Quantitative method study of sand-dust information using Terra/MODIS data

Haiping Li; Liya Xiong; Dafang Zhuang

doi:10.1117/12.465459

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14 July 2003 Quantitative method study of sand-dust information using Terra/MODIS data

Haiping Li, Liya Xiong, Dafang Zhuang

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Proceedings Volume 4890, Ecosystems Dynamics, Ecosystem-Society Interactions, and Remote Sensing Applications for Semi-Arid and Arid Land; (2003) https://doi.org/10.1117/12.465459
Event: Third International Asia-Pacific Environmental Remote Sensing Remote Sensing of the Atmosphere, Ocean, Environment, and Space, 2002, Hangzhou, China

Abstract

With the successful launching of the new generation satellite of EOS Terra, its Moderate Resolution Imaging Spectroradiometer (MODIS) data has more advantages in comprehensive research of land, ocean and atmosphere. ALso it can be used in disaster monitoring and losing assessment. This article focuses on the discussion of using Terra/MODIS data to study sand-dust information quantitative retrieval method. The conclusion is that MODIS data can be used to study the quantitative retrieval of sand-dust information and the study scenario has certain feasibility. The study contains of selecting the characteristic spectrum bands of sand-dust information; separating sand-dust information from the background and enhancing the weak information of floating dust, raising dust, etc. Theory basis of quantitative retrieval method are remote sensing quantitative method, atmosphere radiative transforming and visibility theories. Data pre-processing is also necessary. Retrieving of sand-dust aerosol optic thickness is more difficult and also the key problem to resolve. Case study is necessary and should be used to support the quantitative method. The study can provide the theory basis and technique support for sand-dust disaster forecasting monitoring and preventing.

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Haiping Li, Liya Xiong, and Dafang Zhuang "Quantitative method study of sand-dust information using Terra/MODIS data", Proc. SPIE 4890, Ecosystems Dynamics, Ecosystem-Society Interactions, and Remote Sensing Applications for Semi-Arid and Arid Land, (14 July 2003); https://doi.org/10.1117/12.465459

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