Snow Optics – Spectral reflectance behaviour of fresh, pure snow In remote sensing of cryosphere, how does the reflectance of fresh and pure snow vary across the spectrum (visible, near-IR, and longer wavelengths)?
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AIt is very high in the visible region
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BIt falls off steeply in the near-IR region
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CIt remains low at longer wavelengths
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DAll of these
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ENone of these
Answer
Correct Answer: All of these
Explanation
Introduction / Context:Fresh, clean snow has a distinctive spectral signature that underpins snow mapping, albedo estimation, and melt monitoring from satellites. Understanding how reflectance changes from the visible through the near-infrared (near-IR) into the shortwave and thermal infrared helps choose optimal bands and interpret seasonal trends in cryospheric products.
Given Data / Assumptions:
- Target: fresh, pure (clean) snow with small grain size.
- Spectral regions: visible (~0.4–0.7 μm), near-IR (~0.7–1.3 μm), and longer wavelengths (shortwave IR >1.4 μm to thermal IR).
- Typical solar-reflective remote sensing conditions.
Concept / Approach:Snow's high visible reflectance arises from multiple scattering by air–ice interfaces in fine grains. As wavelength increases into the near-IR, ice absorption increases, reducing reflectance. In the shortwave IR beyond ~1.4 μm, strong absorption bands make reflectance low; thermal IR is governed by emission rather than reflection.
Step-by-Step Solution:Visible: strong multiple scattering ⇒ high reflectance (bright snow).Near-IR: increasing ice absorption coefficient ⇒ reflectance decreases rapidly.Longer wavelengths (SWIR/TIR): strong absorption and thermal emission dominance ⇒ low apparent reflectance.
Verification / Alternative check:Common snow indices (e.g., using a green/near-IR or red/SWIR contrast) exploit snow's bright-in-visible, dark-in-SWIR behaviour for robust discrimination from clouds/soil.
Why Other Options Are Wrong:
- a, b, c each describe a correct portion of the spectrum; hence the combined choice “All of these” is correct.
- “None of these” contradicts established snow spectra.
Common Pitfalls:Confusing dirty/old snow (lower visible reflectance) with fresh snow, or assuming near-IR stays high like vegetation; in snow it falls markedly.
Final Answer:All of these