mc
short answer
essay
Prompt
[MANDATORY] Hyperspectral remote sensing — definition + example sensor + orbit altitude + band count.
Plain English answer (default view) — what you'd actually write on the test
Imagine taking a photo with **hundreds of really narrow color filters** all at once. Each pixel becomes a full *rainbow signature* of whatever's at that spot. That signature is unique enough to identify **specific minerals**, **specific plant species**, or **pollutants** — things that look identical with a normal camera but have distinct fingerprints when you slice the spectrum thinly enough. The classic example is **Hyperion** on the EO-1 satellite — used in mining, agriculture, and pollution monitoring.
🔬 Technical version / model bullets (revealed on click) — one bullet per line
Collects data in hundreds of narrow (5–10 nm) contiguous bands, producing a full reflectance spectrum per pixel. Used to identify specific minerals, vegetation species, and pollutants via spectral matching. Example: Hyperion on EO-1 — 220 bands, 0.4–2.5 µm, 30 m, 705 km orbit. Trade-off: massive data volumes, low SNR per band → redundancy reduced via PCA / MNF before classification.
💡 Mnemonic / memory aid (shown on hover)
Cancel