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Table 4 Root mean square error (RMSE) values of zero–one inflated beta (ZOIB) regression predictions of tree species proportions. The Pearson correlation coefficient between predicted and observed values is presented in parenthesis after the RMSE values. RGB indicates that red–green–blue data were used, and MS indicates that multispectral data were used in addition to red–green–blue data. Values in bold indicate the lowest prediction error for that sensor configuration and tree species

From: Band configurations and seasonality influence the predictions of common boreal tree species using UAS image data

 

Bands

Spring

Summer

Autumn

Pine

RGB

0.27 (0.67)

0.26 (0.69)

0.26 (0.69)

MS

0.25 (0.73)

0.24 (0.75)

0.24 (0.75)

Spruce

RGB

0.26 (0.67)

0.28 (0.59)

0.25 (0.69)

MS

0.21 (0.80)

0.22 (0.77)

0.24 (0.74)

Broadleaved

RGB

0.25 (0.57)

0.27 (0.46)

0.17 (0.83)

MS

0.16 (0.84)

0.13 (0.90)

0.15 (0.87)