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.

Transparency in financial reporting by European Foundations

The increasing role of the European Foundations, urges for more transparency. The prevalent accounting frameworks in which they operate and report their activities are mostly based on national laws. This lack of harmonization, limits comparison between European foundations. Thus, this Work Project analyzes the current financial reporting by European foundations, and evaluates the similarities, differences and data availability between countries. The research provides evidence about little information available, deficiency in the financial reporting, within and between countries. The research recommends the need to ensure uniformity by providing a clear definition for public-benefit purpose, harmonization of laws and financial reporting.

Using text-mining-assisted analysis to examine the applicability of unstructured data in the context of customer complaint management

Double Degree