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The mapping accuracy of each list was then calculated and used to assess the effectiveness of the method.
The mapping accuracy of this effort (85.1%) suggests that local relief models captured slight geomorphologic changes that successfully predict wetland boundaries in low-relief ecosystems.
An overall mapping accuracy of 94% in validation was obtained from the GIS-fuzzy logic modeling approach relative to 88% derived from the randomForest modeling technique.
These modifications increased the overall mapping accuracy of GIRAS from 66.5% to 77.8%, mainly by improving its resolution so that small, heterogeneous land cover patches were represented.
Map validation indicated an overall mapping accuracy of 74%, and the aspen predicted class was determined to be over 77% accurate.
The increased spatial mapping accuracy of Constrained Spectral Conditioning is shown for a simulated dataset of point sources which vary in strength.
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The CART and Random Forest classifiers produced the highest user's (78 92%) and producer's (55 77%) mapping accuracies of clearing compared against the woody vegetation loss maps produced by the Queensland Government when detecting change within epochs for which training data were available.
This could explain the lack of a clear ranking between the mapping accuracies of TP and Score in Table 1.
Lastly, the mapping accuracies of BSMAP and BS-seeker2 were found to be dependent on the methylation level, whereas Bismark were not.
Using a fusion of airborne hyperspectral imagery and light detection and ranging (LiDAR) data, a 1.0 m spatial resolution classified land cover map (accuracy of 88.6%) was produced for the city of Surrey, British Columbia, Canada, from which landscape imperviousness was then derived.
As shown in Figure 2, we observed a highly significant QTL effect (LRT = 20 to 22, i.e. P = 0.0000077 to 0.0000027), but were unable to improve the mapping accuracy because of the presence of two or three peaks.
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