Research Article

Assessment of Sentinel-2 and Landsat-8 OLI for Small-Scale Inland Water Quality Modeling and Monitoring Based on Handheld Hyperspectral Ground Truthing

Table 5

Evaluation of the performance of various atmospheric correction methods for Landsat-8 image processing.

Atmospheric correctionStatistical indexB1B2B3B4B5

DOSRMSE0.0170.0150.0220.0380.057
NRMSE0.1350.0790.1420.0920.251
MAE0.0140.0110.0170.0330.046
Bias-0.011-0.008-0.016-0.032-0.046
ATCORRMSE0.0310.0240.030.0410.058
NRMSE0.2470.1270.1930.0990.255
MAE0.0260.020.0240.0330.045
Bias-0.026-0.018-0.023-0.032-0.044
DSFRMSE0.0150.0150.0220.0320.047
NRMSE0.1190.0790.1420.0780.207
MAE0.0130.0110.0130.0210.029
Bias0.006-0.0001-0.01-0.02-0.025
EXPRMSE0.030.0280.0330.0350.059
NRMSE0.2390.1480.2130.0850.260
MAE0.0250.0180.0270.0310.048
Bias-0.025-0.018-0.023-0.031-0.046
L8SRRMSE0.0470.0380.0450.0510.066
NRMSE0.3740.2000.2900.1240.290
MAE0.0390.0470.0480.0420.071
Bias-0.041-0.029-0.037-0.043-0.041