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Updated: May 9, 2026

Surface Renewal: An Advanced Micrometeorological Method for Measuring and Processing Field-Scale Energy Flux Density Data
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Published on: December 12, 2013

[The research on remote sensing dust aerosol by using split window emissivity].

Hui Xu1, Tao Yu, Xing-Fa Gu

  • 1State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing 100101, China. xuhui@irsa.ac.cn

Guang Pu Xue Yu Guang Pu Fen Xi = Guang Pu
|August 3, 2013
PubMed
Summary

Dust aerosols alter land surface emissivity, impacting climate. A new method effectively identifies dust using 11-micrometer relative emissivity variations, aiding dust storm monitoring.

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Last Updated: May 9, 2026

Surface Renewal: An Advanced Micrometeorological Method for Measuring and Processing Field-Scale Energy Flux Density Data
09:55

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Split Point Analysis and Uncertainty Quantification of Thermal-Optical Organic/Elemental Carbon Measurements
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Split Point Analysis and Uncertainty Quantification of Thermal-Optical Organic/Elemental Carbon Measurements

Published on: September 7, 2019

Area of Science:

  • Atmospheric Science
  • Remote Sensing
  • Radiative Transfer

Context:

  • Dust aerosols significantly influence Earth's radiative forcing (RF).
  • Changes in land surface emissivity are crucial for accurate climate modeling.
  • Split-window channels are sensitive to atmospheric and surface properties.

Purpose:

  • To investigate the extinction properties of dust aerosols in the 11 and 12 micrometer channels.
  • To propose and validate a novel dust identification method based on emissivity variations.
  • To analyze the impact of dust aerosols on land surface emissivity.

Summary:

  • Microscopic analysis details dust aerosol extinction in 11 and 12 micrometer channels and its effect on land surface emissivity.
  • A strong sandstorm in Inner Mongolia on April 29, 2011, was used to develop a dust identification method based on emissivity changes.
  • The method, assuming 12 micrometer emissivity equals 1, effectively identifies dust cover using 11 micrometer relative emissivity, which also indicates dust intensity.

Impact:

  • Provides an effective method for dust cover identification and intensity estimation.
  • Enhances the accuracy of satellite-based dust storm monitoring.
  • Contributes to a better understanding of dust aerosol-radiation interactions.