Geospatial forest inventory dataset updated for depletions, such as harvesting, and projected annually for growth. Sample attributes in this dataset include: age, species, volume, height. The Vegetation Resources Inventory (VRI) spatial datasets describe both where a vegetation resource (ie timber volume, tree species) is located and how much of a given resource is within an inventory unit. Suggested citation: Forest Analysis and Inventory Branch (2024). VRI - 2024 - Forest Vegetation Composite Rank 1 Layer (R1). British Columbia Data Catalogue. https://catalogue.data.gov.bc.ca/dataset/2ebb35d8-c82f-4a17-9c96-612ac3532d55

The “Terrestrial Ecodistricts of Canada” dataset provides representations of ecodistricts. An ecodistrict is a subdivision of an ecoregion and is characterized by distinctive assemblages of relief, landforms, geology, soil, vegetation, water bodies and fauna. For example, the Jeddore Lake ecodistrict (no. 473) is one of five ecodistricts within the Maritime Barrens ecoregion.

This feature delineates forest and vegetation stands in the Yukon at a scale of 1: 40 ,000. It is a management level forest inventory (as opposed to a n operational level) - meaning that analysis and mapping are most effective close to the 1:40,000 scale and not larger . This inventory has been completed in various stages : delineation from hardcopy black and white photographs took place from 1987 to 2002; while recent data collection has proceeded through a digital (aka 'softcopy') methodology of scanned photographs and digital elevation models.Distributed from [GeoYukon](https://yukon.ca/geoyukon) by the [Government of Yukon](https://yukon.ca/maps) . Discover more digital map data and interactive maps from Yukon's digital map data collection.For more information: [geomatics.help@yukon.ca](mailto:geomatics.help@yukon.ca)

This feature delineates forest and vegetation stands in the Yukon at a scale of 1:5,000. It is an operational level forest inventory (as opposed to a management level). This inventory has been completed in various stages, between 2013 and 2014, and delineation via softcopy from stereo images acquired in the years 2007 and 2012. The aerial images used for the Haines Junction region (Champagne and Aishihik Traditional Territory) had a ground sample distance (GSD) of 40 cm and were collected in both color and infrared. The aerial imagery in the southcentral Yukon were 1:40,000 black and white hard copy images, scanned at 60 microns or approximately 1m GSD.Distributed from [GeoYukon](https://yukon.ca/geoyukon) by the [Government of Yukon](https://yukon.ca/maps) . Discover more digital map data and interactive maps from Yukon's digital map data collection.For more information: [geomatics.help@yukon.ca](mailto:geomatics.help@yukon.ca)

This feature delineates forest and vegetation stands in the Yukon at a scale of 1:5,000. It is an operational level forest inventory (as opposed to a management level). This inventory has been completed in various stages, between 2013 and 2014, and delineation via softcopy from stereo images acquired in the years 2007 and 2012. The aerial images used for the Haines Junction region (Champagne and Aishihik Traditional Territory) had a ground sample distance (GSD) of 40 cm and were collected in both color and infrared. The aerial imagery in the southcentral Yukon were 1:40,000 black and white hard copy images, scanned at 60 microns or approximately 1m GSD.Distributed from [GeoYukon](https://yukon.ca/geoyukon) by the [Government of Yukon](https://yukon.ca/maps) . Discover more digital map data and interactive maps from Yukon's digital map data collection.For more information: [geomatics.help@yukon.ca](mailto:geomatics.help@yukon.ca)

This feature delineates forest and vegetation stands in the Yukon at a scale of 1:5,000. It is an operational level forest inventory (as opposed to a management level). This inventory has been completed in various stages, between 2013 and 2014, and delineation via softcopy from stereo images acquired in the years 2007 and 2012. The aerial images used for the Haines Junction region (Champagne and Aishihik Traditional Territory) had a ground sample distance (GSD) of 40 cm and were collected in both color and infrared. The aerial imagery in the southcentral Yukon were 1:40,000 black and white hard copy images, scanned at 60 microns or approximately 1m GSD.Distributed from [GeoYukon](https://yukon.ca/geoyukon) by the [Government of Yukon](https://yukon.ca/maps) . Discover more digital map data and interactive maps from Yukon's digital map data collection.For more information: [geomatics.help@yukon.ca](mailto:geomatics.help@yukon.ca)

This feature delineates forest and vegetation stands in the Yukon at a scale of 1:5,000. It is an operational level forest inventory (as opposed to a management level). This inventory has been completed in various stages, between 2013 and 2014, and delineation via softcopy from stereo images acquired in the years 2007 and 2012. The aerial images used for the Haines Junction region (Champagne and Aishihik Traditional Territory) had a ground sample distance (GSD) of 40 cm and were collected in both color and infrared. The aerial imagery in the southcentral Yukon were 1:40,000 black and white hard copy images, scanned at 60 microns or approximately 1m GSD.Distributed from [GeoYukon](https://yukon.ca/geoyukon) by the [Government of Yukon](https://yukon.ca/maps) . Discover more digital map data and interactive maps from Yukon's digital map data collection.For more information: [geomatics.help@yukon.ca](mailto:geomatics.help@yukon.ca)

FCOVER corresponds to the amount of the ground surface that is covered by vegetation, including the understory, when viewed vertically (from nadir). FCOVER is an indicator of the spatial extent of vegetation independent of land cover class. It is a dimensionless quantity that varies from 0 to 1, and as an intrinsic property of the canopy, is not dependent on satellite observation conditions. This product consists of a national scale coverage (Canada) of monthly maps of FCOVER indicator during a growing season (May-June-July-August-September) at 20m resolution.References:L. Brown, R. Fernandes, N. Djamai, C. Meier, N. Gobron, H. Morris, C. Canisius, G. Bai, C. Lerebourg, C. Lanconelli, M. Clerici, J. Dash. Validation of baseline and modified Sentinel-2 Level 2 Prototype Processor leaf area index retrievals over the United States IISPRS J. Photogramm. Remote Sens., 175 (2021), pp. 71-87, https://doi.org/10.1016/j.isprsjprs.2021.02.020. https://www.sciencedirect.com/science/article/pii/S0924271621000617Richard Fernandes, Luke Brown, Francis Canisius, Jadu Dash, Liming He, Gang Hong, Lucy Huang, Nhu Quynh Le, Camryn MacDougall, Courtney Meier, Patrick Osei Darko, Hemit Shah, Lynsay Spafford, Lixin Sun, 2023.Validation of Simplified Level 2 Prototype Processor Sentinel-2 fraction of canopy cover, fraction of absorbed photosynthetically active radiation and leaf area index products over North American forests,Remote Sensing of Environment, Volume 293, https://doi.org/10.1016/j.rse.2023.113600.https://www.sciencedirect.com/science/article/pii/S0034425723001517

STE_TEM_ATTRIBUTE_POLYS_SVW contains Terrestrial Ecosystem Mapping (TEM) polygons with key and amalgamated (concatenated) attributes derived from the RISC (Resource Inventory Standards Committee) standard attributes. 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 attribute. Project types include: TEM, NEM, TEMNSS, NEMNSS, TEMPRE, NEMPRE, TEMSEI, TEMSET, TEMTSM, TEMWHR, TEMSDM, TEMPRW, NEMPRW, and TEMSEW. 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)

Terrestrial Ecosystem Mapping (TEM) project boundaries contains (study areas) and attributes describing each project (project level metadata), plus links to the locations of other data associated with the project (e.g., reports, polygon datasets, plotfiles, field data, legends).TEM divides the landscape into units according to a variety of ecological features including climate, physiography, surficial material, bedrock geology, soils and vegetation. This layer is derived from the STE_TEI_PROJECT_BOUNDARIES_SP layer by filtering on the PROJECT_TYPE attribute. Project Types include: TEM, NEM, TEMNSS, NEMNSS, TEMPRE, NEMPRE, TEMSEI, TEMSET, TEMTSM, TEMWHR, TEMSDM, TEMPRW, NEMPRW, and TEMSEW. 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)