Description

The Forest Change Type data described here is an update to previously posted open data. The date range for this data is 2012 to 2015. The Forest Change Type data for the prior period from 1985 to 2011 can be found here: https://opendata.nfis.org/mapserver/nfis-change_eng.html or https://gcgeo.gc.ca/geonetwork/search/eng search for “Forest Change” but you must be logged in to see the data. It is developed within the framework of Canada’s National Terrestrial Ecosystem Monitoring System (NTEMS). The forest change data included in this product is national in scope (entire forested ecosystem) and represents the first wall-to-wall characterization of wildfire and harvest in Canada at a spatial resolution commensurate with human impacts. The information outcomes represent 25 years of stand replacing change in Canada’s forests, derived from a single, consistent spatially-explicit data source, derived in a fully automated manner. This demonstrated capacity to characterize forests at a resolution that captures human impacts is key to establishing a baseline for detailed monitoring of forested ecosystems from management and science perspectives. Time series of Landsat data were used to characterize national trends in stand replacing forest disturbances caused by wildfire and harvest for the period 1985–2010 for Canada's 650 million hectare forested ecosystems (https://authors.elsevier.com/sd/article/S0034425717301360). Landsat data has a 30m spatial resolution, so the change information is highly detailed and is commensurate with that of human impacts. These data represent annual stand replacing forest changes. The stand replacing disturbances types labeled are wildfire and harvest, with lower confidence wildfire and harvest, also shared. The distinction and sharing of lower class membership likelihoods is to indicate to users that some change events were more difficult to allocate to a change type, but are generally found to be in the correct category. For an overview on the data, image processing, and time series change detection methods applied, as well as information on independent accuracy assessment of the data, see Hermosilla et al. (2016; http://www.tandfonline.com/doi/full/10.1080/17538947.2016.1187673). The data available is, 1. a binary change/no-change; 2. Change year; and, 3. Change type. When using this data, please cite as: Hermosilla, T.,Wulder, M. A.,White, J. C.,Coops, N. C.,Hobart, G. W., (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. DOI: 10.1016/j.jag.2017.07.013 White, J.C., M.A. Wulder, T. Hermosilla, N.C. Coops, and G. Hobart. (2017). A nationwide annual characterization of 25 years of forest disturbance and recovery for Canada using Landsat time series. Remote Sensing of Environment. 192: 303-321. DOI: 10.1016/j.rse.2017.03.035.

Resources

Name	Format	Description	Link
Satellite Forest Information for Canada	HTML		http://opendata.nfis.org/mapserver/nfis-change_eng.html
Satellite Forest Information for Canada	HTML		http://opendata.nfis.org/mapserver/nfis-change_fra.html
Change type 2012-2015	ZIP		https://opendata.nfis.org/downloads/forest_change/C2C_change_type_2012_2015.zip
C2C_change_type_2012_2015	WMS		https://opendata.nfis.org/mapserver/cgi-bin/wms_change.cgi?request=GetCapabilities&service=WMS&version=1.3.0&layers=C2C_change_type_2012_2015&legend_format=image%2Fpng&feature_info_type=text%2Fhtml
C2C_change_type_2012_2015	WMS		https://opendata.nfis.org/mapserver/cgi-bin/wms_change_fra.cgi?request=GetCapabilities&service=WMS&version=1.3.0&layers=C2C_change_type_2012_2015&legend_format=image%2Fpng&feature_info_type=text%2Fhtml
A nationwide annual characterization of 25 years of forest disturbance and recovery for Canada using Landsat time series	PDF		https://www.sciencedirect.com/science/article/pii/S0034425717301360?via%3Dihub
Updating Landsat time series of surface-reflectance composites and forest change products with new observations	PDF		https://www.sciencedirect.com/science/article/pii/S0303243417301599?via%3Dihub
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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