R client package for working with openEO backends
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openEO client in R


This R package contains functions and classes that allow interactions with openEO backend server. The package will be under constant development. The master branch should always contain a version that is ready to use. In the future we will start to use tagged releases, when we reach a sufficient number of implemented features.


Install the package by using install_github from the devtools package.

if (!require(devtools)) {

If you want use a different version, then use for the parameter ref either "master", "develop" or another version specified under releases.

Getting Started

After loading the package, you need to connect to the openeo backend you want to use. The object that is returned by the connect function is essential for the interaction with this particular backend. For example you can explore offered data and processes and explore their detailed information. An important part of the openEO infrastructure is the creation of process graphs that are executed on the openEO backends. Process graphs are created in a bottom up principal using the magrittr pipes %>%. Starting with the data (collection) we use multiple processes that are provided by this backend to form a process chain. You can use this technique if you are already familiar with the choosen backend. As an alternative you can use the Process Graph Builder pgb() see Wiki: Process Graph Building.

After we defined the process graph, we send it as a task to the backend where it is processed. It can be processed immediately (the client is holding the connection and waits for the results), directly asynchronous (the client sends the task and queues the process execution and the results are stored in the user workspace on the backend, meanwhile the client receives an acceptance notification).

conn = connect(host="http://openeo.backend1.org/api/v0",user="test",password="test")

# list collection and processes
conn %>% listCollections()
conn %>% listProcesses()

# get detailed descriptions
conn %>% describeProduct(c("sentinel2","landsat7"))
conn %>% describeProcess("filter_daterange")

# create a process graph / task
task = collection("sentinel2") 
          %>% process("filter_daterange",from = "2017-07-21",to = "2017-07-28") 
          %>% process("filter_bbox", left=7.5, right= 8.5, bottom=51.0, top=52.0, crs="EPSG:4326") 
          %>% defineUDF(con = conn,
                  language = "R",
                  type = "apply_scene",
                  content = file.path("C:/files/atmo_corr.R"),
                  target = "udfs/atmospherical_correction.R")
job_id = conn %>% defineJob(task)
conn %>% downloadJob(job_id)

Notes: if you are running the openeo-r-backend as backend solution for testing, then please use the optional parameter rbackend=TRUE, when calling connect. The current openeo-r-backend differs from the strict openeo API in terms of some trailing slashes "/". This is adressed when setting rbackend=TRUE. Alternatively set conn$is_rserver = TRUE after connect.

Additional Examples

If you are interested, you can have a look at some example scripts that were used during the Proof-of-Concept under examples to get a feeling, how to use the package.