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Geospatial / Data2024

India Nightlight Analysis.

Pincode-level economic activity extracted from NASA VIIRS night-lights

India Nightlight Analysis
highlights
01

NASA VIIRS DNB clipped to every Indian pincode boundary

02

Per-PIN time-series of mean nighttime radiance

03

Cloud masking + stray-light correction built in

04

Hyperlocal proxy for electrification & urbanisation

the work

A geospatial pipeline that ingests NASA's VIIRS DNB nighttime-light imagery through Google Earth Engine, clips it against India's pincode boundary shapefiles, and emits a per-PIN time-series of mean radiance. The output is a hyperlocal proxy for electrification, urbanisation and economic activity that complements (and often beats) census data for off-cycle years. Pipeline handles cloud masking, stray-light correction and pincode boundary edge cases, and exports clean GeoJSON / CSV for downstream economic modelling.

stack
Google Earth EngineVIIRS DNBPythonGeoPandasRemote SensingGeospatial

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