The brightness temperature adjusted dust index: An improved approach to detect dust storms using MODIS imagery |
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| Institution: | 1. Institute of Physics and Electronics, University of Peshawar, Khyber Pakhtunkhwa, Pakistan;2. German Aerospace Centre, Remote Sensing Technology Institute, Oberpfaffenhofen, 82234 Wessling, Germany;3. Department of Geoinformatics Z_GIS, University of Salzburg, Hellbrunner Strasse 34, 5020 Salzburg, Austria;4. Government Post graduate College, Swabi, KPK, Pakistan |
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| Abstract: | Moderate Resolution Imaging Spectroradiometer (MODIS) imagery provides a good data source for timely and accurate monitoring of dust storms. However, effective MODIS-based dust indices are inadequate. In this study, we proposed an improved brightness temperature adjusted dust index (BADI) by integrating the brightness temperatures of three thermal infrared MODIS bands: band20 (3.66–3.84 μm), band31 (10.78–11.28 μm) and band32 (11.77–12.27 μm). We used the BADI to monitor several representative dust storms over the Northeast Asia between 2000 and 2011. When compared to commonly used MODIS-based dust indices, such as the brightness temperature difference index in band32 and band31 (BTD32-31) and the normalized difference dust index (NDDI), the BADI captured the spatial extent and density of dust storms more accurately. The BADI detected dust storm extent with an overall accuracy >90%, which was 7% and 29% higher than the results derived from BTD32-31 and NDDI, respectively. The BADI also demonstrated good agreement with the density indicator of MODIS Deep Blue Aerosol Optical Depth (R2 = 0.59, P < 0.01). We suggest that the BADI is an effective tool to monitor large-scale dust storms. |
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| Keywords: | Dust storms MODIS BADI Northeast Asia |
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