public override void ComputeLookupTableForAnalysis(double sensorElevation)
{
var slopeRange = new VisualisationRangeWithColor
{
ValueStart = 0,
ValueEnd = 100,
ColorStart = new ColorHSL(1.0, 1.0, 1.0), // White
ColorEnd = new ColorHSL(1.0, 1.0, 0.3) // Dark Red
};
ComputeLinearRanges(slopeRange);
}
public override void ComputeLookupTableForAnalysis(double sensorElevation)
{
var rightAspect = new VisualisationRangeWithColor
{
ValueStart = 0,
ValueEnd = 180,
ColorStart = new ColorHSL(1.0, 1.0, 1.0), // White
ColorEnd = new ColorHSL(1.0, 1.0, 0.3) // Dark Red
};
var leftAspect = new VisualisationRangeWithColor
{
ValueStart = 180, // For the other side of the aspect we loop back to the 0 value
ValueEnd = 359,
ColorStart = new ColorHSL(1.0, 1.0, 0.3), // Dark Red
ColorEnd = new ColorHSL(1.0, 1.0, 1.0) // White
};
ComputeLinearRanges(rightAspect, leftAspect);
}
public override void ComputeLookupTableForAnalysis(double sensorElevation)
{
var normalElevationRange = new VisualisationRangeWithColor
{
ValueStart = 0,
ValueEnd = (int)sensorElevation - 201,
ColorStart = new ColorHSL(0.20, 0.35, 0.02),
ColorEnd = new ColorHSL(0.50, 0.85, 0.85)
}; // A clear gradient for pixels inside the expected normal model height
var extraElevationRange = new VisualisationRangeWithColor
{
ValueStart = (int)sensorElevation - 200,
ValueEnd = (int)sensorElevation + 1,
ColorStart = new ColorHSL(1.00, 0.85, 0.76),
ColorEnd = new ColorHSL(0.50, 0.85, 0.99)
}; // A fallback gradiend for those outside (TODO: set sensible colors here)
ComputeLinearRanges(normalElevationRange, extraElevationRange);
}
