The eco-tourism is an important element in the economic and social development at
the both local and international levels. It represent an essential economic resource for the
governmental sector, so this research particularly important because it i
s looking for the
possibility of using GIS techniques in the protected areas management. The objective of
this study is to verify the GIS importance in creating data-base which is significant for
Naby Matta protected area managers; this data-base is basically helping in the development
of the ecotourism. The results of research confirmed the importance of geographic
information systems in designing of database and the various maps and its role in
determining the steps tourism development such as determining the places of assimilation
and classify it according of the visitors density, select the better tracks for pedestrians, the
appointment of entry points and restaurants, observation points, in addition to the
investment potential of geographic information systems in spatial analysis such as
proximity and distance analysis of particular point from another point, or search for a
particular tourist attraction and find it such as searching for the best spots to enjoy the
picturesque scenery away from sensitive environmental housing thus saving time and
effort and speed in the service of visitors.
SST satellite images analysis has provided us a new description of the surface
circulation in the eastern basin of the Mediterranean Sea. It showed many characteristics
for a lot of mesoscale eddies. In this study, the SST analysis is focalised on
the upwelling
structure showing by images, in the eastern basin of the Mediterranean Sea, which has an
important biological reflection at the marine environment. We have analyzed images for
different periods to identifier this phenomena's places and this will be help us in situ
nutrient observations.
The importance of this modern technology (remote sensing) follows from the fact that it allows estimating the wood stock by knowing the value of the NDVI index, which reduces the high cost and great effort needed by traditional forestry measurements.
