Retrieving Aerosol Optical Depth over Land from Landsat-8 Satellite Images with the Aid of Cloud Shadows

被引：0

作者：

Zhu, Jingmiao ^{[1
,2
]}

Qiao, Congcong ^{[1
,3
]}

Duan, Minzheng ^{[1
,3
]}

机构：

[1] Chinese Acad Sci, Inst Atmospher & Phys, Beijing 100029, Peoples R China

[2] Lanzhou Univ, Sch Math & Stat, Lanzhou 730000, Peoples R China

[3] Univ Chinese Acad Sci, Coll Earth & Planetary Sci, Beijing 100049, Peoples R China

来源：

REMOTE SENSING | 2025年 / 17卷 / 02期

基金：

中国国家自然科学基金;

关键词：

aerosol; optical depth; cloud shadow; DISCRETE-ORDINATE-METHOD; TROPOSPHERIC AEROSOL; ALGORITHM; MISSION; SCATTERING; POLLUTION; NETWORK; AERONET; IMPACT; POLARIZATION;

D O I：

10.3390/rs17020176

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Clouds and their shadows can be clearly identified from high-spatial-resolution satellite images, such as those provided by Landsat-8/9 with a spatial resolution of approximately 30 m and Sentinel-2 with a spatial resolution of around 20 m. Consequently, the difference between satellite measurements over cloud-shadowed and nearby illuminated pixels can be used to derive the aerosol optical depth (AOD), even in the absence of detailed surface optical properties. Based on this assumption, an algorithm for AOD retrieval over land is developed and tested using Landsat-8/9 images containing scattered clouds over Xuzhou, China, and Dalanzadgad, Mongolia. The retrieved AODs are compared against MODIS and ground-based sun photometer measurements. The findings reveal that, in cloudy regions, over 90% of the discrepancies between the AODs retrieved using the cloud-shadow method and ground-based measurements fall within 0.05 +/- 0.20 AOD. This cloud-shadow algorithm represents a valuable complement to existing satellite aerosol retrieval methods, particularly in sparsely cloud-covered areas.

引用

页数：18