Title of article :
Monitoring and modelling of urban sprawl using remote sensing and GIS techniques
Author/Authors :
Jat، نويسنده , , Mahesh Kumar and Garg، نويسنده , , P.K and Khare، نويسنده , , Deepak، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2008
Abstract :
The concentration of people in densely populated urban areas, especially in developing countries, calls for the use of monitoring systems like remote sensing. Such systems along with spatial analysis techniques like digital image processing and geographical information system (GIS) can be used for the monitoring and planning purposes as these enable the reporting of overall sprawl at a detailed level.
present work, urban sprawl of the Ajmer city (situated in Rajasthan State of India) has been studied at a mid scale level, over a period of 25 years (1977–2002), to extract the information related to sprawl, area of impervious surfaces and their spatial and temporal variability. Statistical classification approaches have been used for the classification of the remotely sensed images obtained from various sensors viz. Landsat MSS, TM, ETM+ and IRS LISS-III. Urban sprawl and its spatial and temporal characteristics have been derived from the classified satellite images. The Shannonʹs entropy and landscape metrics (patchiness and map density) have been computed in terms of spatial phenomenon, in order to quantify the urban form (impervious area). Further, multivariate statistical techniques have been used to establish the relationship between the urban sprawl and its causative factors. Results reveal that land development (160.8%) in Ajmer is more than three times the population growth (50.1%). Shannonʹs entropy and landscape metrics has revealed the spatial distribution of the urban sprawl over a period of last 25 years.
Keywords :
Remote sensing , Urbanisation , GIS , Modelling , Land use , Urban sprawl
Journal title :
International Journal of Applied Earth Observation and Geoinformation
Journal title :
International Journal of Applied Earth Observation and Geoinformation