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DTSTAMP:20210916T132448Z
LOCATION:Jean-Jacques Rousseau
DTSTART;TZID=Europe/Stockholm:20210705T163000
DTEND;TZID=Europe/Stockholm:20210705T170000
UID:submissions.pasc-conference.org_PASC21_sess123_msa256@linklings.com
SUMMARY:Armenian Data Cube for Sustainable Development
DESCRIPTION:Minisymposium\n\nArmenian Data Cube for Sustainable Developmen
 t\n\nAsmaryan, Astsatryan\n\nArmenia is among the selected countries to co
 ntribute towards shaping the global development agenda, which is both a pr
 ivilege and recognition of the country’s unique perspective on devel
 opment. However, the data disaggregation encountered when monitoring the p
 rocess of attaining several SDG targets triggers the revision of the role 
 of EO technologies in the environmental decision making process in the cou
 ntry. Thus, Swiss-Armenian cooperation initiated the establishment of the 
 Armenian DC (ADC) as a complete and updated archive of EO data (e.g., Land
 sat, Sentinel), benefiting from the experience of the University of Geneva
  in implementing the Swiss DC (URL: http://datacube.sci.am). ADC cont
 ains Landsat and Sentinel-2 analysis ready data over Armenia. The ADC uses
  the National e-infrastructure, a complex IT infrastructure consisting of 
 networking, data, and computational facilities.<br />The ultimate goal is 
 to develop an integrated environmental monitoring and decision making plat
 form to provide centralized EO and Environmental data processing services,
  combining ADC's opportunities with cloud computing and artificial intelli
 gence. For instance, the shoreline monitoring service of Lake Sevan relyin
 g on the NDWI spectral index. The service, accessible through the Jupyter 
 notebook, gives sufficiently reliable results.\n\nDomain: Emerging Applica
 tions
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