Visualizing Time Series and Spatial Gradient effect of Urban Heat Island Expansion in Aurangabad (Maharashtra, India) with Machine Learning and Python

Tejashri Laxmikant Chate

Urban heat island, Python, Machine learning, Time Series and Spatial Gradient effect

Urban Heat Island (UHI) effects, exacerbated by rapid urbanization and unplanned growth, pose significant challenges for urban sustainability and climate resilience in Indian cities. This study focuses on Aurangabad, Maharashtra, as a case study to understand UHI expansion using machine learning and python based libraries. Leveraging Python geospatial libraries such as GeoPandas for handling geospatial datasets and Rasterio for reading and manipulating raster data, we preprocess the data to extract numerical temperature values. By applying machine learning algorithms, we identify UHI patterns and their association with land cover types. Our methodology encompasses data preprocessing, numerical temperature value extraction, statistical analysis, and visualization. Through the integration of GeoPandas and Rasterio, alongside Python geospatial libraries, we gain insights into the spatial gradients of UHI expansion. By elucidating the UHI phenomenon in a booming industrialized urban like Aurangabad, this research aims to inform evidence-based decision-making for urban planning and climate resilience strategies. Our findings contribute to the broader discourse on mitigating UHI effects and fostering sustainable urban development.

Published Paper   E-Certificate

"Visualizing Time Series and Spatial Gradient effect of Urban Heat Island Expansion in Aurangabad (Maharashtra, India) with Machine Learning and Python", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.9, Issue 11, page no.457 - 462, November-2024, Available :https://ijsdr.org/papers/IJSDR2411059.pdf

Volume 9 Issue 11, November-2024

Pages : 457 - 462

Paper Reg. ID: IJSDR_212753

Published Paper Id: IJSDR2411059

Downloads: 000346999

Research Area: Computer Science & Technology 

Country: Aurangabad, Maharashtra, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2411059

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2411059

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition