sits_filter: Filter time series with smoothing filter

In e-sensing/sits: Satellite Image Time Series Analysis for Earth Observation Data Cubes

Filter time series with smoothing filter

Description

Applies a filter to all bands, using a filter function such as sits_whittaker() or sits_sgolay().

Usage

sits_filter(data, filter = sits_whittaker())

Arguments

data	Time series (tibble of class "sits") or matrix.
filter	Filter function to be applied.

Value

Filtered time series

Examples

if (sits_run_examples()) {
    # Retrieve a time series with values of NDVI
    point_ndvi <- sits_select(point_mt_6bands, bands = "NDVI")
    # Filter the point using the Whittaker smoother
    point_whit <- sits_filter(point_ndvi, sits_whittaker(lambda = 3.0))
    # Merge time series
    point_ndvi <- sits_merge(point_ndvi, point_whit,
                             suffix = c("", ".WHIT"))
    # Plot the two points to see the smoothing effect
    plot(point_ndvi)
}

e-sensing/sits documentation built on Jan. 28, 2024, 6:05 a.m.