Analysis of temporal and spatial variation of forest. A case of study in northeastern Armenia
View/ Open
Metadata
Show full item recordcomunitat-uji-handle:10234/158176
comunitat-uji-handle2:10234/71345
comunitat-uji-handle3:10234/141145
comunitat-uji-handle4:
TFG-TFMMetadata
Title
Analysis of temporal and spatial variation of forest. A case of study in northeastern ArmeniaAuthor (s)
Tutor/Supervisor
Pla Bañón, Filiberto; Pebesma, Edzer; Universitat Jaume I. Departament de Llenguatges i Sistemes InformàticsDate
2015-01-30Publisher
Universitat Jaume IAbstract
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. ... [+]
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. [-]
Subject
Description
Treball Final del Màster Universitari Erasmus Mundus en Tecnologia Geoespacial (Pla de 2013). Codi: SIW013. Curs acadèmic 2014-2015
Type
info:eu-repo/semantics/masterThesisRights
info:eu-repo/semantics/openAccess
This item appears in the folowing collection(s)
The following license files are associated with this item: