#' s2_preview_indice
#'
#' @param path_data Path data
#' @param project_name Project name
#' @param collection Collection
#' @param tile Tile
#' @param progress_bar Progress bar if shiny run
#'
#' @return
#' @export
#'
s2_preview_indice <- function(path_data = "~",
project_name,
collection = "Sentinel2_L2A_THEIA",
tile = NULL,
progress_bar = TRUE) {
collection <- ifelse(collection == "l3a", "Sentinel2_L3A_THEIA", "Sentinel2_L2A_THEIA")
if (nchar(tile) > 1) {
# generate indices.json if missing and read it
create_indices_db()
indices_db <- list_indices(
c("n_index", "name", "longname", "s2_formula", "a", "b", "c", "d"),
all = TRUE
)
# function to create formula and bands for gdalcubes
formula <- function(s2_formula, a, b, c, d) {
stringr::str_replace_all(s2_formula, c("band_" = "B", "par_a" = as.character(a), "par_b" = as.character(b), "par_c" = as.character(c), "par_d" = as.character(d)))
}
formula_v <- Vectorize(formula)
bands <- function(formule) {
bds <- stringr::str_extract_all(formule, "B[0-9]{1,2}")
unique(bds[[1]]) %>%
paste(collapse = ",")
}
bands_v <- Vectorize(bands)
# indices selectionnes avec forumle pour gdalcubes
indices_sel <- indices_db %>%
dplyr::filter(name %in% str_sub(tile, 1, stringr::str_locate(pattern = "_", tile)[1] - 1)) %>%
dplyr::mutate(
formule = as.character(formula_v(s2_formula, a = a, b = b, c = c, d = d)),
bands = as.character(bands_v(formule))
)
# on optimise avec le nombre de coeur du PC
gdalcubes::gdalcubes_set_threads(parallel::detectCores() - 1)
# On recherche les fichiers à importer dans le cube
files <- list.files(file.path(path_data, "data"),
recursive = TRUE,
full.names = TRUE,
pattern = ".zip"
)
# on cherche le fichier tile
files_list <- files[basename(tools::file_path_sans_ext(files)) %in% str_sub(tile, stringr::str_locate(pattern = "_", tile)[1] + 1)]
# On cree la collection des images, on la sauvegarde
indices_col <- gdalcubes::create_image_collection(files_list,
collection,
unroll_archives = TRUE
)
# Creation de la vue jour EPSG 2154
# vue jour a 100m de resolution
vued <- gdalcubes::cube_view(
srs = "EPSG:2154",
extent = indices_col,
nx = 250, # nombre de pixel en x
ny = 250, # nombre de pixel en y
dt = "P1D", # time a 1 jour selon norme ISO8601
keep.asp = TRUE
)
if (progress_bar) {
i18n <- Translator$new(translation_json_path = "./inst/translations/translation.json")
i18n$set_translation_language("fr")
# Add a progress bar while importing
withProgress(message = i18n$t("Loading preview..."), value = 0, {
setProgress(value = 0.1)
# calcul preview at 100m de resolution
s_indices_preview <- tryCatch(gdalcubes::raster_cube(indices_col, vued) %>%
gdalcubes::select_bands(unique(strsplit(paste(indices_sel$bands, collapse = ","), ",")[[1]])) %>%
gdalcubes::apply_pixel(indices_sel$formule, names = indices_sel$name) %>%
plot(zlim = c(-1, 1), bands = 1, axes = FALSE, col = viridis::viridis),
error = function(e) print(i18n$t("Input cube has no band!"))
)
setProgress(value = 1)
}) # end with progress
} else {
# calcul preview at 100m de resolution
s_indices_preview <- tryCatch(gdalcubes::raster_cube(indices_col, vued) %>%
gdalcubes::select_bands(unique(strsplit(paste(indices_sel$bands, collapse = ","), ",")[[1]])) %>%
gdalcubes::apply_pixel(indices_sel$formule, names = indices_sel$name) %>%
plot(zlim = c(-1, 1), bands = 1, axes = FALSE, col = viridis::viridis),
error = function(e) print("Input cube has no band!")
)
}
} # end if
}
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