EO·Atlas
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Methodology ยท Multispectral

Nightlights radiometry

Measures calibrated night-time visible to near-infrared radiance from low-light imagers, supporting economic activity, electrification, outage, urbanisation, and light-pollution analyses.

Nightlights radiometry measures night-time upward radiance from artificial and natural light sources using low-light visible/NIR imaging. VIIRS Day-Night Band products improved calibration and spatial resolution over DMSP-OLS, while Black Marble adds corrections for lunar illumination, atmosphere, clouds, snow, and other confounders.[1][2] It is a strong proxy for economic activity and infrastructure state, but it misses unlit activity and can be biased by lighting technology, saturation, fires, aurora, moonlight residuals, and viewing geometry.

Topic
Fit
Economic activity intelligencefirst choice

deferred-methodology-gap

Demonstrated

None on record.

Capable, undemonstrated
  • CS-292 Suupistri-EO

    CS-292 Suupistri-EO high-resolution visible camera with GSD <1m; capable of nighttime light imaging

  • Derives vegetation health, density, and phenology indicators (NDVI, EVI, SAVI) from red and NIR band ratios; good for crop monitoring, deforestation alerts, and land cover change detection.

  • Retrieves chlorophyll-a concentration, CDOM, and suspended sediment from spectrally resolved water-leaving radiance; good for marine primary production, harmful algal bloom detection, and coastal water quality.

  • Images the sea surface in sun-glint geometry, where surface-slope modulation of reflected sunlight reveals wave patterns and roughness; supports wave-spectrum and roughness estimation under clear-sky, suitable-illumination conditions. A complementary optical method, not an all-weather baseline.

Sources
Methodology

Edited from public sources. Last reviewed date pending by SpectraWorks editorial. See the data dictionary for field definitions.

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