Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.3390/rs11151772 |
Dust Storm Remote Sensing Monitoring Supported by MODIS Land Surface Reflectance Database | |
Sun, Ke1; Su, Qinghua2,3; Ming, Yanfang3 | |
通讯作者 | Su, Qinghua |
来源期刊 | REMOTE SENSING
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EISSN | 2072-4292 |
出版年 | 2019 |
卷号 | 11期号:15 |
英文摘要 | MODIS (Moderate Resolution Imaging Spectroradiometer) land product subsets can provide high-quality prior knowledge for the quantitative inversion of land and atmospheric parameters. Using the LSR (Land Surface Reflectance) dataset, dust storm remote sensing monitoring in this study was carried out via quality control and data synthesis. A dynamic threshold supported dust storm monitoring method was proposed based on a monthly synthesized LSR database, which is produced using MOD09A1 data. The apparent reflectance of clear-pixels with different atmospheric conditions was simulated by the radiative transfer model. A pixel can be identified as a dust pixel if the apparent reflectance is larger than that of the simulated data. The proposed method was applied to the monitoring of four dust storms, the results of which were evaluated and analyzed via visual interpretation, MICAPS (Meteorological Information Comprehensive Analysis and Process System), and the OMI AI (Ozone Monitoring Instrument Aerosol Index) with the following conclusions: the dust storm monitoring results showed that most of the dust areas could be accurately detected when compared with the true color composite images, and the dust monitoring results agreed well with the MICAPS observation station data and the OMI AI dust products. |
英文关键词 | LSR database dust storms dynamic threshold remote sensing |
类型 | Article |
语种 | 英语 |
国家 | Peoples R China |
开放获取类型 | gold |
收录类别 | SCI-E |
WOS记录号 | WOS:000482442800036 |
WOS关键词 | AEROSOL OPTICAL-THICKNESS ; DESERT DUST ; SATELLITE ; CHINA ; RETRIEVAL ; PRODUCTS ; INDEX |
WOS类目 | Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology |
WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/218400 |
作者单位 | 1.China Earthquake Adm, Inst Earthquake Forecasting, Beijing 100036, Peoples R China; 2.Qufu Normal Univ, Sch Geog & Tourism, Qufu 273165, Peoples R China; 3.Shandong Univ Sci & Technol, Geomat Coll, Qingdao 266590, Shandong, Peoples R China |
推荐引用方式 GB/T 7714 | Sun, Ke,Su, Qinghua,Ming, Yanfang. Dust Storm Remote Sensing Monitoring Supported by MODIS Land Surface Reflectance Database[J],2019,11(15). |
APA | Sun, Ke,Su, Qinghua,&Ming, Yanfang.(2019).Dust Storm Remote Sensing Monitoring Supported by MODIS Land Surface Reflectance Database.REMOTE SENSING,11(15). |
MLA | Sun, Ke,et al."Dust Storm Remote Sensing Monitoring Supported by MODIS Land Surface Reflectance Database".REMOTE SENSING 11.15(2019). |
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