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Doshi Komal Nileshkumar

GE4007

Urban Heat Island Prediction Using Geospatial Technology

This study predicts Urban Heat Island (UHI) intensity in Pune for the years 2025–2026 using  time-series modeling. Key indicators such as LST, NDVI, NDBI, and NDWI were used for analysis. The LSTM model, selected for its superior performance , was applied to forecast Land Surface Temperature. Results showed that daytime UHI was weak or negative, with rural areas heating more due to bare land and croplands. In contrast, night-time UHI was strongly positive, with urban zones retaining more heat. Hotspot analysis and LULC data supported these findings, confirming persistent night-time heat stress in urban regions.


Report Content

Introduction, Aim & Objective

Methodology

Study Area & Data-sets

Analysis of past trend

Model selection & Validation of the result

Analysis of predicted value (Daytime)

Analysis of predicted value (Nighttime)

Hotspot analysis of past data

Hotspot analysis of predicted data

Conclusion & Limitation of the study