MULTIPLY is a practical, user-friendly software designed to provide scientists and non-scientists with an effective tool to generate and exploit land surface state data. It consists of a variety of interoperating open-source software packages that form the MULTIPLY platform. It is available for free as a VM for the MUNDI DIAS. With MULTIPLY you can produce surface information for regions of your own interest. You can choose the spatial and temporal resolution, display and analyse the results and even create time-series.

Based on Data Assimilation Principles, MULTIPLY combines and integrates multi-sensor data with prior information and state-of-the-art radiative transfer models to produce estimates of land surface parameters such as chlorophyll content, soil moisture or effective LAI. The data comes with quantified uncertainties and at user-defined spatial and temporal resolutions. The inferences are the result of a coherent joint interpretation of the observations from the different Sentinels as well as 3rd party missions (e.g., MODIS). If desired, post-processing steps may be applied to the inferred parameters.

MULTIPLY   aims at stimulating the use of Copernicus Sentinel and other EO Data for climate, land use and vegetation modelling, e.g., to optimise crop yields within sustainable agricultural systems. The platform’s various task-dedicated components are managed by an elaborate orchestration scheme.

MULTIPLY has components

  • to autonomously gather required input data
  • to perform atmospheric correction on optical data
  • to geometrically and radiometrically correct microwave data
  • to assimilate multi-sensor data
  • to provide appropriate prior information
  • to apply post-processing

Users may tailor platform requests to their needs, by defining spatial and temporal regions, by selecting their variables of interest, and by choosing appropriate forward models. While MULTIPLY is designed to be operated without scientific background knowledge, it can also be used for scientific research. Thanks to its implementation in the form of a framework it enables users to plug in their own forward models, prior estimates, post-processors, data stores, and to define bio-physical parameters.

The MULTIPLY platform is available on the MUNDI DIAS in the form of a VM Image. It comes with a JupyterLab based User Interface to configure and start requests and to monitor the state of processing runs. A dedicated application allows for the visual inspection of the results and their uncertainties and to view and download time-series. For interested users, Jupyter Notebooks are available to dive into the details of processing and algorithms.

More information on how to use the MULTIPLY platform can be found here.  Note that the use of cloud resources on the MUNDI DIAS is linked to costs, depending on your actual usage. The MULTIPLY software components are open-source and can be found here .

  • Conception of System Architecture incl. Plugin-Framework
  • Development of an Orchestration Scheme
  • Development of Components for Data Access
  • Development of the User Interface
  • Development of a Scheme for OLCI BRDF Retrieval including atmospheric correction

Universiteit Leiden, Ludwig-Maximilians Universität München, University College London, Tartu Observatory, Universidad de Alcala, Assimila Ltd, RSK ADAS UK Limited, Laboratoire des Sciences du Climat et de l’Environnement