Arshile Gorky: An Armenian in New York

Born in Armenia, the oldest Christian country in the world but nevertheless one of the youngest reinstated republics (1991) after the collapse of the Soviet Union, Arshile Gorky flew to the United States in 1920, where he chose to reinvent himself in the struggle to become an artist. This reinvention meant the creation of a persona with, or behind, which Gorky kept alive the artistic flame inside himself. Gorky became one of the most learned voices lecturing on contemporary European modernist artists and movements of the late nineteenth and early twentieth centuries in the United States (New York) without ever visiting Europe. Moreover, he was able to survive the traumatic events he underwent during the Armenian Genocide (1915-1919) to adapt to his new country and identity, to live through the years of the Depression and, eventually, to become the protagonistof a major artistic breakthrough. This paper proposes an insight into the experience of life and frame of work of this Armenian-American artist, whose simultaneously rich, traumatic, dislocated and reenacted life and work established one of the most fertile links between his middle‑eastern origins, his dreamed of Europe and the particular transit of his American artistic creation.

Analysis of temporal and spatial variations of forest. A case of study in notheastern Armenia

The forest has a crucial ecological role and the continuous forest loss can cause colossal effects on the environment. As Armenia is one of the low forest covered countries in the world, this problem is more critical. Continuous forest disturbances mainly caused by illegal logging started from the early 1990s had a huge damage on the forest ecosystem by decreasing the forest productivity and making more areas vulnerable to erosion. Another aspect of the Armenian forest is the lack of continuous monitoring and absence of accurate estimation of the level of cuts in some years. In order to have insight about the forest and the disturbances in the long period of time we used Landsat TM/ETM + images. Google Earth Engine JavaScript API was used, which is an online tool enabling the access and analysis of a great amount of satellite imagery. To overcome the data availability problem caused by the gap in the Landsat series in 1988- 1998, extensive cloud cover in the study area and the missing scan lines, we used pixel based compositing for the temporal window of leaf on vegetation (June-late September). Subsequently, pixel based linear regression analyses were performed. Vegetation indices derived from the 10 biannual composites for the years 1984-2014 were used for trend analysis. In order to derive the disturbances only in forests, forest cover layer was aggregated and the original composites were masked. It has been found, that around 23% of forests were disturbed during the study period.