Abstract
The most important parameter for urban information system is the building information which is represented by the geographic location of the buildings as well as the area, perimeter, density, inter building distances. This data is integrated with demographic data for various applications. High resolution Remote sensing images are widely used as primary data for automatic extraction of building information. Many researchers have developed different methods for maximizing the detection percentage with minimum errors. This paper analyzes the primary data available for researchers, deriving the secondary information and utilizing it effectively. Case studies by various researchers were analyzed and a methodology has been outlined using their experiences, which is expected to be more efficient and reduced errors.
Highlights
The introduction of Geographic Information System (GIS) enabled efficient planning, monitoring and regulating the utilization of natural resources to the optimum
In particular to the urban areas, this is more effective as the population density is very high and there is a high demand for water, electricity, essential commodities, sewerage management etc
The three key aspects of any Information system is (i) accurate depiction of the locations of all physical parameters, which makeup the network. (ii) the ability to define a model of the utility as near to the status on the ground by using the physical parameters and (iii) the ability to integrate a spatial representation of all the individual models into a single system
Summary
The introduction of Geographic Information System (GIS) enabled efficient planning, monitoring and regulating the utilization of natural resources to the optimum. The most important input for these models is the urban building information which is represented by the geographic location of the buildings in relation to the ground The building information such as area, perimeter, density, inter building distance are collected and integrated with the demographic data for each building. This is a very handy tool for many city planners and civic amenity providers in deriving various GIS based applications which include GIS based Digital Taxation, monitor plan deviations, utility service planning, Transportation Planning, Land Information System, Assets Management and Maintenance, Traffic Density Studies, Environmental Impact Analysis, Disaster Management and Mitigation, Community Development, Hot Spot Analysis, Crime Analysis etc
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