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OpenEO: get data

Source: R/openeo_get-data.R
openeo_get_data.Rd

OpenEO: get data

Usage

openeo_get_data(
  lakes,
  collection_id = "SENTINEL2_L2A",
  date_start = "2017-01-01",
  date_end = "2023-12-31",
  point_on_surface = FALSE,
  spatial_fun = "mean",
  bands = NULL,
  output_format = "CSV",
  col_lakename = "SEE_NAME",
  col_lakeid = "SEE_KZ",
  start_job = FALSE
)

Arguments

lakes

sf object with lake(s) to get data for

collection_id

collection id used by OpenEO (default: "SENTINEL2_L2A")

date_start

date start (default: "2017-01-01")

date_end

date end (default: "2023-12-31")

point_on_surface

(default: "FALSE)

spatial_fun

function for spatial aggregation (default: "mean"). If NULL, raw data are returned in "netCDF" format

bands

(default: NULL). Be aware that naming differs compared to Google Earth Engine (e.g. B01 -> openEO, B1 -> GEE)

output_format

default: JSON, in case spatially unaggregated data (i.e. spatial_fun == NULL) are returned, it is outmatically set to "netCDF"

col_lakename

col_lakename ("GEWNAME", used by Berlin authority for surface water bodies) use "SEE_NAME" for Brandenburg lakes (default: "SEE_NAME")

col_lakeid

("GEWRNEU", used by Berlin authority for surface water bodies) use "SEE_KZ" for Brandenburg lakes (default: "SEE_KZ")

start_job

should job be started (default: FALSE)

Value

list with job object with job id for processing results data or starting job afterwards and metadata for selected bands

Examples

if (FALSE) {
openeo_con <- openeo::connect(host = "https://openeo.dataspace.copernicus.eu")
openeo::login(openeo_con)
test_001002 <- openeo_get_data(lakes = lakes_bb_selected[1:2,])
test_001010 <- lapply(11:13, function(i) openeo_get_data(lakes = lakes_bb_selected[i,]))
}