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 ETM-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.