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Detection of Sand Dust Storm on MODIS Images Processing


Affiliations
1 Department of Forestry, Tarbiat Modares University, Teheran, Iran, Islamic Republic of
2 Department of Water Resources, Khaje Nasir Toosi University of Technology, Teheran, Iran, Islamic Republic of
 

Over the past decade, dust storms have increased in Iran. Remote control for spatial and temporal coverage, can provide a valuable source for the study of dust. In this study, levels of dust on the surface of the Golestan province in July 2013, using spectrophotometric sensor data imaging radiometer moderate resolution (MODIS) were estimated. For this purpose, according to the difference between the 13.2 micrometer signal band and 0.469 micrometer band that distincts between the sand dust storms (SDS) and clouds of ice or water, to make a good show and also the normalized differential dust index (NDDI), was used to estimate the amounts of sand and dust storms. To determine the dust aircraft and ground brightness temperature of (BT) 31 MODIS bands (28. 11-78.10 micrometers) were studied. The results showed more dust in the north and some parts of east and south region has higher values. Maximum dust in the barren land (0.336) and the lowest amount of dust in the agricultural lands (0.112) and forest (0.158) was observed. The numerical values of dust in the water bodies were negative.

Keywords

Sand And Dust Storms, Normalized Difference Dust, Index (NDDI), MODIS, Golestan Province.
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  • Detection of Sand Dust Storm on MODIS Images Processing

Abstract Views: 168  |  PDF Views: 4

Authors

Saeid Varamesh
Department of Forestry, Tarbiat Modares University, Teheran, Iran, Islamic Republic of
Seyyed Mohsen Hosseini
Department of Forestry, Tarbiat Modares University, Teheran, Iran, Islamic Republic of
Madjid Rahimzadegan
Department of Water Resources, Khaje Nasir Toosi University of Technology, Teheran, Iran, Islamic Republic of

Abstract


Over the past decade, dust storms have increased in Iran. Remote control for spatial and temporal coverage, can provide a valuable source for the study of dust. In this study, levels of dust on the surface of the Golestan province in July 2013, using spectrophotometric sensor data imaging radiometer moderate resolution (MODIS) were estimated. For this purpose, according to the difference between the 13.2 micrometer signal band and 0.469 micrometer band that distincts between the sand dust storms (SDS) and clouds of ice or water, to make a good show and also the normalized differential dust index (NDDI), was used to estimate the amounts of sand and dust storms. To determine the dust aircraft and ground brightness temperature of (BT) 31 MODIS bands (28. 11-78.10 micrometers) were studied. The results showed more dust in the north and some parts of east and south region has higher values. Maximum dust in the barren land (0.336) and the lowest amount of dust in the agricultural lands (0.112) and forest (0.158) was observed. The numerical values of dust in the water bodies were negative.

Keywords


Sand And Dust Storms, Normalized Difference Dust, Index (NDDI), MODIS, Golestan Province.

References