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This paper describes an on-going work on the development and implementation of cellular automata based urban growth modeling using multitemporal satellite imagery. The algorithm is designed to simula...
Landscapes always change, as they are the expression of the constant interaction between natural and cultural forces in the environment. Applied to an urban/peri-urban case, changes are seen as a mena...
This paper presents an addition to urban theory through a time-series analysis of remotely sensed imagery using spatial metrics.Results from the research are used to support the theory that urban area...
Urban development has expanded rapidly in the Las Vegas, Nevada metropolitan area over the last fifty years. Associated with this growth trend has been the transformation of the landscape from natural...
This paper presents a methodology for simulating urban growth phenomenon through utilizing remote sensing imagery and neural network (NN) algorithms. Historical satellite images of Indianapolis city, ...
Urban areas are the most dynamic region on earth. Their size has been constantly increased during the past and this process will go on in the future. Especially in less developed countries a strong tr...
This paper presents a research that integrates remote sensing, GIS, and dynamic spatial modeling for predicting urban spatial growth with different development conditions considered. The study area h...
The PIMAR Project - Program for Monitoring the Atlantic Rainforest Environment and Urban Growth of Riode Janeiro through Remote Sensing, aims at the development of an operational methodology for ...

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