High-resolution wetland year count for Canada (1984-2016)

High-resolution wetland year count for Canada (1984-2016) The wetland year count data included in this product is national in scope (entire forested ecosystem) and represents a wall to wall wetland characterization for 1984-2016 (Wulder et al. 2018). This product was generated using both annual gap free composite reflectance images and annual forest change maps following the Virtual Land Cover Engine (VLCE) process (see Hermosilla et al. 2018), over the 650 million ha forested ecosystems of Canada. Elements of the VLCE classification approach are inclusion of disturbance information in the processes as well as ensuring class transitions over time are logical. Further, a Hidden Markov Model is implemented to assess individual year class likelihoods to reduce variability and possible noise in year-on-year class assignments (for instances when class likelihoods are similar). The values can range from 0 to 33 denoting the number of years between 1984 and 2016 that a pixel was classified as wetland or wetland-treed in the VLCE data cube. 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). A detailed description of the VLCE process and the subsequently generated land cover product, including an accuracy assessment, please see Hermosilla et al. (2018). The focused wetland analyses can be found described in Wulder et al (2018). Geographic extent: Canada's forested ecosystems (~ 650 Mha) Time period: 1985–2011 2020-09-25 Natural Resources Canada mike.wulder@canada.ca Form DescriptorsNature and EnvironmentScience and TechnologyForests Satellite Forest Information for CanadaHTML 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 wetlands_year_sum_wkg_rWMS https://opendata.nfis.org/mapserver/cgi-bin/wms_change.cgi?service=wms&version=1.3.0&request=GetCapabilities&layers=wetlands_year_sum&legend_format=image/png&feature_info_type=text/html CA_wetland_year_sum.zipZIP https://opendata.nfis.org/downloads/forest_change/CA_wetland_year_sum.zip wetlands_year_sum_wkg_rWMS https://opendata.nfis.org/mapserver/cgi-bin/wms_change.cgi?service=wms&version=1.3.0&request=GetCapabilities&layers=wetlands_year_sum&legend_format=image/png&feature_info_type=text/html A National Assessment of Wetland Status and Trends for Canada’s Forested Ecosystems Using 33 Years of Earth Observation Satellite DataPDF https://www.mdpi.com/2072-4292/10/10/1623 Disturbance-Informed Annual Land Cover Classification Maps of Canada's Forested Ecosystems for a 29-Year Landsat Time SeriesPDF https://www.tandfonline.com/doi/full/10.1080/07038992.2018.1437719

The wetland year count data included in this product is national in scope (entire forested ecosystem) and represents a wall to wall wetland characterization for 1984-2016 (Wulder et al. 2018). This product was generated using both annual gap free composite reflectance images and annual forest change maps following the Virtual Land Cover Engine (VLCE) process (see Hermosilla et al. 2018), over the 650 million ha forested ecosystems of Canada. Elements of the VLCE classification approach are inclusion of disturbance information in the processes as well as ensuring class transitions over time are logical. Further, a Hidden Markov Model is implemented to assess individual year class likelihoods to reduce variability and possible noise in year-on-year class assignments (for instances when class likelihoods are similar). The values can range from 0 to 33 denoting the number of years between 1984 and 2016 that a pixel was classified as wetland or wetland-treed in the VLCE data cube.

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). A detailed description of the VLCE process and the subsequently generated land cover product, including an accuracy assessment, please see

Hermosilla et al. (2018). The focused wetland analyses can be found described in Wulder et al (2018).

Geographic extent:

Canada's forested ecosystems (~ 650 Mha)

Time period:

1985–2011

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Contact Information

Delivery Point: 506 Burnside Road West

City: Victoria

Administrative Area: British Columbia

Postal Code: V8Z 1M5

Country: Canada

Electronic Mail Address: mike.wulder@canada.ca

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