Landscape refers to the visibly distinct features of an area of land and the physical elements of landforms on the earth surface. the patterns of landscape define and decide various parameters for the planning and management of various natural resources. a distinguishing feature of landscapes and ecosystems is constant change due to either natural or human induced changes. these dynamic systems possess both spatial and temporal complexity exploitation of natural resources and drastic land cover changes have given rise to significant impacts on ecosystem structure, and dynamics, this necessitates inventorying, mapping and modeling of landscape dynamics. patterns and scale are central issues that are essential to understand complex interactions and driving forces. rapid urbanization, especially in the developing world is one of the crucial issues of global change in the 21st century affecting the human dimensions, and have led to exploitation of natural resources with significant impacts on ecosystem structure and its functional abilities threatening urban sustainable development. urbanisation interacts with the neighboring landscape structures in the form of commuter’s flow, pollution, obtaining food grain, which create dispersed growth or sprawl in between the metropolis and the semi urban area, and these areas are often devoid of basic amenities. landscape transformation under the influence of urbanization is multi-directional and differentiated in time and space. the best approach to understand the process of urbanization and its consequences is by quantifying spatial patterns based on a set of spatial metrics. prediction of future growth is essential to control the uncontrolled development and plan for sustainable cities. predictive models become very significant as they foresee spatial changes based on the historical land uses, which helps the decision makers in planning the growth including sprawl across the city periphery. land use patterns of the select tier i and tier ii cities in india were assessed using temporal remote sensing data from 1973 to 2012. further, gradients and zonal analysis aided in understanding the urban dynamics at local levels. spatial patterns of urban process were explored using spatial metrics. modelling and visualisiation of rapidly urbanising landscape considering the land use trends with influencing factors of urbanisation provided the future likely scenario with vital insights required for planning sustainable cities.