Spectral Index Optimizer

This algorithm finds the optimal two-feature index by modelling a target variable via linear regression.

Parameters

Training dataset [file]

The regression dataset.

Formular [string]

The formular with variable features A and B to be optimized, and up to three fixed features F1, F2 and F3.

Default: (A-B) / (A+B)

Max. features [number]

Limit the number of features to be evaluated. Default is to use all features.

Fixed feature F1 [number]

Specify to use a fixed feature F1 in the formular.

Fixed feature F2 [number]

Specify to use a fixed feature F2 in the formular.

Fixed feature F3 [number]

Specify to use a fixed feature F3 in the formular.

Outputs

Output score matrix [rasterDestination]

Raster file destination.

Command-line usage

>qgis_process help enmapbox:SpectralIndexOptimizer:

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Arguments
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dataset: Training dataset
    Argument type:  file
    Acceptable values:
            - Path to a file
formular: Formular
    Default value:  (A-B) / (A+B)
    Argument type:  string
    Acceptable values:
            - String value
maxFeatures: Max. features (optional)
    Argument type:  number
    Acceptable values:
            - A numeric value
f1: Fixed feature F1 (optional)
    Argument type:  number
    Acceptable values:
            - A numeric value
f2: Fixed feature F2 (optional)
    Argument type:  number
    Acceptable values:
            - A numeric value
f3: Fixed feature F3 (optional)
    Argument type:  number
    Acceptable values:
            - A numeric value
outScoreMatrix: Output score matrix
    Argument type:  rasterDestination
    Acceptable values:
            - Path for new raster layer

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Outputs
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outScoreMatrix: <outputRaster>
    Output score matrix