Produce image catalog without multiple entries per date

Sometimes several images could be available for the given day. It can be useful to have a list where for any given day there is just one row in the list. This unique row can be selected to represent either the least cloud coverage or the biggest coverage of the are of interest.

Usage

UniqueCatalog(
  imageCatalog,
  by = c("areaCoverage", "tileCloudCover"),
  keep = names(imageCatalog)
)

Arguments

imageCatalog

data.frame as returned by the SearchCatalog function.

by

character indicating which attribute is used to select the best image per date. Can be either "areaCoverage" or "tileCloudCover".

keep

list of columns to keep in output. Default: all columns in input.

Value

data.frame with one row per date.

Details

By default, the returned data.frame has the same columns as the input catalog. User can specify a subset of columns to include in the output through the keep parameter.

See also

SearchCatalog

Examples

if (FALSE) { # \dontrun{
dsn <- system.file("extdata", "luxembourg.geojson", package = "CDSE")
aoi <- sf::read_sf(dsn, as_tibble = FALSE)
images <- SearchCatalog(aoi = aoi, from = "2023-07-01", to = "2023-07-31",
          collection = "sentinel-2-l2a", with_geometry = TRUE, client = OAuthClient)
best_daily <- UniqueCatalog(images, by = "areaCoverage",
                keep = c("acquisitionDate", "tileCloudCover", "areaCoverage", "satellite"))
} # }