Aggregate an Earth Engine Image Collection by period — aggregate

Performs simple temporal aggregation of Earth Engine Image collections by month or year. For example, it can calculate the maximum normalized difference vegetation index (NDVI) of an area of interest for each year. Note that processing times can increase substantially with an increased number of images.

Usage

aggregate_ee(object, frequency = "month", reduce_by = NULL)

Arguments

object: object: a data object produced by collect_ee()
frequency: str, optional: either "month" or "year" are accepted
reduce_by: str, optional: summary statistic or technique to perform on aggregated data. If NULL (default), will calculate the mean per period

Value

an updated collect_ee() object that can be passed on to map_ee()

or download_ee()

Examples

if (FALSE) {
img <- collect_ee(
  collection = "LANDSAT/LC09/C02/T1_L2",
  coords = c(149.769345, -30.335861, 149.949173, -30.206271),
  date = "2021-06-01",
  end_date = "2022-06-01"
)

preprocess_ee(img, spectral = "NDVI")
aggregate_ee(img, reduce_by = "median")
}