This paper presents the methods of designing a model to determine the appropriate points to build fire towers extended on an area of Syrian Arab Republic, in order to monitor and early warning the forest fire. This helps the authorities' process of
extinguishing the fire as it arises and thereby protect our forest from fire that destroys thousands of hectares every year.
The model has been designed using the tools of Spatial Analysis available in ArcGIS program. These tools have been applied to evaluate the performance of the fire towers in the studied area, and to suggest new sites for fire towers in this region in order
to increase the vision of the area. We calculate the area of visible areas covered by the suggested fire towers. We finally customize the parameters of the model to be applied for different areas using different input data, so the users of the model simply can enter the
parameters of their own area and apply the model.
This paper presents the Change vector analysis (CVA) approach for detecting and
characterizing radiometric change in multispectral remote sensing data sets
The dynamic changes of the land use/land cover were studied in lattakia city by
using two E
TM-Landsat-7 scenes, for the years 2000, and 2010, and the spatial resolution
of those two images was 15 m. The CVA algorithm has been applied and produced two
‘channels’ of output change information multispectral change magnitude and change
vector direction in land use/land cover during this period. Two models have been built
within ERDAS Imagine 8.6 software to perform the algorithm and evaluate the positive
and negative changes and analyze the the human impacts on the land use/ land cover
change.
This method can be applied to various fields of study in order to generate maps
represent the continuous development of land use and land cover. These maps can be
significantly useful for the regional and urban planning and natural resource management,
in light of the great expansion of urban areas at the expense of green spaces and
uncontrolled use of the land.
