Convert an ee$Image in a stars object.
ee_as_stars(
image,
region = NULL,
dsn = NULL,
via = "drive",
container = "rgee_backup",
scale = NULL,
maxPixels = 1e+09,
grid_batch = 1024 * 1024,
lazy = FALSE,
public = FALSE,
add_metadata = TRUE,
timePrefix = TRUE,
quiet = FALSE,
...
)
ee$Image to be converted into a 'stars' object.
EE Geometry (ee$Geometry$Polygon) that specifies the region
to export. CRS needs to be the same that the argument image
.
Otherwise, it will be forced. If not specified, image bounds are taken.
Character. Output filename. If missing, a temporary file is created.
Character. Method to export the image. Three methods are available: "getDownloadURL", "drive", "gcs". For "drive" and "gcs" see details. Use "getDownloadURL" for small images. Default "getDownloadURL".
Character. Name of the folder ('drive') or bucket ('gcs') to be exported.
Numeric. Image resolution given in meters per pixel. Defaults to the native resolution of the image.
Numeric. The maximum allowable number of pixels in the exported image. If the exported region covers more pixels than the specified limit in the given projection, the task will fail. Defaults to 100,000,000.
Numeric. Argument used if 'via' is set as "getDownloadURL". The number of pixels to download in each batch without considering the number of bands. Default to 1048576 -(1024*1024).
Logical. If TRUE, a
future::sequential
object is created to evaluate the task in the future.
See details.
Logical. If TRUE, a public link to the image is created.
Add metadata to the stars_proxy object. See details.
Logical. Add current date and time (Sys.time()
) as
a prefix to export files. This parameter helps to avoid exported files
with the same name. By default TRUE.
Logical. Suppress info message
Extra exporting argument. See ee_image_to_drive and ee_image_to_gcs.
A stars-proxy object
ee_as_stars
supports the download of ee$Images
by two different options: "drive"
(Google Drive) and "gcs"
(
Google Cloud Storage). In both cases, ee_as_stars
works as follow:
1. A task is started (i.e. ee$batch$Task$start()
) to
move the ee$Image
from Earth Engine to the intermediate container
specified in the argument via
.
2. If the argument lazy
is TRUE, the task will not be
monitored. This is useful to lunch several tasks simultaneously and
calls them later using ee_utils_future_value
or
future::value
. At the end of this step,
the ee$Image
is stored on the path specified in the argument
dsn
.
3. Finally, if the argument add_metadata
is TRUE, a list
with the following elements is added to the stars-proxy object.
if via is "drive":
ee_id: Name of the Earth Engine task.
drive_name: Name of the Image in Google Drive.
drive_id: Id of the Image in Google Drive.
drive_download_link: Download link to the image.
if via is "gcs":
ee_id: Name of the Earth Engine task.
gcs_name: Name of the Image in Google Cloud Storage.
gcs_bucket: Name of the bucket.
gcs_fileFormat: Format of the image.
gcs_public_link: Download link to the image.
gcs_URI: gs:// link to the image.
attr(stars, "metadata")
to get the list.For getting more information about exporting data from Earth Engine, take a look at the Google Earth Engine Guide - Export data.
Other image download functions:
ee_as_raster()
,
ee_as_rast()
,
ee_as_thumbnail()
,
ee_imagecollection_to_local()
if (FALSE) { # \dontrun{
library(rgee)
ee_Initialize(drive = TRUE, gcs = TRUE)
ee_user_info()
# Define an image.
img <- ee$Image("LANDSAT/LC08/C01/T1_SR/LC08_038029_20180810")$
select(c("B4", "B3", "B2"))$
divide(10000)
# OPTIONAL display it using Map
Map$centerObject(eeObject = img)
Map$addLayer(eeObject = img, visParams = list(max = 0.4,gamma=0.1))
# Define an area of interest.
geometry <- ee$Geometry$Rectangle(
coords = c(-110.8, 44.6, -110.6, 44.7),
proj = "EPSG:4326",
geodesic = FALSE
)
## getDownloadURL - Method 01 (for small images)
img_02 <- ee_as_stars(
image = img,
region = geometry,
scale = 10
)
## drive - Method 02
# Simple
img_02 <- ee_as_stars(
image = img,
region = geometry,
via = "drive"
)
# Lazy
img_02 <- ee_as_stars(
image = img,
region = geometry,
via = "drive",
lazy = TRUE
)
img_02_result <- img_02 %>% ee_utils_future_value()
attr(img_02_result, "metadata") # metadata
## gcs - Method 03
# Simple
img_03 <- ee_as_stars(
image = img,
region = geometry,
container = "rgee_dev",
via = "gcs"
)
# Lazy
img_03 <- ee_as_stars(
image = img,
region = geometry,
container = "rgee_dev",
lazy = TRUE,
via = "gcs"
)
img_03_result <- img_03 %>% ee_utils_future_value()
attr(img_03_result, "metadata") # metadata
# OPTIONAL: clean containers
# ee_clean_container(name = "rgee_backup", type = "drive")
# ee_clean_container(name = "rgee_dev", type = "gcs")
} # }