URBAN SPRAWL PREDICTION FOR THE INDUSTRIAL CITY - SURAT

Neha Sharma

GE4001

The project deals with the selection of one Indian city based on industrial factors. Performing supervised classification, accuracy assessment of classified images, refinement of classified images and analyzing the change between two-year datasets using change detection tool and transition matrix. Finally predicting urban sprawl for the future year using prediction models and driving factors of the city.

Report Content

Image shows brief of urban sprawl, methodology followed for entire studio, city selection maps, study area, supervised classification and accuracy assessment results.

Image shows change detection map and matrix and use of 2 future sprawl prediction models - FUTURES and GeoSOS for urban sprawl prediction for the year 2024 using various driving factors of city like - slope, distance to road, distance to protected areas etc.