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DTSTAMP:20210916T132529Z
LOCATION:Jean-Jacques Rousseau
DTSTART;TZID=Europe/Stockholm:20210705T153000
DTEND;TZID=Europe/Stockholm:20210705T173000
UID:submissions.pasc-conference.org_PASC21_sess123@linklings.com
SUMMARY:Earth Observations Data Cubes
DESCRIPTION:Minisymposium\n\nSatellite Earth Observations (EO) data have a
 lready exceeded the petabyte-scale and are increasingly freely and openly 
 available from different data holdings. This poses a number of Big Data ch
 allenges impending their full information potential to be realized. EO Dat
 a Cubes (EODC) are a new paradigm revolutionizing the way users can intera
 ct with EO data and a promising solution to store, organize, manage and an
 alyze large volumes of EO data. Different implementations are currently op
 erational and are paving the way to broaden the use of EO data to larger c
 ommunities of users; support decision-makers with timely and actionable in
 formation converted into meaningful geophysical variables; and ultimately 
 unlock the information power of EO data. This Minisymposium is aiming to c
 over the most recent advances in EODC developments from four leading count
 ries on this technology: Australia, Switzerland, Mexico and Armenia.\n\nTh
 e Swiss Data Cube: A Platform as a Service (PaaS) for Environmental Monito
 ring\n\nRodila, Giuliani\n\nThe Swiss Data Cube is the second operational 
 Data Cube in the World after Australia. It aims at unleashing the informat
 ion power of Big Earth Data for monitoring the environment, providing Anal
 ysis Ready Data over all Switzerland since 1984 and updated daily. Based o
 n an innovative analytical cloud...\n\n---------------------\nArmenian Dat
 a Cube for Sustainable Development\n\nAsmaryan, Astsatryan\n\nArmenia is a
 mong the selected countries to contribute towards shaping the global devel
 opment agenda, which is both a privilege and recognition of the country&rs
 quo;s unique perspective on development. However, the data disaggregation 
 encountered when monitoring the process of attaining several SDG t...\n\n-
 --------------------\nThe Semantic EO Data Cube for Austria and Beyond\n\n
 Sudmanns, Tiede, Augustin, van der Meer, Baraldi\n\nThe semantic EO data c
 ube combines an EO data cube with an AI-based inference engine by integrat
 ing a computer-vision approach to infer new information from EO data in an
  explainable way. Our approach uses semantic enrichment of optical EO imag
 es to obtain data-derived information, i.e., an initial ...\n\n-----------
 ----------\nThe Mexican Geospatial Data Cube for Natural Resources Mapping
 \n\nMerodio\n\nEarth Observation has demonstrated an ability to support lo
 cal and national decision making and the Sustainable Development Goals (SD
 Gs) through a number of successful country-level Open Data Cube (ODC) init
 iatives around the world. Country demand has shown that Mexico, with the s
 upport and involvem...\n\n\nDomain: Emerging Applications
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