@@ -222,6 +222,13 @@ Y_FACTOR = 0.75
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# Should selection or weighting be performed?
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# Type: Logical. Valid values: {TRUE,FALSE}
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SELECT = TRUE
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+ # How to combine individual scores?
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+ # In the default behaviour, the individual scores are summed up.
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+ # You can also choose to multiply the scores. This applies a
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+ # strong penalty on an observation that performs poor in a single score.
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+ # The weigting of scores is applied in both cases.
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+ # Type: Character. Valid values: {ADDITIVE,MULTIPLICATIVE}
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+ COMBINE_SCORES = ADDITIVE
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# These parameters specify the function values used for fitting the DOY
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# scoring functions. The function type is automatically chosen from the
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# given values, i.e.
@@ -251,6 +258,16 @@ DOY_STATIC = 120 180 240
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# parts of the year are selected.
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# Type: Logical. Valid values: {TRUE,FALSE}
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OFF_SEASON = FALSE
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+ # This parameter specifies whether observations with a cloud score of less than 1%
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+ # should be candidates. On one hand, this reduces nodata gaps in the composite. On the other hand,
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+ # it will include clouds if there is no better observation.
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+ # Type: Logical. Valid values: {TRUE,FALSE}
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+ USE_CLOUDY = FALSE
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+ # This parameter specifies whether observations with a haze score of less than 1%
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+ # should be candidates. On one hand, this reduces nodata gaps in the composite. On the other hand,
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+ # it will include haze if there is no better observation.
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+ # Type: Logical. Valid values: {TRUE,FALSE}
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+ USE_HAZY = FALSE
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# This parameter controls the strength of the DOY score.
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# 0 disables the use of this score.
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# Type: Float. Valid values: [0,1]
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