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Understanding Urban Heat Island Effects with Landsat-8 Thermal IR & LST Mapping

Published on August 5, 2026Remote Sensing & Climate
Understanding Urban Heat Island Effects with Landsat-8 Thermal IR & LST Mapping

Understanding Urban Heat Island Effects with Landsat-8 Thermal IR & LST Mapping

Urban Heat Islands (UHI) represent one of the most critical environmental challenges facing modern megalopolises. As natural vegetation cover is replaced by impermeable concrete, asphalt, and high-density built structures, microclimatic thermal radiation increases significantly.

In this spatial research project, we derived Land Surface Temperature (LST) over two distinct metropolitan environments: Tokyo Bay Metropolitan Area and the Special Capital Region of Jakarta (DKI Jakarta), using multi-temporal Earth Observation satellite imagery.


Geospatial Methodology & Satellite Data Stack

To extract calibrated LST measurements at 30-meter spatial resolution, we utilized thermal infrared radiometry combined with multispectral vegetation indices:

  1. Landsat-8/9 TIRS (Thermal Infrared Sensor): Band 10 (10.60 – 11.19 µm) Top of Atmosphere (TOA) Spectral Radiance.
  2. Sentinel-2 MSI (Multi-Spectral Instrument): Band 4 (Red) and Band 8 (NIR) for high-resolution NDVI (Normalized Difference Vegetation Index) calculation.
  3. Copernicus Land Cover (10m): Impervious surface fraction masking.

Mathematical LST Extraction Equations

$$\text{TOA Radiance } L_\lambda = M_L \times Q_{cal} + A_L$$

$$\text{Brightness Temp } T_k = \frac{K_2}{\ln\left(\frac{K_1}{L_\lambda} + 1\right)}$$

$$\text{Land Surface Temp } LST = \frac{T_k}{1 + \left(\frac{\lambda \times T_k}{\rho}\right) \ln(\varepsilon)}$$

Where $\varepsilon$ is the land surface emissivity estimated from the Fractional Vegetation Cover ($P_v$).


Quantitative Spatial Findings

Our spatial overlay analysis across 4,200 km² of metropolitan area revealed significant microclimatic variation between high-density built environments and urban green infrastructure:

District / Surface Category Average LST (°C) NDVI Range UHI Thermal Anomaly (°C)
Industrial & Port Zone (Tokyo Bay / Tanjung Priok) 36.4°C 0.05 – 0.12 +4.8°C (Extreme Heat)
High-Density Commercial CBD (Shinjuku / Sudirman) 33.8°C 0.10 – 0.20 +3.2°C (High Heat)
Suburban Residential (Machida / Depok) 29.5°C 0.35 – 0.55 +0.4°C (Moderate)
Major Urban Parks (Yoyogi Park / Monas Green Canopy) 26.2°C 0.65 – 0.82 -2.8°C (Cooling Sink)

Cartographic Recommendations for Urban Planners

  1. Targeted Green Roof Incentives: Priority intervention in industrial and commercial zones exhibiting $LST > 34^\circ\text{C}$ and $NDVI < 0.15$.
  2. Cooling Corridors: Aligning urban greenways along prevailing coastal breeze vectors to channel cooler maritime air inland.
  3. Albedo Materials: Substituting standard dark asphalt with high-albedo reflective paving, reducing surface absorption by up to 14%.

Data processed using QGIS, Google Earth Engine (GEE), and GDAL spatial libraries.