Description

Harvest changes occurred from 1985 to 2022 displaying the year of greatest harvest disturbance. It is developed within the framework of Canada’s National Terrestrial Ecosystem Monitoring System (NTEMS). The information outcomes represent 38 years of harvest activity in Canada's forests, derived from a single, consistent, spatially explicit data source in a fully automated manner. Time series of Landsat data with 30 m spatial resolution were used to characterize national trends in stand replacing forest disturbances caused by harvest for the period 1985-2022 for Canada's 650-million-hectare forested ecosystems. When using this data, please cite as: Hermosilla, T., M.A. Wulder, J.C. White, N.C. Coops, G.W. Hobart, L.B. Campbell, 2016. Mass data processing of time series Landsat imagery: pixels to data products for forest monitoring. International Journal of Digital Earth 9(11), 1035-1054. https://doi.org/10.1080/17538947.2016.1187673 ( Hermosilla et al. 2016). See references below for an overview on the data processing, metric calculation, change attribution, and time series change detection methods applied, as well as information on independent accuracy assessment of the data. Hermosilla, T., Wulder, M. A., White, J. C., Coops, N.C., Hobart, G.W., (2015). An integrated Landsat time series protocol for change detection and generation of annual gap-free surface reflectance composites. Remote Sensing of Environment 158, 220-234. ( Hermosilla et al. 2015a). Hermosilla, T., Wulder, M.A., White, J.C., Coops, N.C., Hobart, G.W., (2015). Regional detection, characterization, and attribution of annual forest change from 1984 to 2012 using Landsat-derived time-series metrics. Remote Sensing of Environment 170, 121-132. ( Hermosilla et al. 2015b). Hermosilla, T., M.A. Wulder, J.C. White, N.C. Coops, G. W. Hobart, (2017). Updating Landsat time series of surface-reflectance composites and forest change products with new observations. International Journal of Applied Earth Observation and Geoinformation. 63,104-111. https://doi.org/10.1016/j.jag.2017.07.013 (Hermosilla et al. 2017)

Resources

Name	Format	Description	Link
CA_Forest_Harvest_1985-2022.zip	ZIP		https://opendata.nfis.org/downloads/forest_change/CA_Forest_Fire_1985-2022.zip
CA_Forest_Harvest_1985-2022	WMS		https://opendata.nfis.org/mapserver/cgi-bin/wms_change.cgi?request=GetCapabilities&service=WMS&version=1.3.0&layers=CA_Forest_Harvest_1985-2022&legend_format=image%2Fpng&feature_info_type=text%2Fhtml
CA_Forest_Harvest_1985-2022	WMS		https://opendata.nfis.org/mapserver/cgi-bin/wms_change_fra.cgi?request=GetCapabilities&service=WMS&version=1.3.0&layers=CA_Forest_Harvest_1985-2022&legend_format=image%2Fpng&feature_info_type=text%2Fhtml
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
An integrated Landsat time series protocol for change detection and generation of annual gap-free surface reflectance composites	HTML		https://www.sciencedirect.com/science/article/pii/S0034425714004453
Regional detection, characterization, and attribution of annual forest change from 1984 to 2012 using Landsat-derived time-series metrics	PDF		https://www.sciencedirect.com/science/article/pii/S0034425715301279
Updating Landsat time series of surface-reflectance composites and forest change products with new observations	PDF		https://www.sciencedirect.com/science/article/pii/S0303243417301599
Mass data processing of time series Landsat imagery: pixels to data products for forest monitoring	PDF		https://www.tandfonline.com/doi/full/10.1080/17538947.2016.1187673

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