DocumentCode
796481
Title
Asian Dust Storm Monitoring Combining Terra and Aqua MODIS SRB Measurements
Author
Qu, John J. ; Hao, Xianjun ; Kafatos, Menas ; Wang, Lingli
Author_Institution
NASA Goddard Space Flight Center, Greenbelt, MD
Volume
3
Issue
4
fYear
2006
Firstpage
484
Lastpage
486
Abstract
Sand and dust storms (SDSs), which present environmental risks and affect the regional climate, have been worsened in the East Asian regions over the last decade. Monitoring SDS from space using satellite remote sensing (RS) has become one of the most important issues in this field. At present, satellite RS of SDS is limited to using true-color images or aerosol optical thickness (AOT), or a new algorithm called "Deep Blue". Using current existing approaches makes it difficult to identify SDS from clouds. The authors have detected SDS by combining Terra and Aqua Moderate Resolution Imaging Spectroradiometer (MODIS) solar reflectance band (SRB) measurements. Based on the dust spectral characteristic, this letter proposes a normalized difference dust index (NDDI) using MODIS reflectance measurements and applies it to the Asian SDS cases. The simple NDDI index is found to be able to identify SDS and clouds easily. The results suggest that NDDI could be used to detect SDS over bright surfaces where the MODIS AOT product is not available
Keywords
aerosols; dust; radiometry; reflectivity; remote sensing; sand; storms; Aqua MODIS SRB measurements; Asian dust storm monitoring; East Asia; MODIS solar reflectance band measurements; Moderate Resolution Imaging Spectroradiometer; NDDI; Terra MODIS SRB measurements; aerosol; environmental risks; normalized difference dust index; regional climate; sand storms; satellite remote sensing; Aerosols; MODIS; Monitoring; Optical sensors; Pollution measurement; Reflectivity; Satellites; Sea measurements; Sea surface; Storms; Aerosol; Asian; Moderate Resolution Imaging Spectroradiometer (MODIS); Terra and Aqua; normalized difference dust index (NDDI); sand and dust storm (SDS); satellite remote sensing (RS);
fLanguage
English
Journal_Title
Geoscience and Remote Sensing Letters, IEEE
Publisher
ieee
ISSN
1545-598X
Type
jour
DOI
10.1109/LGRS.2006.877752
Filename
1715300
Link To Document