Համահեղինակ(ներ):

Muradyan Vahagn ; Tepanosyan Garegin ; Hovsepyan Azatuhi ; Saghatelyan Armen ; Astsatryan Hrachya ; Grigoryan Hayk ; Abrahamyan Rita ; Guigoz Yaniss ; Giuliani Gregory

Ամփոփում:

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.

Հրատարակման ամսաթիվ:

09.08.2019

Նույնականացուցիչ:

oai:noad.sci.am:136191

DOI:

10.3390/data4030117

Լեզու:

English

Ամսագրի կամ հրապարակման վերնագիր:

Earth Observation Data Cubes

Հատոր:

4

Համար:

3

URL:

սեղմել այստեղ՝ կապին հետևելու համար

Կազմակերպության անվանում:

GIS and Remote Sensing Department, Center for Ecological-Noosphere Studies NAS RA ; Institute for Informatics and Automation Problems of NAS RA ; Institute for Environmental Sciences, University of Geneva ; United Nations Environment Programme/Global Resource Information Database (UNEP/GRID-Geneva)

Ինդեքսավորում:

WOS