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Determination of aerosol type from multiband aerosol optical depth based on lookup table

  • role： First author第一作者
  • Affiliation：

    Geomatics College, Shandong University of Science and Technology, Qingdao 266590, China

  • Email：jiachen_1991@163.com
  • Introduction：贾臣(1991—　)，男，硕士研究生，主要研究方向为气溶胶遥感。E-mail：jiachen_1991@163.com
JIA Chen1,  
  • Affiliation：

    Geomatics College, Shandong University of Science and Technology, Qingdao 266590, China

SUN Lin1,  
  • Affiliation：

    Geomatics College, Shandong University of Science and Technology, Qingdao 266590, China

CHEN Yunfang1,  
  • Affiliation：

    Geomatics College, Shandong University of Science and Technology, Qingdao 266590, China

LYU Zhepeng2,  
  • Affiliation：

    Geomatics College, Shandong University of Science and Technology, Qingdao 266590, China

WEI Jing1,  
  • Affiliation：

    Geomatics College, Shandong University of Science and Technology, Qingdao 266590, China

YU Huiyong1,  
  • Affiliation：

    Geomatics College, Shandong University of Science and Technology, Qingdao 266590, China

TIAN Xinpeng1

Resümee

The high-precision determination of aerosol models is crucial for analyzing the environmental impact of aerosols and for the remote sensing of Aerosol Optical Depth (AOD). However, the determination of aerosol type remains difficult, hence severely restricting highly accurate AOD retrieval and the application of aerosol optical products in environmental monitoring. A high-precision method for estimating aerosol models is proposed in this paper. The determination of aerosol type plays a vital role in the analysis of aerosol optical properties and is also an essential part of highly accurate AOD retrieval. Conventional methods, which utilize aerosol optical properties to determine aerosol types, are based on the relationship between the AOD of a single band and different aerosol types. However, due to the complex absorption and scattering properties of aerosols, it is difficult to obtain highly accurate aerosol types from AOD data with a single band. Hence, multiband AODs were introduced to enhance the accuracy of determining aerosol types. None the less, the current methods for estimating aerosol types with multiband AODs are iterative with complex and slow calculation processes. A new method to determine aerosol type with multiband AOD data was proposed to overcome the existing difficulties of current methods. Aerosol type is determined based on a lookup table, which is built using the forward simulation of relations between the particle numbers of different aerosol types and multiband AOD data based on Mie scattering theory. AOD at the wavebands of 440, 670, 870, and 1020 nm are adopted to determine aerosol type. The method was used to estimate aerosol types with multiband AOD. To evaluate the effectiveness of the proposed method, multiband AODs are simulated and applied in the validation experiment. Dust, water-soluble, and soot aerosol types are estimated with high precision. The effects of multiband AOD error on aerosol type determination are also analyzed. Results show that the proposed method can determine aerosol types with high stability. Compared with the current real-time determination method of aerosol types, the approach proposed in this paper is fast and can be used to estimate aerosol type from pixel-scale satellite data with multiband AODs. Furthermore, this method can improve the inversion accuracy of aerosol optical thickness, as well as promote the application of aerosol optical products in environmental pollution monitoring.

Schlüsselwort

aerosol type;Aerosol Optical Depth (AOD);Mie-scattering;look-up table method

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