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Paving the Way towards an Armenian Data Cube

Author

Listed:
  • Shushanik Asmaryan

    (GIS and Remote Sensing Department, Center for Ecological-Noosphere Studies NAS RA, Yerevan 0025, Armenia)

  • Vahagn Muradyan

    (GIS and Remote Sensing Department, Center for Ecological-Noosphere Studies NAS RA, Yerevan 0025, Armenia)

  • Garegin Tepanosyan

    (GIS and Remote Sensing Department, Center for Ecological-Noosphere Studies NAS RA, Yerevan 0025, Armenia)

  • Azatuhi Hovsepyan

    (GIS and Remote Sensing Department, Center for Ecological-Noosphere Studies NAS RA, Yerevan 0025, Armenia)

  • Armen Saghatelyan

    (GIS and Remote Sensing Department, Center for Ecological-Noosphere Studies NAS RA, Yerevan 0025, Armenia)

  • Hrachya Astsatryan

    (Institute of Informatics and Automation Problems NAS RA, Yerevan 0014, Armenia)

  • Hayk Grigoryan

    (Institute of Informatics and Automation Problems NAS RA, Yerevan 0014, Armenia)

  • Rita Abrahamyan

    (Institute of Informatics and Automation Problems NAS RA, Yerevan 0014, Armenia)

  • Yaniss Guigoz

    (Institute for Environmental Sciences, University of Geneva, 1205 Geneva, Switzerland
    United Nations Environment Programme/Global Resource Information Database (UNEP/GRID-Geneva), 1219 Geneva, Châtelaine, Switzerland)

  • Gregory Giuliani

    (Institute for Environmental Sciences, University of Geneva, 1205 Geneva, Switzerland
    United Nations Environment Programme/Global Resource Information Database (UNEP/GRID-Geneva), 1219 Geneva, Châtelaine, Switzerland)

Abstract

Environmental issues become an increasing global concern because of the continuous pressure on natural resources. Earth observations (EO), which include both satellite/UAV and in-situ data, can provide robust monitoring for various environmental concerns. The realization of the full information potential of EO data requires innovative tools to minimize the time and scientific knowledge needed to access, prepare and analyze a large volume of data. EO Data Cube (DC) is a new paradigm aiming to realize it. The article presents the Swiss-Armenian joint initiative on the deployment of an Armenian DC, which is anchored on the best practices of the Swiss model. The Armenian DC is a complete and up-to-date archive of EO data (e.g., Landsat 5, 7, 8, Sentinel-2) by benefiting from Switzerland’s expertise in implementing the Swiss DC. The use-case of confirm delineation of Lake Sevan using McFeeters band ratio algorithm is discussed. The validation shows that the results are sufficiently reliable. The transfer of the necessary knowledge from Switzerland to Armenia for developing and implementing the first version of an Armenian DC should be considered as a first step of a permanent collaboration for paving the way towards continuous remote environmental monitoring in Armenia.

Suggested Citation

  • Shushanik Asmaryan & Vahagn Muradyan & Garegin Tepanosyan & Azatuhi Hovsepyan & Armen Saghatelyan & Hrachya Astsatryan & Hayk Grigoryan & Rita Abrahamyan & Yaniss Guigoz & Gregory Giuliani, 2019. "Paving the Way towards an Armenian Data Cube," Data, MDPI, vol. 4(3), pages 1-10, August.
    • Handle: RePEc:gam:jdataj:v:4:y:2019:i:3:p:117-:d:254176
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    References listed on IDEAS

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    1. Anthony Lehmann & Rebecca Chaplin-Kramer & Martin Lacayo & Grégory Giuliani & David Thau & Kevin Koy & Grace Goldberg & Richard Sharp Jr., 2017. "Lifting the Information Barriers to Address Sustainability Challenges with Data from Physical Geography and Earth Observation," Sustainability, MDPI, vol. 9(5), pages 1-15, May.
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    Cited by:

    1. Gregory Giuliani & Gilberto Camara & Brian Killough & Stuart Minchin, 2019. "Earth Observation Open Science: Enhancing Reproducible Science Using Data Cubes," Data, MDPI, vol. 4(4), pages 1-6, November.
    2. Gregory Giuliani & Elvire Egger & Julie Italiano & Charlotte Poussin & Jean-Philippe Richard & Bruno Chatenoux, 2020. "Essential Variables for Environmental Monitoring: What Are the Possible Contributions of Earth Observation Data Cubes?," Data, MDPI, vol. 5(4), pages 1-25, October.

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