Multi-Mission Algorithm and Analysis Platform (MAAP)
The Multi-Mission Algorithm and Analysis Platform (MAAP) is a collaborative project between NASA and the European Space Agency (ESA), designed to support aboveground biomass research. MAAP brings together relevant data, algorithms, and computing capabilities in a common cloud 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
Data from NASA and ESA missions such as the African Synthetic Aperture Radar (AfriSAR) and Global Ecosystem Dynamics Investigation (GEDI) are serving as the initial test set for MAAP. Future missions such as ESA's Biomass, and NASA/Indian Space Research Organisation's SAR (NISAR) will gather unprecedented data about Earth but will also generate exponentially higher data volumes than any currently operating Earth observation mission. These missions present data storage, processing, and sharing challenges because of the quantity and 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, ground/field 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, 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 is being developed as 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.
Metadata is collected and published to the Common Metadata Repository (CMR) via the Metadata Management Tool (MMT). 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.
The MAAP Pilot was delivered in 2019 and demonstrated collaboration and basic capabilities, focusing on biomass-relevant airborne and field campaign data. MAAP Version 1.0 is currently under construction with a limited but expanding number of user working group members and beta testers. In the first version, initial GEDI data is already available and support for future NISAR and BIOMASS mission data is underway. MAAP will become fully operational and open to the public in 2021.
Page Last Updated: Oct 28, 2021 at 2:08 PM EDT