Fig 1.
Location of the Boreal Forest Natural Region and the ABMI photo-plots used for training and validation, underlain by elevation.
The ABMI has given permission to publish this image under a CC BY 4.0 license.
Table 1.
Candidate input variables for the peatland probability model.
Fig 2.
All 13 candidate input variables across the entire study area.
Two different versions of TPI and TWI are shown since one version was calculated with LiDAR + SRTM topographic data and one was calculated with just SRTM topographic data. The SRTM derived version is noted by the “_SRTM” in the variable name. The ABMI has given permission to publish this image under a CC BY 4.0 license.
Fig 3.
The distribution of values by peatland and mineral wetland classes for the 13 possible input variables in the peatland occurrence model.
The ABMI has given permission to publish this image under a CC BY 4.0 license.
Table 2.
Cross correlation (Pearson coefficient) between 13 possible input variables and a binary peatland/mineral wetland grid.
PL represents the peatland (1) mineral wetland (0) values. The SRTM version of TWI and TPI were removed since to avoid redundancy with the LiDAR + SRTM derived versions.
Table 3.
Relative importance of 13 candidate input variables in the BRT peatland occurrence model.
Fig 4.
The relative importance of the input variables in the peatland probability model.
The ABMI has given permission to publish this image under a CC BY 4.0 license.
Fig 5.
Mean partial dependence response curves for the six input variables in the peatland probability model.
The solid line represents the mean response over 40 iterations while the light blue represents the standard deviation of the 40 iterations. The ABMI has given permission to publish this image under a CC BY 4.0 license.
Fig 6.
a) Peatland probability model applied across the study area. Greens show peatlands and browns show mineral wetlands. Deeper shades represent a higher probability of either class. Upland areas are not shown in the map and background is a DEM derived hill shade. b) Standard deviation in peatland probability across 40 models. Darker reds represent a higher standard deviation and thus more uncertainty in the classification. Beige represents low standard deviation and higher certainty in the classification. The ABMI has given permission to publish this image under a CC BY 4.0 license.
Fig 7.
The BNR divided into four landcover classes: open water, mineral wetland, peatland, and upland.
The water and upland classes are extracted from the ABMI open water and upland classifications. The peatland and mineral wetland classes are the result of the peatland probability classification described in this study. The ABMI has given permission to publish this image under a CC BY 4.0 license.
Table 4.
Area adjusted confusion matrix for the peatland/non-peatland cross validation accuracy assessment.
Table 5.
Area adjusted confusion matrix for the cross validation accuracy assessment with only samples inside wetland areas.
Fig 8.
Flow chart of binary land cover classifications combining into a “traditional” four class landcover inventory.
The ABMI has given permission to publish this image under a CC BY 4.0 license.