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Attenuated Total Reflectance (ATR) Infrared Spectroscopy: Overview01:13

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Attenuated total reflectance (ATR) infrared spectroscopy is a powerful analytical technique used to study the composition of materials. It is widely employed in chemistry, materials science, forensic science, and other fields where sample characterization is required. ATR has several advantages over traditional transmission IR spectroscopy, including the requirement of little to no sample preparation and the ability to analyze a wide range of samples.
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Updated: Jun 9, 2026

Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy
07:13

Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy

Published on: February 25, 2021

Remote sensing of clouds by multispectral sensors.

B L Lindner, R G Isaacs

    Applied Optics
    |September 8, 2010
    PubMed
    Summary

    Future sensors can retrieve cloud properties like optical thickness, phase, and particle size using a novel multispectral minimization approach. This method leverages wavelength-dependent radiance, improving cloud remote sensing accuracy.

    Area of Science:

    • Atmospheric Science
    • Remote Sensing
    • Cloud Physics

    Background:

    • Accurate retrieval of cloud properties is crucial for climate modeling and weather forecasting.
    • Current remote sensing methods face challenges in precisely determining cloud optical thickness, phase, and particle size.

    Purpose of the Study:

    • To propose and advocate for a new multispectral minimization approach for retrieving cloud properties.
    • To enhance the accuracy of cloud optical thickness, phase, and particle size determination.

    Main Methods:

    • Utilizing the wavelength dependence of radiance, not just its magnitude.
    • Applying a multispectral minimization technique for data analysis.
    • Designing algorithms for future sensor applications.

    Related Experiment Videos

    Last Updated: Jun 9, 2026

    Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy
    07:13

    Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy

    Published on: February 25, 2021

    Main Results:

    • The proposed method offers a more robust way to retrieve cloud properties compared to traditional approaches.
    • Sensitivity analysis indicates improved accuracy in determining optical thickness, phase, and particle size.
    • The approach is suitable for implementation in future advanced remote sensing instruments.

    Conclusions:

    • The wavelength dependence of radiance provides a powerful observable for cloud property retrieval.
    • Multispectral minimization is a promising technique for advancing cloud remote sensing.
    • This approach will enable more precise characterization of clouds by future satellite missions.