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Related Experiment Video

Updated: Jun 17, 2026

The Use of High-resolution Infrared Thermography (HRIT) for the Study of Ice Nucleation and Ice Propagation in Plants

The Use of High-resolution Infrared Thermography (HRIT) for the Study of Ice Nucleation and Ice Propagation in Plants

Published on: May 8, 2015

Infrared reflectance of high altitude clouds.

W A Hovis, L R Blaine, M L Forman

|January 16, 2010

Summary

Spectral reflectance differences were found between ice clouds, jet contrails, and snow. These findings aid in remote sensing of cloud types from satellites.

Area of Science:

Atmospheric Science
Remote Sensing
Spectroscopy

Background:

Accurate identification of cloud types is crucial for climate modeling and weather forecasting.
Distinguishing between natural ice clouds, artificial contrails, and surface features is challenging for satellite remote sensing.

Purpose of the Study:

To investigate the spectral reflectance characteristics of cirrostratus, cirrus clouds, and jet contrails.
To determine if spectral signatures can differentiate between natural ice clouds, fresh jet contrails, and snow-covered surfaces.

Main Methods:

Spectral reflectance measurements were conducted using a down-looking spectrometer.
Data acquisition was performed from a high-altitude aircraft platform.
The spectral interval of interest was 0.68–2.4 micrometers.

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Last Updated: Jun 17, 2026

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Main Results:

Distinct spectral reflectance signatures were observed for cirrostratus, cirrus clouds, and jet contrails.
Significant differences were identified between the spectral signatures of ice clouds and a fresh jet contrail.
The spectral data also showed clear distinctions between these cloud types and a snow-covered surface.

Conclusions:

Spectral reflectance analysis provides a viable method for differentiating between various ice cloud types and jet contrails.
These findings support the development of improved algorithms for cloud type classification in satellite remote sensing.
Understanding these spectral differences is essential for accurate atmospheric and climate studies.