yashveeeeeer

yashveeeeeer / india-district-nightlights-viirs

Public

District-wise nighttime lights database for India (641 districts, 2012-2024) using VIIRS satellite data.

census-india development-economics district-data economics gdp-proxy
11
0
100% credibility
Found Mar 07, 2026 at 11 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

This repository offers a ready-to-use dataset and customizable pipeline for generating district-level nighttime lights statistics from satellite imagery across India for 2012-2024.

How It Works

1
🕵️ Discover the tool

While searching for data on light brightness across Indian districts to study economy or growth, you find this handy open-source project.

2
📥 Grab ready results

Immediately download the complete spreadsheet with light stats for 641 districts over 13 years, perfect for quick analysis in any tool.

3
✨ Need fresh or custom data?

If the included data isn't enough, get ready to build your own version with chosen years or details for your research.

4
🔗 Link satellite data

Sign up for a free account with a public satellite imagery service and connect it so the tool can pull the latest lights info.

5
⚙️ Pick your settings

Choose the time period, like 2012 to 2024, and which light measures matter most, such as average glow or total brightness.

6
▶️ Start the magic

Press go, sit back, and watch it automatically fetch boundaries, lights data, and calculate stats for every district.

🎉 Results ready!

Celebrate having clean spreadsheets of district light trends and map files for easy charting, research papers, or sharing insights.

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Star Growth

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AI-Generated Review

What is india-district-nightlights-viirs?

This Python pipeline builds a district-wise nighttime lights database for 641 districts in India, pulling VIIRS satellite data from 2012-2024 via Google Earth Engine. Run one CLI command to download boundaries, compute zonal stats like mean radiance, total sum, and log-transformed metrics, then export a clean CSV panel (8,333 rows) plus yearly GeoJSON files for mapping. Pre-built output CSV is included, so you get research-ready nightlights data without GIS hassle.

Why is it gaining traction?

Unlike SHRUG's fixed village-level dataset up to 2021, this lets you customize years, resolution, and stats for district-wise VIIRS lights, with easy Earth Engine integration or direct downloads. The CLI handles end-to-end processing in minutes, skipping manual raster wrangling, and outputs directly loadable in Python, R, or Stata. Low barrier for India-focused satellite data experiments.

Who should use this?

Development economists estimating sub-national GDP or tracking electrification at district level. Urban researchers measuring sprawl via nighttime lights proxies. Policy analysts assessing disaster impacts across India's 641 districts with 2012-2024 panels.

Verdict

Grab it if you need fresh, customizable India district nightlights data—docs and pre-built CSV make it instantly usable despite 11 stars and 1.0% credibility score. Still early; test on a subset before production pipelines.

(178 words)

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