Multispectral and hyperspectral imagery

Get a quick overview of the differences between multispectral and hyperspectral imagery.


Overview

Optical sensors can capture imagery in the form of multispectral or hyperspectral imagery. Multispectral imagery captures a small number of broad, discrete bands. In contrast, hyperspectral imagery consists of dozens of continuous, narrow bands.

Bandwidths

Multispectral imagery

Multispectral imagery covers discrete and discontinuous regions of the electromagnetic spectrum

  • Specific, discontinuous ranges of the spectrum with gaps between bands.
  • Broader bandwidths of mostly 50–200 nm wide, with panchromatic bandwidths spanning 200–450 nm.
  • Broadly identifies and classifies materials.

Hyperspectral imagery

Hyperspectral imagery covers broad and continuous regions of the electromagnetic spectrum

  • Broader, continuous ranges of the spectrum with minimal to no gaps between bands.
  • Narrower bandwidths of 5–20 nm wide.
  • Isolates and identifies specific material spectral signatures.

Resolution

Multispectral imagery

  • Greater spatial resolution for each band as it averages light captured over a broader range of wavelengths.
  • Lower spectral resolution for each captured pixel.

Hyperspectral imagery

  • Lower spatial resolution for each band, as it captures light over a smaller range of wavelengths.
  • Greater spectral resolution for each captured pixel.

Complexity

All multispectral and hyperspectral imagery follow the standardized geometric and radiometric processing levels and delivery formats.

Multispectral imagery

Multispectral imagery can have up to six spectral bands

  • Typically, four to six bands, with a relatively lower file size.
  • More suited for visual analysis methods.
  • Greater availability of catalog imagery.
  • Relatively lower cost.

Hyperspectral imagery

Hyperspectral imagery can have dozens of spectral bands

  • Typically, dozens of spectral bands, with a relatively larger file size.
  • Requires more advanced analysis tools.
  • Lower availability of catalog imagery, often needs to be tasked.
  • Relatively higher cost.

Use cases

Multispectral and hyperspectral imagery are complementary and can be used for a variety of use cases.

FieldMultispectral imageryHyperspectral imagery
Agriculture
  • Crop health monitoring
  • Biomass and yield estimation
  • Irrigation planning
  • Crop disease detection
  • Soil composition analysis
Environmental monitoring
  • Land use and land cover classification
  • Flood water tracking
  • Coastline erosion monitoring
  • Invasive plant species identification
  • Waterbody quality and turbidity assessment
Mining and resource extraction
  • Resource extraction footprint monitoring
  • Geological structure mapping
  • Mineral deposit detection
  • Surface hydrocarbon seepage detection
Utilities and vegetation management
  • Encroachment monitoring
  • Third-party interference detection
  • Pipeline leak detection
  • Tree species detection for risk assessment

Availability

Available tasking collections:

See multispectral collections See hyperspectral collections

Available catalog collections:

See multispectral collections See hyperspectral collections

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