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Related Experiment Video

Updated: Mar 21, 2026

Near-Infrared Temperature Measurement Technique for Water Surrounding an Induction-heated Small Magnetic Sphere
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Retrieving Land Surface Temperature from Hyperspectral Thermal Infrared Data Using a Multi-Channel Method.

Xinke Zhong1, Xing Huo2, Chao Ren3

  • 1ICube, UdS, CNRS, 300 Bld Sebastien Brant, CS10413, Illkirch 67412, France. x.zhong@unistra.fr.

Sensors (Basel, Switzerland)
|May 18, 2016
PubMed
Summary
This summary is machine-generated.

This study introduces an adapted multi-channel method to accurately retrieve Land Surface Temperature (LST) from hyperspectral thermal infrared data. The method considers Land Surface Emissivity (LSE) and achieves high accuracy for climate monitoring.

Keywords:
hyperspectral thermal infraredland surface emissivityland surface temperaturemulti-channel method

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Area of Science:

  • Earth Science
  • Atmospheric Science
  • Remote Sensing

Background:

  • Land Surface Temperature (LST) is crucial for climate system analysis.
  • Existing LST retrieval methods from hyperspectral thermal infrared data have limitations, requiring either precise atmospheric data or numerous channels.

Purpose of the Study:

  • To develop and evaluate an adapted multi-channel method for retrieving LST from hyperspectral thermal infrared data.
  • To properly account for Land Surface Emissivity (LSE) in the LST retrieval process for natural land surfaces.

Main Methods:

  • An adapted multi-channel approach was developed, utilizing 36 brightness temperatures at Top of Atmosphere (TOA).
  • The method employs channels with high Land Surface Emissivity (LSE) values for LST retrieval.
  • Validation was performed using simulated nadir data and near-nadir satellite data from the Infrared Atmospheric Sounding Interferometer (IASI).

Main Results:

  • The adapted method achieved a Root Mean Square Error (RMSE) of 0.90 K for simulated data.
  • Comparison with the Spinning Enhanced Visible and Infrared Imager (SEVIRI) showed an LST retrieval error of approximately 1.6 K.
  • The method demonstrates potential for near-real-time LST product generation and simultaneous retrieval of atmospheric profiles, LST, and LSE.

Conclusions:

  • The adapted multi-channel method offers an effective way to retrieve LST from hyperspectral thermal infrared data, considering LSE.
  • The method shows promising accuracy and potential for operational LST monitoring and coupled atmospheric and surface parameter retrieval.
  • Limitations include a minimum LSE requirement and lack of off-nadir measurement capability.