Volume : V, Issue : XII, December - 2016

URBAN GROWTH PREDICTION USING GEOSIMULATION AND MODELING

Kusuma. Sundara Kumar, Pinnamaneni. Udaya Bhaskar, Kollipara. Padma Kumari

Abstract :

 ?is paper deals with application of geo–simulation and modelling techniques for the prediction of future urban growth pattern in the year 2045, for the new capital region of Andhra Pradesh, India. For this, remote sensing satellite images of the years 1995, 2005 and 2015 were processed in ERDAS to produce land use land cover (LULC) images. From the changes between these images, transition potential models were created in TERRSET to run the land change prediction model. From the LULC images of 1995 and 2005, image for 2015 was predicted, which is compared with already developed one, for validation. ?e accuracy of prediction is more than 80%. Now LULC of 2025 was predicted using the combination of 2005 and 2015, and that of 2045 was predicted using the combination of 2005 and 2025. ?e change detection was also presented. ?e predicted image will help urban planners for better environmental management

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Article: Download PDF   DOI : 10.36106/ijsr  

Cite This Article:

Kusuma. Sundara Kumar, Pinnamaneni. Udaya Bhaskar, Kollipara. Padma Kumari, URBAN GROWTH PREDICTION USING GEOSIMULATION AND MODELING, International Journal of Scientific Research, Volume : 5 | Issue : 12 |December 2016


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