Forest Gross Stem Volume 2015Gross stem volume. Individual tree gross volumes are calculated using species-specific allometric equations. In the measured ground plots, gross total volume per hectare is calculated by summing the gross total volume of all trees and dividing by the area of the plot (units = m3ha-1). Products relating the structure of Canada's forested ecosystems have been generated and made openly accessible. The shared products are based upon peer-reviewed science and relate aspects of forest structure including: (i) metrics calculated directly from the lidar point cloud with heights normalized to heights above the ground surface (e.g., canopy cover, height), and (ii) modelled inventory attributes, derived using an area-based approach generated by using co-located ground plot and ALS data (e.g., volume, biomass). Forest structure estimates were generated by combining information from lidar plots (Wulder et al. 2012) with Landsat pixel-based composites (White et al. 2014; Hermosilla et al. 2016) using a nearest neighbour imputation approach with a Random Forests-based distance metric. These products were generated for strategic-level forest monitoring information needs and are not intended to support operational-level forest management. All products have a spatial resolution of 30 m. For a detailed description of the data, methods applied, and accuracy assessment results see Matasci et al. (2018). When using this data, please cite as follows: Matasci, G., Hermosilla, T., Wulder, M.A., White, J.C., Coops, N.C., Hobart, G.W., Bolton, D.K., Tompalski, P., Bater, C.W., 2018b. Three decades of forest structural dynamics over Canada's forested ecosystems using Landsat time-series and lidar plots. Remote Sensing of Environment 216, 697-714. Matasci et al. 2018)Geographic extent: Canada's forested ecosystems (~ 650 Mha)Time period: 1985–2011

__The link: *Access the data directory* is available in the section*Dataset Description Sheets; Additional Information*__.Two products are available to know the gross commercial volume of a tree according to its diameter at chest height (DHP) and its height. Their contents and the way of using them are different, but they both make it possible to obtain gross commercial volume values per tree. The first product is the **LIN3 cubing rate**. It is presented in the form of a table where the values of the gross market volume can be extracted directly. These are local rates, i.e. the height used in the general rate equation (volume prediction models) is predicted by height-DHP relationships developed per survey unit.The second product offers increased precision. It is presented in the form of several tables where the values of the gross commercial volume do not appear directly. Rather, the content of these tables is used to apply **models for predicting the height and gross commercial volume** of a tree. Height prediction models are also developed locally at the scale of survey units. The use of the product requires consultation of the document [“Models for predicting the height and gross commercial volume of trees - Method and use”] (https://mrnf.gouv.qc.ca/nos-publications/modele-prediction-hauteur-volume/).__ 📣 Recommendation of the Forest Inventory Directorate: __ it is preferable to use models to predict height and gross market volume in territories where they are available. A new height prediction model is available when a territory obtains results from forest compilations. In the absence of these models, it is still possible to use the LIN3 cubing rate.**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

Gross biological volume - total (GBVTOT) is an expression of in-the-tree stem total volume (m3) on a per-hectare basis. Calculated from the ground to the tip. Available here as a raster (GeoTIF) with a 20 m pixel resolution.Download: Here The Saskatchewan Ministry of Environment, Forest Service Branch, has developed a forest resource inventory (FRI) which meets a variety of strategic and operational planning information needs for the boreal plains. Such needs include information on the general land cover, terrain, and growing stock (height, diameter, basal area, timber volume and stem density) within the provincial forest and adjacent forest fringe. This inventory provides spatially explicit information as 10 m or 20 m raster grids and as vectors polygons for relatively homogeneous forest stands or naturally non-forested areas with a 0.5 ha minimum area and a 2.0 ha median area.  Gross biological volume per hectare - total (GBVTOT) is an expression of in-the-tree stem total volume (m3) on a per-hectare basis. Calculations are made from the ground to the tip. GBVTOT is available here as a color-mapped 16-bit unsigned integer raster grid in GeoTIFF format with a 20 m pixel resolution. An ArcGIS Pro layer file (*.lyrx) is supplied for viewing GBVTOT data in the following 50 m3/ha categories. Domain: [NULL, 0…1000]. RANGE LABEL RED GREEN BLUE 0 <= GBVTOT < 25 0 NA NA NA 25 <= GBVTOT < 75 50 63 81 181 75 <= GBVTOT < 125 100 66 101 160 125 <= GBVTOT < 175 150 68 121 138 175 <= GBVTOT < 225 200 71 140 117 225 <= GBVTOT < 275 250 74 160 96 275 <= GBVTOT < 325 300 85 178 79 325 <= GBVTOT < 375 350 123 191 74 375 <= GBVTOT < 425 400 161 203 70 425 <= GBVTOT < 475 450 198 216 66 475 <= GBVTOT < 525 500 236 229 61 525 <= GBVTOT < 575 550 255 226 53 575 <= GBVTOT < 625 600 255 209 40 625 <= GBVTOT < 675 650 255 191 28 675 <= GBVTOT < 725 700 255 174 16 725 <= GBVTOT < 775 750 255 156 3 775 <= GBVTOT < 825 800 253 139 9 825 <= GBVTOT < 875 850 251 121 20 875 <= GBVTOT < 925 900 249 103 31 925 <= GBVTOT < 975 950 246 85 43 975 <= GBVTOT <= 1000 1000 244 67 54 For more information, see the Forest Inventory Standard of the Saskatchewan Environmental Code, Forest Inventory Chapter.

Gross merchantable volume - total (GMVTOT) is an expression of merchantable stem total volume (m3) on a per-hectare basis. Available here as a raster (GeoTIF) with a 20 m pixel resolution.Download: Here The Saskatchewan Ministry of Environment, Forest Service Branch, has developed a forest resource inventory (FRI) which meets a variety of strategic and operational planning information needs for the boreal plains. Such needs include information on the general land cover, terrain, and growing stock (height, diameter, basal area, timber volume and stem density) within the provincial forest and adjacent forest fringe. This inventory provides spatially explicit information as 10 m or 20 m raster grids and as vectors polygons for relatively homogeneous forest stands or naturally non-forested areas with a 0.5 ha minimum area and a 2.0 ha median area.  Gross merchantable volume per hectare - total (GMVTOT) is an expression of merchantable stem volume (m3) on a per-hectare basis. Calculations are made assuming a cut-to-length scenario, and including all stem wood from a 30 cm stump height to an 8 cm top diameter (inside bark), with a minimum bole length of 5.1 m and a minimum log length of 2.4 m for softwood and 2.7 m for hardwood. GMVTOT is available here as a color-mapped 16-bit unsigned integer raster grid in GeoTIFF format with a 20 m pixel resolution. An ArcGIS Pro layer file (*.lyrx) is supplied for viewing GMVTOT data in the following 50 m3/ha categories. Domain: [NULL, 0…1000]. RANGE LABEL RED GREEN BLUE 0 <= GMVTOT < 25 0 NA NA NA 25 <= GMVTOT < 75 50 63 81 181 75 <= GMVTOT < 125 100 66 101 160 125 <= GMVTOT < 175 150 68 121 138 175 <= GMVTOT < 225 200 71 140 117 225 <= GMVTOT < 275 250 74 160 96 275 <= GMVTOT < 325 300 85 178 79 325 <= GMVTOT < 375 350 123 191 74 375 <= GMVTOT < 425 400 161 203 70 425 <= GMVTOT < 475 450 198 216 66 475 <= GMVTOT < 525 500 236 229 61 525 <= GMVTOT < 575 550 255 226 53 575 <= GMVTOT < 625 600 255 209 40 625 <= GMVTOT < 675 650 255 191 28 675 <= GMVTOT < 725 700 255 174 16 725 <= GMVTOT < 775 750 255 156 3 775 <= GMVTOT < 825 800 253 139 9 825 <= GMVTOT < 875 850 251 121 20 875 <= GMVTOT < 925 900 249 103 31 925 <= GMVTOT < 975 950 246 85 43 975 <= GMVTOT <= 1000 1000 244 67 54For more information, see the Forest Inventory Standard of the Saskatchewan Environmental Code, Forest Inventory Chapter.

Gross biological volume - hardwood (GBVHWD) is an expression of in-the-tree stem hardwood volume (m3) on a per-hectare basis. Calculated from the ground to the tip. Available here as a raster (GeoTIF) with a 20 m pixel resolution.Download: Here The Saskatchewan Ministry of Environment, Forest Service Branch, has developed a forest resource inventory (FRI) which meets a variety of strategic and operational planning information needs for the boreal plains. Such needs include information on the general land cover, terrain, and growing stock (height, diameter, basal area, timber volume and stem density) within the provincial forest and adjacent forest fringe. This inventory provides spatially explicit information as 10 m or 20 m raster grids and as vectors polygons for relatively homogeneous forest stands or naturally non-forested areas with a 0.5 ha minimum area and a 2.0 ha median area.  Gross biological volume per hectare - hardwood (GBVHWD) is an expression of in-the-tree stem hardwood volume (m3) on a per-hectare basis. Calculations are made from the ground to the tip. GBVHWD is available here as a color-mapped 16-bit unsigned integer raster grid in GeoTIFF format with a 20 m pixel resolution. An ArcGIS Pro layer file (*.lyrx) is supplied for viewing GBVHWD data in the following 50 m3/ha categories. Domain: [NULL, 0…1000]. RANGE LABEL RED GREEN BLUE 0 <= GBVHWD < 25 0 NA NA NA 25 <= GBVHWD < 75 50 63 81 181 75 <= GBVHWD < 125 100 66 101 160 125 <= GBVHWD < 175 150 68 121 138 175 <= GBVHWD < 225 200 71 140 117 225 <= GBVHWD < 275 250 74 160 96 275 <= GBVHWD < 325 300 85 178 79 325 <= GBVHWD < 375 350 123 191 74 375 <= GBVHWD < 425 400 161 203 70 425 <= GBVHWD < 475 450 198 216 66 475 <= GBVHWD < 525 500 236 229 61 525 <= GBVHWD < 575 550 255 226 53 575 <= GBVHWD < 625 600 255 209 40 625 <= GBVHWD < 675 650 255 191 28 675 <= GBVHWD < 725 700 255 174 16 725 <= GBVHWD < 775 750 255 156 3 775 <= GBVHWD < 825 800 253 139 9 825 <= GBVHWD < 875 850 251 121 20 875 <= GBVHWD < 925 900 249 103 31 925 <= GBVHWD < 975 950 246 85 43 975 <= GBVHWD <= 1000 1000 244 67 54 For more information, see the Forest Inventory Standard of the Saskatchewan Environmental Code, Forest Inventory Chapter.

Canada's National Forest Inventory (NFI) sampling program is designed to support reporting on forests at the national scale. On the other hand, continuous maps of forest attributes are required to support strategic analyses of regional policy and management issues. We have therefore produced maps covering 4.03 × 106 km2 of inventoried forest area for the 2001 base year using standardised observations from the NFI photo plots (PP) as reference data. We used the k nearest neighbours (kNN) method with 26 geospatial data layers including MODIS spectral data and climatic and topographic variables to produce maps of 127 forest attributes at a 250 × 250 m resolution. The stand-level attributes include land cover, structure, and tree species relative abundance. In this article, we report only on total live aboveground tree biomass, with all other attributes covered in the supplementary data (http://nrcresearchpress.com/doi/suppl/10.1139/cjfr-2013-0401). In general, deviations in predicted pixel-level values from those in a PP validation set are greater in mountainous regions and in areas with either low biomass or sparse PP sampling. Predicted pixel-level values are overestimated at small observed values and underestimated at large ones. Accuracy measures are improved through the spatial aggregation of pixels to 1 km2 and beyond. Overall, these new products provide unique baseline information for strategic-level analyses of forests (https://nfi.nfis.org)Collection:- **[Canada's National Forest Inventory (NFI) 2006](https://open.canada.ca/data/en/dataset/e2fadaeb-3106-4111-9d1c-f9791d83fbf4)**

Gross merchantable volume - hardwood (GMVHWD) is an expression of merchantable stem hardwood volume (m3) on a per-hectare basis. Available here as a raster (GeoTIF) with a 20 m pixel resolution.Download: Here The Saskatchewan Ministry of Environment, Forest Service Branch, has developed a forest resource inventory (FRI) which meets a variety of strategic and operational planning information needs for the boreal plains. Such needs include information on the general land cover, terrain, and growing stock (height, diameter, basal area, timber volume and stem density) within the provincial forest and adjacent forest fringe. This inventory provides spatially explicit information as 10 m or 20 m raster grids and as vectors polygons for relatively homogeneous forest stands or naturally non-forested areas with a 0.5 ha minimum area and a 2.0 ha median area.  Gross merchantable volume per hectare - hardwood (GMVHWD) is an expression of merchantable hardwood stem volume (m3) on a per-hectare basis. Calculations are made assuming a cut-to-length scenario, and including all stem wood from a 30 cm stump height to an 8 cm top diameter (inside bark), with a minimum bole length of 5.1 m and a minimum log length of 2.7 m for hardwood. GMVHWD is available here as a color-mapped 16-bit unsigned integer raster grid in GeoTIFF format with a 20 m pixel resolution. An ArcGIS Pro layer file (*.lyrx) is supplied for viewing GMVHWD data in the following 50 m3/ha categories. Domain: [NULL, 0…1000]. RANGE LABEL RED GREEN BLUE 0 <= GMVHWD < 25 0 NA NA NA 25 <= GMVHWD < 75 50 63 81 181 75 <= GMVHWD < 125 100 66 101 160 125 <= GMVHWD < 175 150 68 121 138 175 <= GMVHWD < 225 200 71 140 117 225 <= GMVHWD < 275 250 74 160 96 275 <= GMVHWD < 325 300 85 178 79 325 <= GMVHWD < 375 350 123 191 74 375 <= GMVHWD < 425 400 161 203 70 425 <= GMVHWD < 475 450 198 216 66 475 <= GMVHWD < 525 500 236 229 61 525 <= GMVHWD < 575 550 255 226 53 575 <= GMVHWD < 625 600 255 209 40 625 <= GMVHWD < 675 650 255 191 28 675 <= GMVHWD < 725 700 255 174 16 725 <= GMVHWD < 775 750 255 156 3 775 <= GMVHWD < 825 800 253 139 9 825 <= GMVHWD < 875 850 251 121 20 875 <= GMVHWD < 925 900 249 103 31 925 <= GMVHWD < 975 950 246 85 43 975 <= GMVHWD <= 1000 1000 244 67 54 For more information, see the Forest Inventory Standard of the Saskatchewan Environmental Code, Forest Inventory Chapter.

The raster maps depict a suite of forest attributes in 2001* and 2011 at 250 m by 250 m spatial resolution. The maps were produced using the k nearest neighbours method applied to MODIS imagery and trained from National Forest Inventory photo plot data. For detailed information about map production methods please refer to Beaudoin et al. (2018) "Tracking forest attributes across Canada between 2001 and 2011 using the k nearest neighbours mapping approach applied to MODIS imagery." Canadian Journal of Forest Research 48, 85-93. https://cfs.nrcan.gc.ca/publications?id=38979 The map datasets may be downloaded from https://nfi.nfis.org/downloads/nfi_knn2011.zip or https://open.canada.ca/data/en/dataset/ec9e2659-1c29-4ddb-87a2-6aced147a990 * Note: the forest composition (leading tree genus) map depicts forest attributes in 2001.How can this data be used?The resolution and accuracy of these map products are best suited for strategic-level forest reporting and informing policy and decision making at regional to national scales. As these maps also offer a coherent set of quantitative values for a large suite of forest attributes, they can be used as baseline information for modelling and in calculations such as merchantable forest volume or percentage of tree species. It is also possible to overlay these maps with other maps produced on the same pixel grid to make assessments of disturbance impacts, such as fire and harvests.

Canada's National Forest Inventory (NFI) sampling program is designed to support reporting on forests at the national scale. On the other hand, continuous maps of forest attributes are required to support strategic analyses of regional policy and management issues. We have therefore produced maps covering 4.03 × 106 km2 of inventoried forest area for the 2001 base year using standardised observations from the NFI photo plots (PP) as reference data. We used the k nearest neighbours (kNN) method with 26 geospatial data layers including MODIS spectral data and climatic and topographic variables to produce maps of 127 forest attributes at a 250 × 250 m resolution. The stand-level attributes include land cover, structure, and tree species relative abundance. In this article, we report only on total live aboveground tree biomass, with all other attributes covered in the supplementary data (http://nrcresearchpress.com/doi/suppl/10.1139/cjfr-2013-0401). In general, deviations in predicted pixel-level values from those in a PP validation set are greater in mountainous regions and in areas with either low biomass or sparse PP sampling. Predicted pixel-level values are overestimated at small observed values and underestimated at large ones. Accuracy measures are improved through the spatial aggregation of pixels to 1 km2 and beyond. Overall, these new products provide unique baseline information for strategic-level analyses of forests (https://nfi.nfis.org)Collection:- **[Canada's National Forest Inventory (NFI) 2006](https://open.canada.ca/data/en/dataset/e2fadaeb-3106-4111-9d1c-f9791d83fbf4)**

The raster maps depict a suite of forest attributes in 2001* and 2011 at 250 m by 250 m spatial resolution. The maps were produced using the k nearest neighbours method applied to MODIS imagery and trained from National Forest Inventory photo plot data. For detailed information about map production methods please refer to Beaudoin et al. (2018) "Tracking forest attributes across Canada between 2001 and 2011 using the k nearest neighbours mapping approach applied to MODIS imagery." Canadian Journal of Forest Research 48, 85-93. https://cfs.nrcan.gc.ca/publications?id=38979 The map datasets may be downloaded from https://nfi.nfis.org/downloads/nfi_knn2011.zip or https://open.canada.ca/data/en/dataset/ec9e2659-1c29-4ddb-87a2-6aced147a990 * Note: the forest composition (leading tree genus) map depicts forest attributes in 2001.How can this data be used?The resolution and accuracy of these map products are best suited for strategic-level forest reporting and informing policy and decision making at regional to national scales. As these maps also offer a coherent set of quantitative values for a large suite of forest attributes, they can be used as baseline information for modelling and in calculations such as merchantable forest volume or percentage of tree species. It is also possible to overlay these maps with other maps produced on the same pixel grid to make assessments of disturbance impacts, such as fire and harvests.