#' Fetches list of S1 products
#' @param roiId an id of a region of interest which to be fetched
#' @param dateMin minimum acquisition date of an image
#' @param dateMax maximum acquisition date of an image
#' @param dir a target directory (although this function doesn't download files
#' it creates target file paths)
#' @param projection a projection of the returned product extents
#' @return data frame describing matching S1 products
#' @import dplyr
#' @export
# getS1Products = function(roiId, dateMin, dateMax, dir, projection) {
# if (!dir.exists(dir)) {
# dir.create(dir, recursive = TRUE)
# }
#
# dirDict = c('desc', 'asc')
# products = sentinel2:::S2_do_query(list(regionId = roiId, product = '%_GRD%', dateMin = dateMin, dateMax = dateMax), '/s1') %>%
# dplyr::filter(!is.na(url)) %>%
# dplyr::mutate(geometry = sentinel2::geojson_to_geometry(geometry, 'sf')) %>%
# dplyr::mutate(geometry = purrr::map(geometry, sf::st_transform, projection)) %>%
# dplyr::group_by(date, asc) %>%
# dplyr::mutate(
# file = sprintf('%s/%s.zip', dir, product)
# ) %>%
# dplyr::ungroup()
# return(products)
# }
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