Earth Data School/Nightlights — mapping power outages from space
Lesson 6.2 · 16 of 17

Nightlights — mapping power outages from space

When a hurricane knocks out the grid, the lights themselves become the data. NASA's Black Marble measures how much light each place emits at night — so a city going dark after a storm is a mappable signal of where power was lost.

In one lineCompare a clear night before a storm with a clear night after. Neighbourhoods whose light dropped are the likely outage areas. Simple in principle — the skill is in the caveats.

What Black Marble measures

The VIIRS Day/Night Band on the Suomi-NPP and NOAA satellites is sensitive enough to see moonlit clouds and city lights. NASA's Black Marble (product VNP46) cleans that raw radiance — correcting for the angle of view, moonlight, and stray light — into a nightly, comparable measure of how much light each ~500 m patch of ground emits. Black Marble HD sharpens it to neighbourhood scale.

Because grid power is most of what lights a city at night, a sudden, widespread drop in radiance after a disaster is a strong proxy for power loss — the analysis behind the Disasters Portal's Hurricane-Helene maps.

Play with it

Each cell is a city block, lit at night. Knock out power and watch the radiance drop. Then flip on thin cloud and moonlight — and see why this is a proxy you read carefully, not a meter.

measured radiance drop:

Do it yourself

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The honest caveats

  • It's a proxy, not a utility feed. Light loss correlates with outages; it doesn't count customers.
  • Cloud, moonlight, snow and even wildfire smoke distort nighttime radiance — always use the QA flags and compare clear nights, or you'll mistake weather for an outage.
  • A storm blinds the sensor. Thick storm cloud can hide the surface for days — read the first clear night after.
  • Single nights are noisy — a multi-night composite is steadier (the signal-vs-noise idea again).