For model implementation, the non-shade fractions were constrained between 0.05 and 1.05; the maximum RMS error allowed was set to 0.025; and the maximum allowable shade fraction was set to 0.5 so that the water bodies can be excluded by making them remain unmodeles (Powell, 2011).
Then the model that met all the constraints and had the lowest RMS error was selected to estimate the
VeIeS and shade fractions for each pixel within the urban subset.
The output was an image with six layers, including the fractions of impervious surface, vegetation, soil, and shade, model number, and RMS error.
For model implementation, the non-shade fractions were constrained between 0.05 and 1.05; the maximum RMS error allowed was set to 0.025; and the maximum allowable shade fraction was set to 0.5 so that the water bodies can be excluded by making them remain unmodeles (Powell, 2011). Then the model that met all the constraints and had the lowest RMS error was selected to estimate theVeIeS and shade fractions for each pixel within the urban subset.The output was an image with six layers, including the fractions of impervious surface, vegetation, soil, and shade, model number, and RMS error.
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