Urban Heat Island Mapping & Analysis

Satellite-derived LST, UHI intensity, and land cover correlation for a synthetic 5 km × 5 km city

2026-03-15 00:11 UTC
Mean UHI (Day)
19.4°C
Mean UHI (Night)
14.6°C
Hotspot Clusters
103
Classification OA
99.5%
Moran's I
0.956 Spatial autocorrelation
NDVI-LST R²
0.353 Pixel-level regression
Max UHI (Day)
22.6°C
Kappa
0.991 Cohen's Kappa

Map Gallery

Land Surface Temperature (Day)
Land Surface Temperature (Day)
Brightness temperature → emissivity-corrected LST
UHI Intensity (Day)
UHI Intensity (Day)
Urban – rural reference temperature difference
Land Cover Classification
Land Cover Classification
RF classifier – 6 classes from spectral + thermal bands
NDVI vs LST Scatter
NDVI vs LST Scatter
Pixel-level regression showing vegetation cooling
Zone Temperature Bar Chart
Zone Temperature Bar Chart
Mean LST per planning zone
Diurnal Temperature Range
Diurnal Temperature Range
Day – night temperature differential

Zone Statistics

Zone Mean NDVI Mean LST (°C) Impervious %
Dense Urban -0.093 47.9 100.0%
Suburban 0.282 41.0 100.0%
Vegetation 0.804 30.4 0.0%
Water -0.188 25.4 0.0%
Bare Soil -0.112 45.4 0.2%
Industrial -0.253 49.8 99.9%

Interactive Charts

NDVI vs LST (pixel samples)
Zone Temperature Comparison

UHI Analysis Summary

Daytime UHI
  • Mean UHI: 19.38°C
  • Max UHI: 22.56°C
  • Rural Reference: 30.39°C
  • Hotspot Clusters: 103
  • Hotspot Pixels: 210265
Nighttime UHI
  • Mean UHI: 14.64°C
  • Max UHI: 14.64°C
  • Rural Reference: 20.98°C
  • Hotspot Clusters: 103
  • Hotspot Pixels: 210265

Processing Pipeline

01 Synthetic
Thermal Data 02 Land Surface
Temperature 03 Land Cover
Classification 04 UHI
Intensity 05 Correlation
Analysis 06 Map & Chart
Export

Cloud Architecture

QGIS / Python
Analysis GeoTIFF & JSON
Outputs Flask
Dashboard Azure App
Service (B1)