1. Earth Science Data Systems (ESDS) Program
  2. Multi-Mission Algorithm and Analysis Platform (MAAP)

Multi-Mission Algorithm and Analysis Platform (MAAP)

Logo for Multi-Mission Algorithm and Analysis Platform (MAAP)

About MAAP

The Multi-Mission Algorithm and Analysis Platform (MAAP) a collaborative project between NASA and ESA, designed to support aboveground biomass research. MAAP will bring together relevant data, algorithms, and computing capabilities in a common environment in order to address the challenges of sharing and processing data from field, airborne, and satellite measurements related to ESA and NASA missions.

Challenge and Solution

New missions such as NASA’s GEDI, ESA’s BIOMASS, and NASA/ISRO’s NISAR will generate data at volumes that are exponentially higher than any currently operating Earth observation mission. These missions present data storage, processing, and sharing challenges not only because of the quantity of data but also due to the heterogeneous nature of the data, which are collected from satellites, aircraft, and ground stations at various resolutions, coverages, and processing levels. These challenges present the scientific community with a unique and immediate need for improved data sharing and collaboration.

MAAP is addressing these community needs by:

  • Enabling researchers to easily discover, process, visualize and analyze large volumes of data from ESA and NASA missions and validation/calibration activities.
  • Harmonizing satellite, airborne, and ground/field data to enable comparison, analysis, data evaluation, and data generation.
  • Developing tools for repeatable and shareable science with a version-controlled science algorithm development environment that supports tools, which are co-located with data and processing resources.
  • Continuing and reinforcing ESA’s and NASA’s commitment to open data (satellite, airborne and ground).
  • Developing open source software in the open from project inception.

Collaboration and Interoperability

In order to make biomass relevant data more discoverable and usable, NASA and ESA are working together to make data and metadata more interoperable across organizations. The MAAP platform will be a virtual open and collaborative environment, leveraging cloud technologies to facilitate open data use across aggregated data sets.

Interoperability requires a new approach to data stewardship. The MAAP data team has explored new methods of metadata curation to meet the needs of the Earth observation research community. The data publication workflow enables traditional data publication and data aggregation activities such as organizing and storing data and developing metadata, then makes that data discoverable to users in a centralized, cloud-based location. The MAAP data team has also developed tools to support data stewardship, creating a process that is flexible, collaborative, and adaptive to support more effective data discovery and use.

The platform and the data stewardship approach are designed to lower barriers to data use and enable interactions among researchers, data providers, data curators, scientific subject matter experts, and technologists from both NASA and ESA.

In accordance with NASA’s open data policy, all data, services, and software must be freely and openly available to research and applications communities, private industry, academia, and the general public.


MAAP is currently in Pilot Phase through Summer 2020, where it is being tested by a limited number of user working group members and beta testers. The Pilot phase will demonstrate collaboration and basic capabilities and will focus on making relevant airborne and field campaign data available for use.

Full phase development will begin in early 2020 and will focus on making data from the NISAR, GEDI, and BIOMASS missions available. MAAP will become fully operational and open to the public in 2021.

Additional Resources

MAAP Project site

A Joint ESA-NASA Multi-mission Algorithm and Analysis Platform (MAAP) for Biomass, NISAR, and GEDI

Page Last Updated: Jan 27, 2020 at 3:20 PM EST