate under the authority of ride-hail companies and must comply with B.C. provincial regulations and any municipal bylaws that apply.

Tags: Passenger, Ride hail, Services, TNS, Transportation
Organization: Passenger Transportation
Census Agricultural Regions (All Years)

Census agricultural regions (CARs) are composed of groups of adjacent census divisions and are used by the Census of Agriculture to disseminate agricultural statistics.

This dataset contains the CAR boundaries for all censuses, from the 2021 Canada census onwards.

Source: [Dictionary, Census of Population, 2021](https://www12.statcan.gc.ca/census-recensement/2021/ref/dict/az/Definition-eng.cfm?ID=geo006)

Tags: BC, Demographics, Statistics Canada, census, division, economic, profiles, regions, statistics
Organization: BC Stats
Current Census Agricultural Regions

Census agricultural regions (CARs) are composed of groups of adjacent census divisions and are used by the Census of Agriculture to disseminate agricultural statistics.

This dataset contains the CAR boundaries for the most recent Canada census.

Source: [Dictionary, Census of Population, 2021](https://www12.statcan.gc.ca/census-recensement/2021/ref/dict/az/Definition-eng.cfm?ID=geo006)

Tags: BC, Demographics, Statistics Canada, census, division, economic, profiles, regions, statistics
Organization: BC Stats