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2.4. ZSD model assessment and validation
This protocol is extracted from research article:
Remote sensing of water transparency variability in the Ibitinga reservoir during COVID-19 lockdown
Remote Sens Appl, Apr 17, 2021;

Procedure

Before validate the model, we tested the in situ ZSD dataset for normal distribution using the Kolmogorov-Smirnov (K–S) test. The modeled ZSD were assessed and validated using the in-situ collected data. The accuracy assessment of ZSD algorithms was performed using Root Mean Square difference (RMSD, Equation (3)), Mean Absolute Percentage Error (MAPE, Equation (4)), Bias (Equation (5)), and Nash–Sutcliffe model efficiency coefficient (NSE, Equation (6)).

where, $yiE$ is the estimated value for the i observation; $yiM$ is the measured value for the i observation; $ymax$ is the maximum measured value; $ymin$ is the minimum measured value, and $yaverageM$ is the average of measured values.

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