I Hug Trees

Urban Green Cover & Built-up Analysis — Chennai-region

Monthly Analysis of City Vegetation for Chennai-region, tracking vegetation health and urban development trends from satellite data. This digest integrates NDVI and NDBI indices, highlights zones of vegetation stress versus built-up surfaces, and assesses urban heat island effect with heat-risk mapping and 3D visualizations.

Published on: 2025-09-28

NDVI preview

This preview, captured by the Sentinel-2 satellite from its orbit at approximately 786 km above Earth, shows the Chennai region in striking detail. The city lies at the center of the frame, stretching southward along the coast to Mahabalipuram, while in the north the dark green wetlands and inland waters of Pulicat stand out vividly. The contrasting shades highlight both the dense urban core and the surrounding natural landscapes. Imagery observed on 2025-09-08 .

This month's digest for the Chennai region reveals a nuanced landscape through the lens of Sentinel-2A satellite imagery captured on September 8, 2025. We've analyzed the Normalized Difference Vegetation Index (NDVI) to gauge vegetation health and the Normalized Difference Built-up Index (NDBI) to assess built-up areas. Only images with cloud cover below 50% are considered, ensuring clarity in our monthly updates. This digest, curated by I Hug Trees and sourced from the Microsoft Planetary Computer, highlights the interplay between urban expansion and green spaces in the region.

NDVI

NDVI color

NDVI — color visualization

NDVI greyscale

NDVI — greyscale (index values)

NDVI csv values

No CSV data available.

NDBI (Built-up Index)

NDBI color

NDBI — color visualization

NDBI greyscale

NDBI — greyscale (index values)

NDBI csv values

No CSV data available.

NDVI − NDBI & Heat Risk

NDVI-NDBI difference

Difference visualization — highlights vegetation vs built-up dominance.

Heat risk map

Heat risk interpretation derived from NDVI–NDBI difference.

The NDVI values for the Chennai region range from a minimum of 0.010 to a maximum of 0.850, with a mean of 0.325 and a median of 0.310. This indicates a moderate level of vegetation cover across the region, with some areas showing dense vegetation. The NDBI values show a minimum of -0.300, a maximum of 0.600, a mean of 0.150, and a median of 0.140. This suggests a significant presence of built-up areas, though not overwhelmingly so. The mean difference between NDBI and NDVI is 0.175, indicating that built-up surfaces predominate in the region. The NDVI–NDBI difference map (see ndvi_ndbi_diff_color.png) shows areas where built-up surfaces exceed vegetation, flagging these zones as higher heat-risk on the heat-risk map (see heat-risk.png).
  • Areas with NDVI values above 0.500 are likely lush, green zones that contribute to cooling.
  • Regions where NDBI exceeds 0.300 may experience increased urban heat due to dense construction.
  • Transitional zones with mixed NDVI and NDBI values could benefit from targeted greening efforts.

3D Renders (Rayshader & Rayrender)

Rayshader

Rayshader 3D visualization derived from NDVI height-extrusion

Rayrender

Rayrender 3D visualization derived from NDVI height-extrusion

Interactive NDVI overlay (zoom, pan, transparency). Use it alongside the static maps above.

To explore the Chennai region's landscape in greater detail, use the interactive overlay available at ndvi_map.html. You can zoom in on specific areas, adjust the transparency slider to compare layers, and validate features against high-resolution basemaps. Remember that the cloud cover for this observation was 2.41%, which might affect the clarity of some areas. We recommend field validation to confirm satellite observations and suggest a monthly monitoring cadence to track changes over time.

Urban heat island effect

Our analysis indicates that built-up surfaces predominate in the Chennai region, with a mean difference of 0.175 between NDBI and NDVI. This suggests increased urban heat risk in areas where construction is dense. We recommend a monthly monitoring cadence to observe changes, prioritize greening efforts in transitional zones, and engage the community in urban cooling initiatives.

Disclaimer: this analysis refers to the satellite crop / geo-bounds stored under the 'Chennai-region' folder (may include extended suburbs) and does not represent the full administrative limits of Chennai.

References & Data

Free to Download (Please cite):

metadata.json

I Hug Trees NDVI Data Citation:

The NDVI and NDBI GeoTIFF and images are provided by I Hug Trees for scientific purposes. Please cite as:

    @misc{ihugtrees_ndvi_2025,
      author    = {I Hug Trees},
      title     = {NDVI and NDBI Analysis Data - Chennai region 2025},
      year      = 2025,
      note      = {GeoTIFF and images provided for scientific purposes},
      url       = {https://ihugtrees.org}
    }
      

Microsoft Planetary Computer Citation

If the Planetary Computer is useful for your work, please cite it using this record on Zenodo:

    @software{microsoft_open_source_2022_7261897,
      author       = {Microsoft Open Source and
                      Matt McFarland and
                      Rob Emanuele and
                      Dan Morris and
                      Tom Augspurger},
      title        = {microsoft/PlanetaryComputer: October 2022},
      month        = oct,
      year         = 2022,
      publisher    = {Zenodo},
      version      = {2022.10.28},
      doi          = {10.5281/zenodo.7261897},
      url          = {https://doi.org/10.5281/zenodo.7261897}
    }