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. Author manuscript; available in PMC: 2021 Jan 5.
Published in final edited form as: Int J Remote Sens. 2019 May 1;40(15):5768–5798. doi: 10.1080/01431161.2019.1582112

Table 4.

A comparison of the accuracy statistics generated when the validation points were randomly sampled across (1) all image extents, (2) lakes only, (3) wetlands only, (4) rivers only, and (5) using field-based water level data from the Cottonwood Lake Study Area. Validation points were generated independently for each of the five separate validation efforts. MF: matched filtered, GSW: Global Surface Water monthly product, n: number of validation points.

Sensor Validation n Omission
Error (%)
Commission
Error (%)
Overall
Accuracy (%)
Dice
Coefficient
(%)
Relative
Bias (%)
MF Landsat All aquatic systems 12,000 7 1.9 95.6 95.5 −5.2
Lakes 2,000 3.6 1.7 97.4 97.3 −1.9
Wetlands 1,600 7.5 4.8 93.9 93.8 −2.9
Rivers 1,600 64.3 2.4 67.4 52.3 −63.4
Field water levels 400 22 4.4 87.3 85.9 −18.5
GSW Landsat All aquatic systems 12,000 15.7 1.4 91.6 90.9 −14.5
Lakes 2,000 6.4 1.9 95.9 95.8 −4.6
Wetlands 1,600 14.4 2.4 91.8 91.2 −12.3
Rivers 1,600 84.3 0.8 57.8 27.2 −84.1
Field water levels 400 42 0 79.2 73.1 −41.8