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ee_print.R
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ee_print.R
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#' Print and return metadata about Spatial Earth Engine Objects
#'
#' Print and return metadata about Spatial Earth Engine Objects.
#' \code{ee_print} can retrieve information about the number of images
#' or features, number of bands or geometries, number of pixels, geotransform,
#' data type, properties, and object size.
#'
#' @param eeobject Earth Engine Object. Available for: Geometry, Feature,
#' FeatureCollection, Image or ImageCollection.
#' @param img_index Numeric. Index of the \code{ee$ImageCollection} to fetch.
#' Relevant just for \code{ee$ImageCollection} objects.
#' @param f_index Numeric. Index of the \code{ee$FeatureCollection} to fetch.
#' Relevant just for \code{ee$FeatureCollection} objects.
#' @param time_end Logical. If TRUE, the system:time_end property in ee$Image
#' is also returned. See \code{rgee::ee_get_date_img} for details.
#' @param img_band Character. Band name of the \code{ee$Image} to fetch.
#' Relevant just for \code{ee$ImageCollection} and \code{ee$Image} objects.
#' @param compression_ratio Numeric. Measurement of the relative data size
#' reduction produced by a data compression algorithm (ignored if \code{eeobject}
#' is not an \code{ee$Image} or \code{ee$ImageCollection}). By default is 20.
#' @param clean Logical. If TRUE, the cache will be cleaned.
#' @param quiet Logical. Suppress info message
#' @param ... ignored
#'
#' @importFrom crayon bold blue
#' @importFrom cli rule
#'
#' @family helper functions
#'
#' @return A list with the metadata of the Earth Engine object.
#'
#' @examples
#' \dontrun{
#' library(rgee)
#' ee_Initialize()
#'
#' # Geometry
#' geom <- ee$Geometry$Rectangle(-10,-10,10,10)
#' Map$addLayer(geom)
#' ee_print(geom)
#'
#' # Feature
#' feature <- ee$Feature(geom, list(rgee = "ee_print", data = TRUE))
#' ee_print(feature)
#'
#' # FeatureCollection
#' featurecollection <- ee$FeatureCollection(feature)
#' ee_print(featurecollection)
#'
#' # Image
#' srtm <- ee$Image("CGIAR/SRTM90_V4")
#' ee_print(srtm)
#'
#' srtm_clip <- ee$Image("CGIAR/SRTM90_V4")$clip(geom)
#' srtm_metadata <- ee_print(srtm_clip)
#' srtm_metadata$img_bands_names
#'
#' # ImageCollection
#' object <- ee$ImageCollection("LANDSAT/LC08/C01/T1_TOA")$
#' filter(ee$Filter()$eq("WRS_PATH", 44))$
#' filter(ee$Filter()$eq("WRS_ROW", 34))$
#' filterDate("2014-03-01", "2014-08-01")$
#' aside(ee_print)
#' }
#' @export
ee_print <- function(eeobject, ...) {
ee_check_packages("ee_install", c("digest", "sf"))
UseMethod("ee_print")
}
#' @name ee_print
#' @export
ee_print.ee.geometry.Geometry <- function(eeobject,
...,
clean = FALSE,
quiet = FALSE) {
# 1. Search if Geometry metadata exist in the /tempdir
past_eeobject <- NULL
metadata_file <- sprintf("%s/%s", tempdir(), ee_hash(eeobject))
if (file.exists(metadata_file) && !clean) {
suppressWarnings(
try(load(metadata_file), silent = TRUE)
)
}
if (!identical(past_eeobject, ee_hash(eeobject))) {
# 2. Feature metadata
geometry <- ee$Geometry$getInfo(eeobject)
# 3. Geometry metadata
geom_type <- toupper(geometry[["type"]])
geom_info <- eeobject %>%
ee$Geometry$projection() %>%
ee$Projection$getInfo()
geom_wkt <- eeobject %>%
ee$Geometry$projection() %>%
ee$Projection$wkt() %>%
ee$String$getInfo() %>%
sf::st_crs()
geom_geodesic <- suppressWarnings(
{
eeobject %>%
ee$Geometry$geodesic() %>%
ee$ComputedObject$getInfo() %>%
ee_utils_py_to_r()
}
)
geom_crs_name <- sprintf("%s (%s)",geom_wkt$Name, geom_info$crs)
geom_proj4string <- geom_wkt$proj4string
geom_geotransform <- paste0(geom_info$transform, collapse = " ")
ee_metadata <- list(
name = "Geometry",
geom_type = geom_type,
geom_crs_name = geom_crs_name,
geom_geodesic = geom_geodesic,
geom_geotransform = geom_geotransform,
geom_proj4string = geom_proj4string
)
# 4. Save ee_metadata in /tmpdir
past_eeobject <- ee_hash(eeobject)
suppressWarnings(
try(save(ee_metadata, past_eeobject, file = metadata_file), silent = TRUE)
)
}
if (!quiet) {
# 7. Display Results
cat(rule(right = bold(paste0("Earth Engine Geometry"))))
cat(blue$bold("\nGeometry Metadata:"))
cat("\n - CRS :", ee_metadata$geom_crs_name)
cat("\n - proj4string :", ee_metadata$geom_proj4string)
cat("\n - Geotransform :", ee_metadata$geom_geotransform)
cat("\n - Geodesic :", ee_metadata$geom_geodesic)
cat("\n - Geo Type :", ee_metadata$geom_type)
cat("\n", rule())
}
invisible(ee_metadata)
}
#' @name ee_print
#' @export
ee_print.ee.feature.Feature <- function(eeobject,
...,
clean = FALSE,
quiet = FALSE) {
# 1. Search if FeatureCollection metadata exist in the /tempdir
past_eeobject <- NULL
metadata_file <- sprintf("%s/%s", tempdir(), ee_hash(eeobject))
if (file.exists(metadata_file) && !clean) {
suppressWarnings(
try(load(metadata_file), silent = TRUE)
)
}
if (!identical(past_eeobject, ee_hash(eeobject))) {
# 2. Feature metadata
feature_info <- ee$Feature$getInfo(eeobject)
f_properties_names <- names(feature_info$properties)
f_properties_length <- length(names(feature_info$properties))
# 3. Geometry metadata
geom_type <- toupper(feature_info$geometry$type)
geom_info <- eeobject %>%
ee$Feature$geometry() %>%
ee$Geometry$projection() %>%
ee$Projection$getInfo()
geom_wkt <- eeobject %>%
ee$Feature$geometry() %>%
ee$Geometry$projection() %>%
ee$Projection$wkt() %>%
ee$String$getInfo() %>%
sf::st_crs()
geom_geodesic <- suppressWarnings(
{
eeobject %>%
ee$Feature$geometry() %>%
ee$Geometry$geodesic() %>%
ee$ComputedObject$getInfo() %>%
ee_utils_py_to_r()
}
)
geom_crs_name <- sprintf("%s (%s)",geom_wkt$Name, geom_info$crs)
geom_proj4string <- geom_wkt$proj4string
geom_geotransform <- paste0(geom_info$transform, collapse = " ")
ee_metadata <- list(
name = "Feature",
f_properties_names = f_properties_names,
f_properties_length = f_properties_length,
geom_type = geom_type,
geom_geodesic = geom_geodesic,
geom_crs_name = geom_crs_name,
geom_geotransform = geom_geotransform,
geom_proj4string = geom_proj4string
)
# 4. Save ee_metadata in /tmpdir
past_eeobject <- ee_hash(eeobject)
suppressWarnings(
try(save(ee_metadata, past_eeobject, file = metadata_file), silent = TRUE)
)
}
if (!quiet) {
# 7. Display Results
cat(rule(right = bold(paste0("Earth Engine Feature"))))
cat(blue$bold("\nFeature Metadata:"))
cat("\n - Number of Properties :", ee_metadata$f_properties_length)
cat(blue$bold("\nGeometry Metadata:"))
cat("\n - CRS :", ee_metadata$geom_crs_name)
cat("\n - proj4string :", ee_metadata$geom_proj4string)
cat("\n - Geotransform :", ee_metadata$geom_geotransform)
cat("\n - Geodesic :", ee_metadata$geom_geodesic)
cat("\n - Geo Type :", ee_metadata$geom_type)
cat("\n", rule())
}
invisible(ee_metadata)
}
#' @name ee_print
#' @export
ee_print.ee.featurecollection.FeatureCollection <- function(eeobject,
...,
f_index = 0,
clean = FALSE,
quiet = FALSE) {
# 1. Search if FeatureCollection metadata exist in the /tempdir
past_eeobject <- NULL
metadata_file <- sprintf("%s/%s", tempdir(), ee_hash(eeobject, f_index))
if (file.exists(metadata_file) && !clean) {
suppressWarnings(
try(load(metadata_file), silent = TRUE)
)
}
if (!identical(past_eeobject, ee_hash(eeobject, f_index))) {
# 2. Select a specific EE Feature by EE FC index.
feature <- eeobject %>%
ee$FeatureCollection$toList(f_index + 1, f_index) %>%
ee$List$get(0) %>%
ee$Feature()
# 3. FeatureCollection metadata
fc_properties_names <- eeobject %>%
ee$FeatureCollection$propertyNames() %>%
ee$List$getInfo()
fc_properties_length <- length(fc_properties_names)
fc_n_features <- eeobject %>%
ee$FeatureCollection$size() %>%
ee$Number$getInfo()
# 4. Feature metadata
feature_info <- ee$Feature$getInfo(feature)
f_properties_names <- names(feature_info$properties)
f_properties_length <- length(names(feature_info$properties))
# 5. Geometry metadata
geom_type <- toupper(feature_info$geometry$type)
geom_info <- feature %>%
ee$Feature$geometry() %>%
ee$Geometry$projection() %>%
ee$String$getInfo()
geom_wkt <- feature %>%
ee$Feature$geometry() %>%
ee$Geometry$projection() %>%
ee$Projection$wkt() %>%
ee$String$getInfo() %>%
sf::st_crs()
geom_geodesic <- suppressWarnings(
{
feature %>%
ee$Feature$geometry() %>%
ee$Geometry$geodesic() %>%
ee$ComputedObject$getInfo() %>%
ee_utils_py_to_r()
}
)
geom_crs_name <- sprintf("%s (%s)",geom_wkt$Name, geom_info$crs)
geom_proj4string <- geom_wkt$proj4string
geom_geotransform <- paste0(geom_info$transform, collapse = " ")
ee_metadata <- list(
name = "FeatureCollection",
fc_feature_index = f_index,
fc_nfeatures = fc_n_features,
fc_properties_names = fc_properties_names,
fc_properties_length = fc_properties_length,
f_properties_names = f_properties_names,
f_properties_length = f_properties_length,
geom_type = geom_type,
geom_crs_name = geom_crs_name,
geom_geodesic = geom_geodesic,
geom_geotransform = geom_geotransform,
geom_proj4string = geom_proj4string
)
# 6. Save ee_metadata in /tmpdir
past_eeobject <- ee_hash(eeobject, f_index)
suppressWarnings(
try(save(ee_metadata, past_eeobject, file = metadata_file), silent = TRUE)
)
}
if (!quiet) {
# 7. Display Results
cat(rule(right = bold(paste0("Earth Engine FeatureCollection"))))
cat(blue$bold("\nFeatureCollection Metadata:"))
cat("\n - Class :", "ee$FeatureCollection")
cat("\n - Number of Features :", ee_metadata$fc_nfeatures)
cat("\n - Number of Properties :", ee_metadata$fc_properties_length)
cat(blue$bold("\nFeature Metadata:"))
cat("\n - Number of Properties :", ee_metadata$f_properties_length)
cat(blue$bold(sprintf("\nGeometry Metadata (f_index = %s):",
ee_metadata$fc_feature_index)))
cat("\n - CRS :", ee_metadata$geom_crs_name)
cat("\n - proj4string :", ee_metadata$geom_proj4string)
cat("\n - Geotransform :", ee_metadata$geom_geotransform)
cat("\n - Geodesic :", ee_metadata$geom_geodesic)
cat("\n - Geo Type :", ee_metadata$geom_type)
cat("\n", rule())
}
invisible(ee_metadata)
}
#' @name ee_print
#' @export
ee_print.ee.image.Image <- function(eeobject,
...,
img_band,
time_end = TRUE,
compression_ratio = 20,
clean = FALSE,
quiet = FALSE) {
# 1. Fetch and Return bandname about ee$Image
img_bandNames <- eeobject %>%
ee$Image$bandNames() %>%
ee$List$getInfo()
img_nband <- length(img_bandNames)
if (missing(img_band)) {
img_band <- img_bandNames[1]
}
# 1. Search if Image metadata exist in the /tempdir
past_eeobject <- NULL
eeobject_hash <- ee_hash(eeobject, img_band, compression_ratio)
metadata_file <- sprintf("%s/%s", tempdir(), eeobject_hash)
if (file.exists(metadata_file) && !clean) {
suppressWarnings(
try(load(metadata_file), silent = TRUE) # it will load the past_eeobject
)
}
if (!identical(past_eeobject, eeobject_hash)) {
# 3. Fetch and Return metadata about an EE image band
selected_img <- eeobject %>%
ee$Image$select(img_band)
band_info <- ee$Image$getInfo(selected_img)
band_properties <- band_info$properties
band_metadata <- band_info$bands[[1]]
geom_wkt <- sf::st_crs(ee_utils_get_crs(band_metadata$crs))
geom_crs_name <- sprintf("%s (%s)",geom_wkt$Name, band_metadata$crs)
geom_proj4string <- geom_wkt$proj4string
geom_geotransform <- paste0(unlist(band_metadata$crs_transform), collapse = " ")
img_id_time <- ee_get_date_img(selected_img, time_end = time_end)
band_metadata_geom <- ee_image_info(
image = selected_img,
band_metadata = band_metadata,
compression_ratio = compression_ratio,
quiet = TRUE
)
band_metadata_nominal_scale <- selected_img %>%
ee$Image$projection() %>%
ee$Projection$nominalScale() %>%
ee$Projection$getInfo()
ee_metadata <- list(
name = "Image",
img_nbands = length(img_bandNames),
img_bands_names = paste0(img_bandNames, collapse = " "),
img_pixel = band_metadata_geom$nrow * band_metadata_geom$ncol * img_nband,
img_size = band_metadata_geom$image_size * img_nband,
img_properties_names = names(band_properties),
img_properties_length = length(band_properties),
img_id = img_id_time$image_id,
img_time_start = img_id_time$time_start,
img_time_end = img_id_time$time_end,
band_name = img_band,
band_crs_name = geom_crs_name,
band_proj4string = geom_proj4string,
band_geotransform = geom_geotransform,
band_scale_x = band_metadata$crs_transform[1],
band_scale_y = band_metadata$crs_transform[5],
band_nominal_scale = band_metadata_nominal_scale,
band_dimensions = c(band_metadata_geom$nrow, band_metadata_geom$ncol),
band_datatype = toupper(band_metadata$data_type$precision),
band_pixel = band_metadata_geom$nrow * band_metadata_geom$ncol,
band_size = band_metadata_geom$image_size
)
# 4. Save ee_metadata in /tmpdir
past_eeobject <- ee_hash(eeobject, img_band, compression_ratio)
suppressWarnings(
try(save(ee_metadata, past_eeobject, file = metadata_file),silent = TRUE)
)
}
if (!quiet) {
# 5. Display Results
cat(rule(right = bold(paste0("Earth Engine Image"))))
cat(blue$bold("\nImage Metadata:"))
cat("\n - Class :", "ee$Image")
cat("\n - ID :", ee_metadata$img_id)
if (!is.null(ee_metadata$img_time_start)) {
if (!is.na(ee_metadata$img_time_start)) {
cat(
"\n - system:time_start :",
as.character(ee_metadata$img_time_start)
)
}
}
if (!is.null(ee_metadata$img_time_end)) {
if (!is.na(ee_metadata$img_time_end)) {
cat(
"\n - system:time_end :",
as.character(ee_metadata$img_time_end)
)
}
}
cat("\n - Number of Bands :", ee_metadata$img_nbands)
cat("\n - Bands names :", ee_metadata$img_bands_names)
cat("\n - Number of Properties :", ee_metadata$img_properties_length)
cat("\n - Number of Pixels* :", ee_metadata$img_pixel)
cat("\n - Approximate size* :", ee_humansize(ee_metadata$img_size))
cat(blue$bold(sprintf("\nBand Metadata (img_band = %s):",
ee_metadata$band_name)))
cat("\n - EPSG (SRID) :", ee_metadata$band_crs_name)
cat("\n - proj4string :", ee_metadata$band_proj4string)
cat("\n - Geotransform :", ee_metadata$band_geotransform)
cat("\n - Nominal scale (meters) :", ee_metadata$band_nominal_scale)
cat("\n - Dimensions :", ee_metadata$band_dimensions)
cat("\n - Number of Pixels :", ee_metadata$band_pixel)
cat("\n - Data type :", ee_metadata$band_datatype)
cat("\n - Approximate size :",
ee_humansize(ee_metadata$band_size))
cat("\n", rule())
cat(
"\n",
"NOTE: (*) Properties calculated considering a",
"constant geotransform and data type."
)
}
invisible(ee_metadata)
}
#' @name ee_print
#' @export
ee_print.ee.imagecollection.ImageCollection <- function(eeobject,
...,
time_end = TRUE,
img_index = 0,
img_band,
compression_ratio = 20,
clean = FALSE,
quiet = FALSE) {
# 1. Select a specific EE Image by EE IC index.
img <- eeobject %>%
ee$ImageCollection$toList(img_index + 1, img_index) %>%
ee$List$get(0) %>%
ee$Image()
# 2. Fetch and Return metadata about the Image
img_bandNames <- img %>%
ee$Image$bandNames() %>%
ee$List$getInfo()
if (missing(img_band)) {
img_band <- img_bandNames[1]
}
# 3. Search if Image metadata exist in the /tempdir
past_eeobject <- NULL
eeobject_hash <- ee_hash(eeobject, img_index, img_band, compression_ratio)
metadata_file <- sprintf("%s/%s", tempdir(), eeobject_hash)
## If metadata_file exist in /tempdir use it
if (file.exists(metadata_file) && !clean) {
suppressWarnings(
try(load(metadata_file), silent = TRUE)
)
}
## If the query haven't been called before, it will create the metadata
## dataset, otherwise load from /temdir
if (!identical(past_eeobject, eeobject_hash)) {
# 4. Fetch and Return ee$ImageCollection metadata
ic_properties <- eeobject %>%
ee$ImageCollection$propertyNames() %>%
ee$List$getInfo()
ic_n_properties <- length(ic_properties)
ic_n_img <- eeobject %>%
ee$ImageCollection$size() %>%
ee$Number$getInfo()
# 3. Fetch and Return ee$Image metadata
ee_mtd_img <- ee_print(
eeobject = img,
img_band = img_band,
time_end = time_end,
compression_ratio = compression_ratio,
quiet = TRUE,
clean = TRUE
)
ee_metadata <- list(
name = "ImageCollection",
ic_image_index = img_index,
ic_nimages = ic_n_img,
ic_properties_names = ic_properties,
ic_properties_length = ic_n_properties,
ic_pixel = ee_mtd_img$band_pixel * ee_mtd_img$img_nbands * ic_n_img,
ic_size = ee_mtd_img$img_size * ic_n_img,
img_nbands = length(img_bandNames),
img_bands_names = paste0(img_bandNames, collapse = " "),
img_pixel = ee_mtd_img$band_pixel * ee_mtd_img$img_nbands,
img_size = ee_mtd_img$img_size,
img_id = ee_mtd_img$img_id,
img_time_start = ee_mtd_img$img_time_start,
img_time_end = ee_mtd_img$img_time_end,
img_properties_names = ee_mtd_img$img_properties_names,
img_properties_length = ee_mtd_img$img_properties_length,
band_name = ee_mtd_img$band_name,
band_crs_name = ee_mtd_img$band_crs_name,
band_proj4string = ee_mtd_img$band_proj4string,
band_geotransform = ee_mtd_img$band_geotransform,
band_scale_x = ee_mtd_img$band_scale_x,
band_scale_y = ee_mtd_img$band_scale_y,
band_nominal_scale = ee_mtd_img$band_nominal_scale,
band_dimensions = ee_mtd_img$band_dimensions,
band_datatype = ee_mtd_img$band_datatype,
band_pixel = ee_mtd_img$band_pixel,
band_size = ee_mtd_img$band_size
)
# 4. Save ee_metadata in /tmpdir
past_eeobject <- ee_hash(eeobject, img_index, img_band, compression_ratio)
suppressWarnings(
try(save(ee_metadata, past_eeobject, file = metadata_file),silent = TRUE)
)
}
if (!quiet) {
# 5. Display Results
cat(rule(right = bold(paste0("Earth Engine ImageCollection"))))
cat(blue$bold("\nImageCollection Metadata:"))
cat("\n - Class :", "ee$ImageCollection")
cat("\n - Number of Images :", ee_metadata$ic_nimages)
cat("\n - Number of Properties :", ee_metadata$ic_properties_length)
cat("\n - Number of Pixels* :", ee_metadata$ic_pixel)
cat("\n - Approximate size* :", ee_humansize(ee_metadata$ic_size))
cat(blue$bold(sprintf("\nImage Metadata (img_index = %s):",
ee_metadata$ic_image_index)))
cat("\n - ID :", ee_metadata$img_id)
if (!is.null(ee_metadata$img_time_start)) {
if (!is.na(ee_metadata$img_time_start)) {
cat(
"\n - system:time_start :",
as.character(ee_metadata$img_time_start)
)
}
}
if (!is.null(ee_metadata$img_time_end)) {
if (!is.na(ee_metadata$img_time_end)) {
cat(
"\n - system:time_end :",
as.character(ee_metadata$img_time_end)
)
}
}
cat("\n - Number of Bands :", ee_metadata$img_nbands)
cat("\n - Bands names :", ee_metadata$img_bands_names)
cat("\n - Number of Properties :", ee_metadata$img_properties_length)
cat("\n - Number of Pixels* :", ee_metadata$img_pixel)
cat("\n - Approximate size* :", ee_humansize(ee_metadata$img_size))
cat(blue$bold(sprintf("\nBand Metadata (img_band = '%s'):",
ee_metadata$band_name)))
cat("\n - EPSG (SRID) :", ee_metadata$band_crs_name)
cat("\n - proj4string :", ee_metadata$band_proj4string)
cat("\n - Geotransform :", ee_metadata$band_geotransform)
cat("\n - Nominal scale (meters) :", ee_metadata$band_nominal_scale)
cat("\n - Dimensions :", ee_metadata$band_dimensions)
cat("\n - Number of Pixels :", ee_metadata$band_pixel)
cat("\n - Data type :", ee_metadata$band_datatype)
cat("\n - Approximate size :",
ee_humansize(ee_metadata$band_size))
cat("\n", rule())
cat(
"\n",
"NOTE: (*) Properties calculated considering a constant ",
"geotransform and data type."
)
}
invisible(ee_metadata)
}
#' Create a hash function digests for Earth Engine objects
#' @noRd
ee_hash <- function(eeobject, ...) {
gsub(
pattern = "[^0-9A-Za-z///' ]",
replacement = "_" ,
x = eeobject$serialize() ,
ignore.case = TRUE
) %>%
digest::digest(algo = "md5") %>%
paste(..., sep = "_")
}