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Paving the Way towards an Armenian Data Cube

GIS and Remote Sensing Department, Center for Ecological-Noosphere Studies NAS RA, Yerevan 0025, Armenia
Institute of Informatics and Automation Problems NAS RA, Yerevan 0014, Armenia
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
Author to whom correspondence should be addressed.
Data 2019, 4(3), 117;
Received: 14 June 2019 / Revised: 16 July 2019 / Accepted: 23 July 2019 / Published: 2 August 2019
(This article belongs to the Special Issue Earth Observation Data Cubes)
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. View Full-Text
Keywords: big earth data; sustainable development goals; swiss DC; Armenian DC; Landsat; sentinel; analysis ready data big earth data; sustainable development goals; swiss DC; Armenian DC; Landsat; sentinel; analysis ready data
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MDPI and ACS Style

Asmaryan, S.; Muradyan, V.; Tepanosyan, G.; Hovsepyan, A.; Saghatelyan, A.; Astsatryan, H.; Grigoryan, H.; Abrahamyan, R.; Guigoz, Y.; Giuliani, G. Paving the Way towards an Armenian Data Cube. Data 2019, 4, 117.

AMA Style

Asmaryan S, Muradyan V, Tepanosyan G, Hovsepyan A, Saghatelyan A, Astsatryan H, Grigoryan H, Abrahamyan R, Guigoz Y, Giuliani G. Paving the Way towards an Armenian Data Cube. Data. 2019; 4(3):117.

Chicago/Turabian Style

Asmaryan, Shushanik, Vahagn Muradyan, Garegin Tepanosyan, Azatuhi Hovsepyan, Armen Saghatelyan, Hrachya Astsatryan, Hayk Grigoryan, Rita Abrahamyan, Yaniss Guigoz, and Gregory Giuliani. 2019. "Paving the Way towards an Armenian Data Cube" Data 4, no. 3: 117.

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