A Joint ESA-NASA Multi-mission Algorithm and Analysis Platform (MAAP) for Biomass, NISAR, and GEDI
| Autor: | Gabriella Costa, Rahul Ramachandran, Laura Duncanson, Amanda Whitehurst, Kevin J. Murphy, L. A. Jewell, Benhan Jai, Clement Albinet, Henri Laur, Marco Lavalle, Kaylin Bugbee, Björn Frommknecht, Klaus Scipal |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Data processing
010504 meteorology & atmospheric sciences business.industry Computer science 010502 geochemistry & geophysics 01 natural sciences Field (computer science) Above ground Geophysics Open source Software Geochemistry and Petrology Satellite Joint (building) business Dissemination Algorithm 0105 earth and related environmental sciences |
| Zdroj: | Surveys in Geophysics. 40:1017-1027 |
| ISSN: | 1573-0956 0169-3298 |
| DOI: | 10.1007/s10712-019-09541-z |
| Popis: | In order to help scientists in the above ground biomass community and to support the science behind the upcoming BIOMASS, NISAR, and GEDI satellite missions, ESA and NASA are collaborating on the Multi-Mission Algorithm and Analysis Platform (MAAP). The MAAP is a jointly developed and implemented platform that will include not only data (satellite, airborne, in situ data, and products), but also computing capabilities and sets of tools and algorithms developed to support this specific field of research. To best ensure that users are able to collaborate across the platform and to access needed resources, the MAAP requires all data, algorithms, and software to conform to open access and open source policies. In addition to aiding researchers, the MAAP exercise is establishing a collaboration framework between ESA and NASA that focuses on sharing data, science algorithms, and computable resources in order to foster and accelerate scientific research. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full text from SpringerLink