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

In csaybar/rgee: R Bindings for Calling the 'Earth Engine' API

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
)

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.

Value

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

See Also

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

Examples

## Not run: 
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)

## End(Not run)

csaybar/rgee documentation built on March 11, 2021, 5:48 a.m.