Creates a task to export a FeatureCollection to an EE table asset.
Creates a task to export a FeatureCollection to an EE table asset. This function is a wrapper around ee$batch$Export$table$toAsset(...)
.
ee_table_to_asset( collection, description = "myExportTableTask", assetId = NULL, overwrite = FALSE )
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.An unstarted Task that exports the table to Earth Engine Asset.
## 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)
Other vector export task creator: ee_table_to_drive()
, ee_table_to_gcs()
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