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UID:pretalx-foss4g-2022-EBYEUP@talks.staging.osgeo.org
DTSTART;TZID=CET:20220825T153500
DTEND;TZID=CET:20220825T154000
DESCRIPTION:The scientific community is faced with a need for greatly impro
 ved data sharing\, analysis\, visualization and advanced collaboration bas
 ed 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 re
 lated ecological processes\, provided the immediate rational for the ESA-N
 ASA Multi-mission Algorithm and Analysis Platform (MAAP). \n\nThis highly 
 collaborative joint project of ESA and NASA established a framework betwee
 n ESA and NASA to share data\, science algorithms and compute resources in
  order to foster and accelerate scientific research conducted by ESA and N
 ASA EO data users. Presented to the public in October 2021\, the current v
 ersion of MAAP provides a common cloud-based platform with computing capab
 ilities co-located with the data\, a collaborative coding and analysis env
 ironment\, and a set of interoperable tools and algorithms developed to su
 pport the estimation and visualization of global above-ground biomass. \n\
 nData from the Global Ecosystem Dynamics Investigation (GEDI) mission on t
 he International Space Station and the Ice\, Cloud\, and Land Elevation Sa
 tellite-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. Whi
 le 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 NI
 SAR mission alone will produce about 80TB/day. These large data volumes pr
 esent a challenge that would otherwise place accessibility limits on the s
 cientific community and impact scientific progress. \n\nOther challenges b
 eing addressed by MAAP include: 1) Enabling researchers to easily discover
 \, process\, visualize and analyze large volumes of data from both agencie
 s\; 2) Providing a wide variety of data in the same coordinate reference f
 rame to enable comparison\, analysis\, data evaluation\, and data generati
 on\; 3) Providing a version-controlled science algorithm development envir
 onment that supports tools\, co-located data and processing resources\; an
 d 4) Addressing intellectual property and sharing challenges related to co
 llaborative algorithm development and sharing of data and algorithms.\n\nM
 AAP products can be explored on the MAAP Dashboard at https://earthdata.na
 sa.gov/maap-biomass or the joint platform entrance at scimaap.net. MAAP al
 so can be accessed through individual NASA (https://maap-project.org) and 
 ESA (https://esa-maap.org/) landing pages.
DTSTAMP:20260404T165255Z
LOCATION:Room Limonaia
SUMMARY:Joint ESA-NASA Multi-Mission Algorithm and Analysis Platform (MAAP)
  - Gerald "Stinger" Guala\, Clément Albinet
URL:https://talks.staging.osgeo.org/foss4g-2022/talk/EBYEUP/
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