VertiGreen — About this Project
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🌡️ Why this matters — Urban Heat Island
+2.7°C
Hyderabad LST rise 2015–2024
50°C+
Projected Indian city temps by 2035
7.1M
Buildings mapped across 5 cities
40%
Urban heat absorbed by buildings

Every building that goes up without green cover adds to the Urban Heat Island effect. VertiGreen identifies which buildings contribute most to UHI — at individual building resolution — using real satellite data. Nobody has done this at 7.1 million building scale for Indian cities before.

🏗️ What this tool does

VertiGreen is a building-level geospatial analysis tool that:

• Maps solar heat exposure per wall using sun position mathematics (6am–8:30pm full-day weighted)

• Calculates shadow analysis to identify which walls are naturally shaded — and therefore best suited for vertical gardens

• Estimates Land Surface Temperature using NASA MODIS satellite data (1km resolution, daily updates)

• Predicts cooling impact of vertical gardens using physics-based LAI, albedo and evapotranspiration models

• Calculates rainwater harvesting potential using IMD annual rainfall data and NBC 2016 runoff coefficients

• Checks bylaw compliance against National Building Code 2016 FAR limits

🛰️ Data methodology & limitations
"LST and NDVI values are sourced from NASA MODIS satellite data where available. In cases of API unavailability, values are estimated using a physics-based model calibrated to Indian climatic zones. Greening impact predictions use LAI, albedo and evapotranspiration factors from published literature (Pérez et al. 2011, Alexandri & Jones 2008)."
Land Surface Temperature (LST) Real when availableEstimated as fallback
Source: NASA MODIS MOD11A1 (1km resolution, daily). When NASA API is unavailable, LST is estimated from latitude + season + urban density formula calibrated to Indian cities.
NDVI Vegetation Index Real when availableEstimated as fallback
Source: NASA MODIS MOD13A2 (1km, 16-day composite). When unavailable, estimated from 0.05–0.25 based on urban density. Used to correct wall heat exposure for surrounding vegetation.
Wall Temperature Approximate
Calculated as: LST + (wall_exposure × 15). The ×15 multiplier is approximate — real values depend on wall material, colour, orientation and albedo which are not available in building footprint data.
Greening Cooling Effect Research-based estimate
LAI factor −35%, albedo factor −15%, evapotranspiration −20% — from published ranges (Pérez et al. 2011). Not building-specific measurements. Actual cooling varies by plant species, coverage density and climate.
UHI Offset Rough approximation
Estimated as: 3 + wall_exposure × 3. Real UHI measurement requires weather station data and neighbourhood-level density analysis not yet integrated in this version.
Solar Azimuth & Shadow Mathematically precise
SunCalc algorithm — peer-reviewed solar position formula. Shadow polygon = building height / tan(solar altitude) in the direction opposite to sun azimuth. Accurate to ±1° for Indian latitudes.
Wind Direction & Speed Live data
Source: Open-Meteo API (free, no key). Real-time wind from nearest weather station. Diurnal pattern (calm dawn → peak midday → calm night) applied based on thermal convection science.
🏛️ Government schemes — where this tool fits
🏙️
AMRUT 2.0 — Urban Greening Component
₹66,750 crore scheme with explicit urban greening mandate. VertiGreen can identify high-impact buildings for targeted subsidy allocation rather than random distribution.
🌆
Smart Cities Mission
100 cities, active greening budget. Building-level heat maps from VertiGreen can directly feed into Smart City project planning documents.
🌳
CAMPA Funds — Compensatory Afforestation
Vertical greening on buildings could qualify as urban forest equivalent. VertiGreen provides the data to make that case building by building.
🏗️
RERA & NBC Compliance
If NBC 2016 mandates green walls for new construction above 10 floors, VertiGreen becomes a compliance verification tool. Already checks bylaw height compliance.
💰
Cost reality of vertical greening
Installation: ₹800–2,500/sq ft. Typical 100m² wall: ₹8–25 lakhs. Annual maintenance: ₹1–3 lakhs. Government subsidy of even 40% would unlock widespread adoption in metro cities.
📖 References

• Pérez G. et al. (2011). Green vertical systems for buildings as passive systems for energy savings. Applied Energy.

• Alexandri E. & Jones P. (2008). Temperature decreases in an urban canyon due to green walls and green roofs in diverse climates. Building and Environment.

• IMD (2023). District-level rainfall normals 1991–2020. India Meteorological Department.

• BIS (2016). National Building Code of India. Bureau of Indian Standards.

• Wan Z. (2014). New refinements and validation of the collection-6 MODIS land-surface temperature/emissivity product. Remote Sensing of Environment.

Pilot Research Study · 2026
VertiGreen
Automated Geospatial Framework for Urban Thermal Mitigation
A building level analysis tool mapping solar heat exposure, vertical garden placement, rainwater harvesting and urban cooling powered by real satellite LST data and 7.1 million building footprints across 5 Indian cities.
HyderabadDelhiMumbaiBangaloreKochi
by C Raj Deepankar
5 Pilot Cities · 7.1M Buildings
Coverage & Cities
🏙️ Hyderabad
1,491,686 buildings
⚡ Instant load
🏙️ Delhi
2,135,451 buildings
⚡ Instant load
🏙️ Mumbai
828,637 buildings
⚡ Instant load
🏙️ Bangalore
1,498,961 buildings
⚡ Instant load
🏙️ Kochi
1,155,270 buildings
⚡ Instant load
💡 Searching a new city? Building data for cities outside our 5 pilot cities is fetched live from Overture Maps — this takes 5–15 minutes on first search. Once loaded, it's cached permanently and loads instantly for all future visitors.

Meanwhile, explore one of our 5 pre-loaded pilot cities above. We'll notify you when your city is ready!
3 Simple Steps
How it works
🔍
1 — Search any location
Type a city, neighbourhood or landmark in India. The map flies to that location and loads real building footprints from our database of 7.1 million buildings.
🏢
2 — Click any building
Click a building on the map to run a full 8-metric analysis — solar heat, shadow pattern, LST from NASA satellite, rainwater potential, bylaw check and greening plan.
🌿
3 — Get recommendations
See exactly which walls to green first, which plants suit the shade pattern, how much cooling is expected, and how much rainwater you can harvest from the roof.
by C Raj Deepankar
🏢Overview
🌡️Thermal
🌑Shadow
🛰️Satellite
🌿Greening
💧Rainwater
📋Report
ℹ️Credits
Click a tab to see its description
🏙️
No building selected
Search a location and click any building to run the full analysis with live NASA satellite data.
🌡️
No building selected
Click any building for the 8-metric thermal analysis.
🌑
No building selected
Shadow analysis calculates shaded hours per wall across the day, directly determining which walls are most suitable for vertical gardens.
🛰️
No building selected
Real NASA MODIS LST and NDVI data, plus 2015–2025 historical trend.
🌿
No building selected
Wall-by-wall vertical garden recommendations. Priorities are determined by shadow analysis → thermal load → NDVI correction.
💧
No building selected
Rainwater harvesting potential from roof area and IMD rainfall data.
📋
No analysis yet
Full report with all metrics, satellite data, shadow analysis and greening plan.
C Raj Deepankar
Automated Geospatial Framework for Urban Thermal Mitigation using Satellite-Derived LST and Building-Level Vertical Greening with Rainwater Harvesting
Building Footprints
Overture Maps Foundation
7.1 million building footprints across 5 Indian cities
Satellite & Climate Data
NASA MODIS
Live Land Surface Temperature and NDVI vegetation index
Open-Meteo
Live wind speed and direction data
IMD — India Meteorological Department
Annual rainfall averages by region
SunCalc
Solar azimuth, altitude and shadow calculations
Mapping
MapLibre GL JS
3D interactive map rendering
Esri World Imagery
Satellite basemap tiles
Regulatory Reference
National Building Code 2016
FAR limits and bylaw height calculations — Bureau of Indian Standards
GHMC Building Regulations
Hyderabad local bye-laws and setback rules
Built entirely with open and public data
VertiGreen © 2026 · C Raj Deepankar
Search a location → click any building to analyse
Fetching buildings…
🌡 Heat
💨 Wind
Surface Heat Intensity
CoolWarmHotPeak
Based on current sun position
🌅 🌆 12:00
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