2026-04-23 · 6 min read
Two technologies. Different price points. Often confused. The straight answer to multispectral vs hyperspectral turns on what your sensor actually has to resolve — not how many bands sound impressive on the spec sheet.
The fundamental difference
Multispectral sensors — like the MicaSense RedEdge-P — capture 5 (or 10) broad, fixed bands. Each band averages reflectance over a 20–40 nm window. The bands are placed to capture vegetation indices: blue, green, red, red-edge, near-infrared.
Hyperspectral sensors — like the Living Optics SpectralCamera — capture 96+ narrow, contiguous bands across 400–1000 nm. Each band is roughly 6 nm wide. You get a continuous spectral fingerprint per pixel rather than five summary statistics.
When multispectral wins
Most agronomy and forestry work. The vegetation indices that matter — NDVI, NDRE, GNDVI, SAVI — are defined on broad bands. A 5-band multispectral sensor with proper radiometric calibration produces decision-grade outputs at a fraction of the cost.
If your work is:
- Routine NDVI / NDRE crop scouting
- Variable-rate prescription mapping in PIX4Dfields
- Plantation inventory and canopy health
- Wetland and mangrove change detection
- Most forestry and environmental work
— buy multispectral. MicaSense RedEdge-P or Altum-PT, calibrated panel, DLS 2 light sensor, processed in PIX4Dfields. Total cost: SGD 4-5 figures.
When hyperspectral is the only option
Anywhere multispectral's 5 bands are not enough to discriminate the signal. This is more often than you think:
- Material discrimination — telling apart similar-looking polymers on a recycling conveyor, distinguishing camouflage paint from foliage, classifying mineral phases on a mining face. The fingerprint is in narrow features that broad bands wash out.
- Early disease detection in agriculture — symptoms appear in narrow spectral bands days or weeks before visible symptoms. Multispectral typically catches the disease around the same time the human eye does.
- Food quality and contamination screening — the relevant signals are at narrow absorption features.
- Water quality and pollutant plumes — chlorophyll-a, dissolved organic matter, suspended sediment have distinct spectral signatures that need contiguous coverage.
- Defence ISR — material classification under varied lighting and atmospheric conditions.
- Forensics and heritage — pigment identification, document authentication.
If your application is in this list, hyperspectral is the only sensor that resolves the signal. Living Optics gives you 96 bands at 30 fps — uniquely, snapshot rather than line-scan, so the cube is captured even on moving targets.
Cost — the part nobody states publicly
Indicative SGD pricing for the kit (hardware + first-year software):
- Multispectral starter (RedEdge-P + DLS 2 + CRP + PIX4Dfields): SGD low five-figures.
- Multispectral all-in-one (Altum-PT thermal + multispectral + pan + PIX4Dfields + Mapper): SGD mid five-figures.
- Hyperspectral research (Living Optics SpectralCamera + SDK): SGD high-five to low-six figures.
- Hyperspectral production (above + Jetson edge compute + custom-trained model): often SGD low-six figures.
The 10× cost difference is real and it tracks the underlying optics — a hyperspectral image cube has 20× the data per pixel, captured by far more sophisticated sensor hardware.
A practical decision tree
- What is the target signal you need to detect?
- Does it sit cleanly inside one of the standard vegetation indices? If yes → multispectral.
- Does the signal require narrow, contiguous spectral information? If yes → hyperspectral.
- Are you trying to discriminate materials that look similar to the human eye? If yes → hyperspectral.
- Is your budget genuinely capital-grade (six-figure)? If no → multispectral with the option to upgrade later.
Easepect supplies both
Easepect is the authorised reseller for MicaSense in Singapore (RedEdge-P, RedEdge-P Dual, Altum-PT) and the authorised reseller for Living Optics. We will tell you honestly when multispectral is the better-value pick — most of the time it is. We will also build you a hyperspectral pipeline when the application genuinely needs it. Get a quote.