Forest Gross Stem Volume 2015

Forest Gross Stem Volume 2015 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 2020-04-08 Natural Resources Canada mike.wulder@canada.ca Form DescriptorsNature and EnvironmentScience and TechnologyForests Satellite Forest Information for Canada (English)HTML https://opendata.nfis.org/mapserver/nfis-change_eng.html Satellite Forest Information for Canada (French)HTML https://opendata.nfis.org/mapserver/nfis-change_fra.html A nationwide annual characterization of 25 years of forest disturbance and recovery for Canada using Landsat time seriesHTML http://www.sciencedirect.com/science/article/pii/S0034425717301360 Forest Gross Stem Volume 2015WMS https://opendata.nfis.org/mapserver/cgi-bin/wms_change_fra.cgi?service=wms&version=1.3.0&request=GetCapabilities&layers=stem_vol_fra&legend_format=image/png&feature_info_type=text/html CA_forest_gross_stem_volume_2015_NN.zipZIP https://opendata.nfis.org/downloads/forest_change/CA_forest_gross_stem_volume_2015_NN.zip Forest Gross Stem Volume 2015WMS https://opendata.nfis.org/mapserver/cgi-bin/wms_change.cgi?service=wms&version=1.3.0&request=GetCapabilities&layers=stem_vol&legend_format=image/png&feature_info_type=text/html Three decades of forest structural dynamics over Canada's forested ecosystems using Landsat time-series and lidar plots.PDF https://doi.org/10.1016/j.rse.2018.07.024

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

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Delivery Point: 506 Burnside Road West

City: Victoria

Administrative Area: British Columbia

Postal Code: V8R 2E4

Country: Canada

Electronic Mail Address: mike.wulder@canada.ca

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