rgee (version 0.5.0)

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
)

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.

Examples

# NOT RUN {
library(rgee)
library(stars)
library(sf)

ee_users()
ee_reattach() # reattach ee as a reserved word
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$geometry(), list(name = "Amarakaeri")))
)

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

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