Geo-Spatial Technology for Urban Sprawl Monitoring
How GIS and remote sensing can be used to monitor urban growth or land use changes
Urban
sprawl detection at zones level of
Jaipur city for better monitoring and planning (2008-2013)
Urban Growth estimation and monitoring is important process for urban planning for future development. The current growth and past trends can help to predict future demand for urban planning.
The urban growth can be assessed using data created through satellite images. Satellite data cover important aspect that is temporal information, one can map urban growth of current as well past.
GIS is a versatile tool, in which mathematical and statistical concepts can be integrated very easily. Therefore, GIS tool can be used for simulation and prediction of urban patterns for future.
To assess the urban sprawl, built-up
area is quantified using temporal satellite data for 2008, 2011 and 2013.
Built-up area, which refers to
the residential and commercial areas, industrial complexes, roads and paved
ways etc., is captured for the Jaipur city using satellite data and Image processing software.
The standard image processing techniques, such as image
extraction, rectification and classification have been used for the analysis of
three satellite images. Supervised classification using maximum likelihood
classification (MLC) algorithm has been performed for the classification of
satellite images.
The algorithm was trained by supervised training process,
after collection of parametric and non-parametric signatures.
The classification
results obtained from supervised classification are re-checked with ground data
and other secondary data to find out wrongly classified or missing pixel and
these pixels were updated adequately.
Fig: Changes in built-up area (in
Hectare)
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