High-resolution binary wetland map for Canada (2001-2016)

High-resolution binary wetland map for Canada (2001-2016) High-resolution binary wetland map for Canada (2001-2016). Wetland map for the forested ecosystems of Canada focused on current conditions. The binary wetland data included in this product is national in scope (entirety of forested ecosystem) and represents the wall to wall characterization for 2001-2016 (see 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). For this product, to be considered as currently a wetland a pixel must have been classified as wetland at least 80% or 13 of the 16 years between 2001 and 2016, inclusively. For an overview on the data, image processing, and time series change detection methods applied, see Wulder et al. (2018). Wulder, M.A., Z. Li, E. Campbell, J.C. White, G. Hobart, T. Hermosilla, and N.C. Coops (2018). A National Assessment of Wetland Status and Trends for Canada’s Forested Ecosystems Using 33 Years of Earth Observation Satellite Data. Remote Sensing. For a detailed description of the VLCE process and the subsequently generated land cover product, including an accuracy assessment, please see Hermosilla et al. (2018). 2019-02-27 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_post2000_wkg_rWMS https://opendata.nfis.org/mapserver/cgi-bin/wms_change.cgi?service=wms&version=1.3.0&request=GetCapabilities&layers=wetlands_post2000&legend_format=image/png&feature_info_type=text/html CA_wetlands_post2000.zipZIP https://opendata.nfis.org/downloads/forest_change/CA_wetlands_post2000.zip wetlands_post2000_wkg_rWMS https://opendata.nfis.org/mapserver/cgi-bin/wms_change.cgi?service=wms&version=1.3.0&request=GetCapabilities&layers=wetlands_post2000&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

High-resolution binary wetland map for Canada (2001-2016). Wetland map for the forested ecosystems of Canada focused on current conditions.

The binary wetland data included in this product is national in scope (entirety of forested ecosystem) and represents the wall to wall characterization for 2001-2016 (see 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). For this product, to be considered as currently a wetland a pixel must have been classified as wetland at least 80% or 13 of the 16 years between 2001 and 2016, inclusively.

For an overview on the data, image processing, and time series change detection methods applied, see Wulder et al. (2018).

Wulder, M.A., Z. Li, E. Campbell, J.C. White, G. Hobart, T. Hermosilla, and N.C. Coops (2018). A National Assessment of Wetland Status and Trends for Canada’s Forested Ecosystems Using 33 Years of Earth Observation Satellite Data. Remote Sensing.

For a detailed description of the VLCE process and the subsequently generated land cover product, including an accuracy assessment, please see Hermosilla et al. (2018).

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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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