Skip to contents

Export an Earth Engine Image to Google Drive

export_drive.Rd

Initiates a task to export an ee.Image to the user's Google Drive.

Usage

export_drive(
  image,
  region,
  scale,
  crs = "EPSG:4326",
  description = "gee_export",
  folder = "GEE_Exports",
  fileNamePrefix = description
)

Arguments

image

The `ee.Image` to export.

region

The `ee.Geometry` or `ee.Feature` defining the export region.

scale

The spatial resolution in meters.

crs

The coordinate reference system as an EPSG string (e.g., 'EPSG:4326').

description

A description for the export task. This will also be the default filename.

folder

The folder in your Google Drive to save the export to.

fileNamePrefix

The prefix for the exported file name.

Examples

if (FALSE) { # \dontrun{
# Initialize GEE
py_env_path <- "C:/Users/pulak/anaconda3/envs/maps/python.exe"
activate_rpygee(project_id = "spatialgeography", python_path = py_env_path)

# Define a Region of Interest using the Delhi asset
roi <- rgee::ee$FeatureCollection("projects/spatialgeography/assets/delhi")$geometry()

# --- Example 1: SRTM Digital Elevation Model ---
srtm <- rgee::ee$Image("CGIAR/SRTM90_V4")

export_drive(
  image = srtm,
  region = roi,
  scale = 90,
  description = "SRTM_Delhi_Export",
  folder = "GEE_Exports"
)

# --- Example 2: Sentinel-2 Multispectral Image ---
s2 <- rgee::ee$ImageCollection("COPERNICUS/S2_SR")$
  filterBounds(roi)$
  filterDate("2023-01-01", "2023-01-31")$
  first()

# Export specific bands (e.g., Red, Green, Blue, NIR)
s2_subset <- s2$select(c("B4", "B3", "B2", "B8"))

export_drive(
  image = s2_subset,
  region = roi,
  scale = 10,
  description = "Sentinel2_Demo_Export",
  folder = "GEE_Exports"
)
} # }