Heuristic Approach to Urban Sprawl Recognition Using RS & GIS Techniques

Abstract

Urban sprawl is due to population growth, rural urban migration, lack of economic sustainable growth
and poor urban and regional plans strategies. This paper presents a heuristic approach to urban sprawl
recognition using remote sensing and GIS techniques. It discusses the processing of RS and GIS data for
Sana a City (the capital of Yemen Republic) 1988, 1994 and 1998 in urban pattern recognition. Spatial
and temporal urban changes are discussed in the analytical process of the urban sprawl recognition. The
heuristic modeling for the identification and prediction of urban sprawl scenarios in Sana a is also
discussed.