Downloading datacubes from OpenEO

Fri, 11 Sep 2026 00:00:00 +0000

list.of.packages <- c("tidyverse", "sf", "stars", "mapview", "lubridate", "dplyr", "rpart", "rpart.plot", "leaflet", "mapedit", "scales", "ggplot2", "rstudioapi","tidyr","zoo","np","kernlab","leafem","viridis","cubelyr","terra","signal","abind","INBOmd","INBOtheme","openeo")
new.packages <- list.of.packages[!(list.of.packages %in% installed.packages()[,"Package"])]
if(length(new.packages)) install.packages(new.packages)
library(openeo)
library(tidyverse)
library(sf)
library(stars)
library(mapview)
library(lubridate)
library(dplyr)
library(rpart)
library(rpart.plot)
library(leaflet)    # for interactive maps
library(leafem)
library(mapedit)    # for drawing polygons interactively
library(scales)
library(ggplot2)
library(rstudioapi)
library(tidyr)
library(zoo)
library(np)         # kernel regression
library(kernlab)    # Gaussian processes
library(viridis)
library(terra)
library(signal)
library(abind)
library(INBOmd)
library(INBOtheme)

This script took some inspiration from: https://www.r-bloggers.com/2022/11/processing-large-scale-satellite-imagery-with-openeo-platform-and-r/#google_vignette and is modified for learning purpose.

OpenEO

OpenEO is an open source project that tries to make large-scale, cloud-based satellite image processing easier and more open. This script shows how the openEO client can access openEO providers: (here, the Copernicus Data Space Ecosystem Federation), available from CRAN, can be used to explore datasets, compute on them, and download results.

Satellite Datasets on INBO Tutorials

Downloading datacubes from OpenEO

OpenEO