rgee (version 1.1.5)

ee_table_to_asset: Creates a task to export a FeatureCollection to an EE table asset.

Description

Creates a task to export a FeatureCollection to an EE table asset. This function is a wrapper around ee$batch$Export$table$toAsset(...).

Usage

ee_table_to_asset(
  collection,
  description = "myExportTableTask",
  assetId = NULL,
  overwrite = FALSE
)

Value

An unstarted Task that exports the table to Earth Engine Asset.

Arguments

collection

The feature collection to be exported.

description

Human-readable name of the task.

assetId

The destination asset ID. **kwargs: Holds other keyword arguments that may have been deprecated.

overwrite

Logical. If TRUE, the assetId will be overwritten if it exists.

See Also

Other vector export task creator: ee_table_to_drive(), ee_table_to_gcs()

Examples

if (FALSE) {
library(rgee)
library(stars)
library(sf)

ee_users()
ee_Initialize()

# 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")))
)

assetid <- paste0(ee_get_assethome(), '/geom_Amarakaeri')
task_vector <- ee_table_to_asset(
  collection = amk_fc,
  overwrite = TRUE,
  assetId = assetid
)
task_vector$start()
ee_monitoring(task_vector) # optional

ee_fc <- ee$FeatureCollection(assetid)
Map$centerObject(ee_fc)
Map$addLayer(ee_fc)
}