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Joint ESA-NASA Multi-Mission Algorithm and Analysis Platform (MAAP) The scientific community is faced with a need for greatly improved data sharing, analysis, visualization and advanced collaboration based firmly on open science principles. Recent and upcoming launches of new satellite missions with more complex and voluminous data, as well as the ever more urgent need to better understand the global carbon budget and related ecological processes, provided the immediate rational for the ESA-NASA Multi-mission Algorithm and Analysis Platform (MAAP).

This highly collaborative joint project of ESA and NASA established a framework between ESA and NASA to share data, science algorithms and compute resources in order to foster and accelerate scientific research conducted by ESA and NASA EO data users. Presented to the public in October 2021, the current version of MAAP provides a common cloud-based platform with computing capabilities co-located with the data, a collaborative coding and analysis environment, and a set of interoperable tools and algorithms developed to support the estimation and visualization of global above-ground biomass.

Data from the Global Ecosystem Dynamics Investigation (GEDI) mission on the International Space Station and the Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2) have been instrumental in the first products of MAAP including the first comprehensive map of Boreal above-ground Biomass and a current Global Biomass Harmonization Activity, but the platform is also being specifically designed to support the forthcoming ESA Biomass mission and incorporate data from the upcoming NASA-ISRO SAR (NISAR) mission. While these missions and the corresponding research which includes airborne, field, and calibration/validation data collection and analyses, provide a wealth of data and information relating to global biomass estimation, they also present data storing, processing and sharing challenges. The NISAR mission alone will produce about 80TB/day. These large data volumes present a challenge that would otherwise place accessibility limits on the scientific community and impact scientific progress.

Other challenges being addressed by MAAP include: 1) Enabling researchers to easily discover, process, visualize and analyze large volumes of data from both agencies; 2) Providing a wide variety of data in the same coordinate reference frame to enable comparison, analysis, data evaluation, and data generation; 3) Providing a version-controlled science algorithm development environment that supports tools, co-located data and processing resources; and 4) Addressing intellectual property and sharing challenges related to collaborative algorithm development and sharing of data and algorithms.

MAAP products can be explored on the MAAP Dashboard at https://earthdata.nasa.gov/maap-biomass or the joint platform entrance at scimaap.net. MAAP also can be accessed through individual NASA (https://maap-project.org) and ESA (https://esa-maap.org/) landing pages.
Document ID
20220012351
Acquisition Source
Headquarters
Document Type
Presentation
Authors
Gerald Guala
(Federal Government Detailee)
Clément Albinet
(European Space Research Institute Frascati, Italy)
Björn Frommknecht
(European Space Research Institute Frascati, Italy)
Kevin J. Murphy
(National Aeronautics and Space Administration Washington D.C., District of Columbia, United States)
Henri Laur
(European Space Research Institute Frascati, Italy)
Aimee Barciauskas
(New Rights Group Inc)
George W. Chang
(Jet Propulsion Lab La Cañada Flintridge, California, United States)
Hook Hua
(Jet Propulsion Lab La Cañada Flintridge, California, United States)
Laura Innice Duncanson
(University of Maryland, College Park College Park, Maryland, United States)
Kaylin Bugbee
(University of Alabama in Huntsville Huntsville, Alabama, United States)
Marco Lavalle
(Jet Propulsion Lab La Cañada Flintridge, California, United States)
Sharon E Ray
(Jet Propulsion Lab La Cañada Flintridge, California, United States)
Date Acquired
August 9, 2022
Subject Category
Computer Programming And Software
Meeting Information
Meeting: FOSS4G Annual Meeting
Location: Firenze
Country: IT
Start Date: August 22, 2022
End Date: August 28, 2022
Sponsors: European Commission, European Space Agency
Funding Number(s)
TASK: JPL Task Plan No. 88-700087
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
Technical Review
External Peer Committee
Keywords
cloud computing
open science
biomass