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PG - MGEO - DRP - 4 | Spring 2022 | AI based machine learning approach for urban sprawl
  • Student ENGINEER PRATIK VIJAYBHAI
  • Code PGE20115
  • Faculty Technology
  • Tutor/s Dipak Samal

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 The study predicts future built up area increase for the year 2031 for Ahmedabad city. The city grew by about one and a half million people by the last census in 2011. A nearby military base and government institutions bring people from all over India to Ahmedabad and fuel city growth. With growth there is a great loss in vegetation as well as open land. This study tells about all the changes took place for every land use classes and also how Machine learning has been used for preparing the data needed for this study.

Aim and objective for the study.
Methodology followed to carry out this study.
Satellite images acquired with the help of machine learning.
Parameters used in Land Change Modeler for analysis and prediction for future LULC.
Gains and losses in each land use and spatial trend of growth for the decade 2001-2011.
Transition between classes, Transition potential and Prediction of 2021and then comparing it with classified 2021 LULC.
Validation for LULC 2021.
Gains and losses in each land use and spatial trend of growth for the decade 2011-2021.
Exchanges and transition between classes and transition potential.
Predicted LULC for the year 2031.