Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The Prairie Landscape Inventory (PLI) working team of Habitat Unit in the Fish, Wildlife and Lands Branch, Ministry of Environment aims to develop improved methods of assessing land cover and land use for conservation. Native grassland, in particular, has been one of the most hard to map at risk ecosystems because of difficulty for imagery classification methods to distinguish native from tame grasslands. Improved classification methods will provide valuable information for habitat suitability, identifying high biodiversity potential and invasion risk potential. </SPAN></P><P><SPAN>This reliability raster brings the understanding of classification accuracy (certainty) into a spatial scale prospective, illustrating the level of accuracy of the PLI Classification in the Mixed Grassland Ecoregion. This raster is scaled between 1 to 0, 1 is representing the highest accuracy, and 0 is absolutely the highest uncertainty. </SPAN></P><P><SPAN>The PLI Classification for the Mixed Grassland Ecoregion (2019) has a resolution of 10m and was based on machine learning analysis and remote sensing data of Sentinel-1 and Sentinel-2 imagery on July to August of 2017-2019 dates.</SPAN></P></DIV></DIV></DIV>
Copyright Text: Habitat Unit in the Fish, Wildlife and Lands Branch, Ministry of Environment
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The Prairie Landscape Inventory (PLI) working team of Habitat Unit in the Fish, Wildlife and Lands Branch, Ministry of Environment aims to develop improved methods of assessing land cover and land use for conservation. Native grassland, in particular, has been one of the most hard to map at risk ecosystems because of difficulty for imagery classification methods to distinguish native from tame grasslands. Improved classification methods will provide valuable information for habitat suitability, identifying high biodiversity potential and invasion risk potential. </SPAN></P><P><SPAN>This reliability raster brings the understanding of classification accuracy (certainty) into a spatial scale prospective, illustrating the level of accuracy of the PLI Classification in the Mixed Grassland Ecoregion. This raster is scaled between 1 to 0, 1 is representing the highest accuracy, and 0 is absolutely the highest uncertainty. </SPAN></P><P><SPAN>The PLI Classification for the Mixed Grassland Ecoregion (2019) has a resolution of 10m and was based on machine learning analysis and remote sensing data of Sentinel-1 and Sentinel-2 imagery on July to August of 2017-2019 dates.</SPAN></P></DIV></DIV></DIV>
Copyright Text: Habitat Unit in the Fish, Wildlife and Lands Branch, Ministry of Environment