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Table 8 Evaluation of the accuracy of RF classification for the different classes and set of variables

From: Assessing a novel modelling approach with high resolution UAV imagery for monitoring health status in priority riparian forests

No. of classes considered

Overall accuracy for all variables

Overall accuracy without

texture variables from NDVI and DSM

Overall accuracy without

variables from DSM

4 classes

67%

60%

59%

3 classes

72%

62%

61%

2 classes

90%

86%

85%