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May 13, 2026Remote SensingOpen Access

A Continuous Cryosphere Index for Snow and Ice Reflectance

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Authors

CSChristopher Small

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Overview

Optimized spectral feature space analysis reveals snow and ice composition using imaging spectrometers, indicating CCI's potential for remote sensing applications.

Key Points

  • To characterize the reflectance continuum of snow and ice using a large dataset of spectral measurements.
  • Utilized ~140,000,000 VSWIR reflectance spectra from 56 cryospheric environments.
  • Applied linear dimensionality reduction to analyze spectral feature space characteristics.
  • Developed an optimal normalized difference index for distinguishing snow and ice types.
  • Characterization of a two-dimensional spectral feature continuum for snow and ice.
  • Demonstrated that the Continuous Cryosphere Index minimizes BRDF effects compared to existing indices.
  • Proposed CCI can leverage operational sensors for effective snow and ice mapping.

Cite This Study

Christopher Small (2026) studied this question.

synapsesocial.com/papers/6a03cbe01c527af8f1ecfaadhttps://doi.org/10.3390/rs18101505
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