R/ee_download.R
ee_table_to_drive.Rd
Creates a task to export a FeatureCollection to Google Drive.
This function is a wrapper around ee$batch$Export$table$toDrive(...)
.
ee_table_to_drive( collection, description = "myExportTableTask", folder = "rgee_backup", fileNamePrefix = NULL, timePrefix = TRUE, fileFormat = NULL, selectors = NULL )
collection | The feature collection to be exported. |
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description | Human-readable name of the task. |
folder | The name of a unique folder in your Drive account to export into. Defaults to the root of the drive. |
fileNamePrefix | The Google Drive filename for the export. Defaults to the name of the task. |
timePrefix | Add current date and time as a prefix to files to export. |
fileFormat | The output format: "CSV" (default), "GeoJSON", "KML", "KMZ", "SHP", or "TFRecord". |
selectors | The list of properties to include in the output, as a list of strings or a comma-separated string. By default, all properties are included. **kwargs: Holds other keyword arguments that may have been deprecated such as 'driveFolder' and 'driveFileNamePrefix'. |
An unstarted Task that exports the table to Google Drive.
Other vector export task creator:
ee_table_to_asset()
,
ee_table_to_gcs()
if (FALSE) { library(rgee) library(stars) library(sf) ee_users() ee_Initialize(drive = TRUE) # Define study area (local -> earth engine) # Communal Reserve Amarakaeri - Peru rlist <- list(xmin = -71.13, xmax = -70.95,ymin = -12.89, ymax = -12.73) ROI <- c(rlist$xmin, rlist$ymin, rlist$xmax, rlist$ymin, rlist$xmax, rlist$ymax, rlist$xmin, rlist$ymax, rlist$xmin, rlist$ymin) ee_ROI <- matrix(ROI, ncol = 2, byrow = TRUE) %>% list() %>% st_polygon() %>% st_sfc() %>% st_set_crs(4326) %>% sf_as_ee() amk_fc <- ee$FeatureCollection( list(ee$Feature(ee_ROI, list(name = "Amarakaeri"))) ) task_vector <- ee_table_to_drive( collection = amk_fc, fileFormat = "GEO_JSON", fileNamePrefix = "geom_Amarakaeri" ) task_vector$start() ee_monitoring(task_vector) # optional ee_drive_to_local(task = task_vector) }