Hi Tej, 

I work with remote sensing data for urban growth. 

For quickstart, I would suggest you to classify multi-temporal remote 
sensing images into simple classes such as built-up, vegetation, water 
etc.. Thereafter you can use MOLUSCE plugin within QGIS (FOSS) to 
estimate urban transitions and probabilities for urban sprawl.
https://www.youtube.com/watch?v=iRwLQIHgLCo 

Let me know if you have further questions.

Bests,
Prakhar Misra

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Prakhar MISRA, PhD.

Researcher (Program 1)

Research Institute of Humanity and Nature

457-4 Motoyama, Kamigamo, Kita-ku, Kyoto, 603-8047 JAPAN

Webpage: https://mprakhar.github.io/

E-mail: mprak...@chikyu.ac.jp , prakharmisr...@gmail.com

Tel: +81-70-4813-2297 <070-4413-7473>

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On Wednesday, 24 June 2020 22:01:16 UTC+9, TEJ CHAVDA wrote:
>
> Good morning all,
> I hope you all are well. I have a project on Prediction model for urban 
> sprawl anyone can help me in this topic please help me to explore this 
> topic. Anyone did anything regarding this? please let me know. 
>
> thank you 
> tej chavda 
>
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