Urban Growth Modelling Based on CA-Markov Approach on Bengaluru India

Jyothi Gupta, Raghunandan Kumar

2023

Abstract

The theme of this research is to create spatial patterns for Bengaluru city in India to understand the urban growth over the past 40 years. The problem of our re-search addresses developing an integrated Geospatial Modelling Approach to as-sess Urban Growth patterns in Bengaluru Metropolitan Region. This study uses the various logical methods to create the Land Use/Land Cover (LULC) Map, all the datasets in google earth engine are categorised in the Supervised Classification. Machine Learning Processes such as Random Forest (RF), Classification and Regression Tree (CRT), and Support Vector Machine (SVM) classifiers are considered for this Classification. The Classifier’s performance is evaluated using statistical measures like overall Accuracy and kappa statistics. Classes with multiple parameters are carried out with the Hybrid Cellular Automata- Markov (CA-Markov) method, which is capable of duplicating changes through one grouping to another. This hybrid model supports model both spatial 3D and temporal time-based changes. The main product after modelling predicts LULC for 2041 and 2051. The argument is that CA-Markov, Shannon entropy will allow us to define how much area of all classes will be changed in 2041 and 2051.

Paper Citation

in Harvard Style

Gupta J. and Kumar R. (2023). Urban Growth Modelling Based on CA-Markov Approach on Bengaluru India. In Proceedings of the 1st International Conference on Artificial Intelligence for Internet of Things: Accelerating Innovation in Industry and Consumer Electronics - Volume 1: AI4IoT; ISBN 978-989-758-661-3, SciTePress, pages 385-391. DOI: 10.5220/0012876600003739

in Bibtex Style

@conference{ai4iot23,
author={Jyothi Gupta and Raghunandan Kumar},
title={Urban Growth Modelling Based on CA-Markov Approach on Bengaluru India},
booktitle={Proceedings of the 1st International Conference on Artificial Intelligence for Internet of Things: Accelerating Innovation in Industry and Consumer Electronics - Volume 1: AI4IoT},
year={2023},
pages={385-391},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012876600003739},
isbn={978-989-758-661-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Artificial Intelligence for Internet of Things: Accelerating Innovation in Industry and Consumer Electronics - Volume 1: AI4IoT
TI - Urban Growth Modelling Based on CA-Markov Approach on Bengaluru India
SN - 978-989-758-661-3
AU - Gupta J.
AU - Kumar R.
PY - 2023
SP - 385
EP - 391
DO - 10.5220/0012876600003739
PB - SciTePress