Multifunctional role of forest is revealed by: short and long-term responses and reactions to a fast changing environment,
forest being able to provide ecological and social services, to assure a forest-wood chain that meet the needs for forest
based goods and products. Forest vegetation cover characteristics, including land cover and phenology, affect processes
such as water cycle, absorption and re-emission of solar radiation, momentum transfer, carbon cycle, and latent and
sensible heat fluxes.The climate system responds in complex ways to changes in forcing that may be natural or humaninduced.
Drastic climate change over the last two decades has greatly increased the importance of global environmental
study. In frame of this research, forest changes monitoring through satellite remote sensing can continually observe
various surface processes playing an increasingly important role in large-scale environmental monitoring.
Thresholding based on biophysical variables derived from time trajectories of satellite data is a new approach to
classifying forest land cover changes. The input data are composite values of the Normalized Difference Vegetation
Index (NDVI). Fusion technique was applied to Landsat TM, LANDSAT ETM, and IKONOS imagery for a forested
area, Cernica, placed at the North Eastern part of Bucharest town, Romania, over a period 1989-2007. Specific aim of
this paper is to assess, forecast, and mitigate the risks of climatic changes on forest systems.