A sediment detection analysis with multi sensor satellites: Caspian sea and persian gulf case studies

Nowadays the use of multi sensor satellite data for developing and mapping the distribution of suspended particulates in coastal area, sea and ocean waters is increasing in many sciences including environmental and marine studies. This study focuses on using remote sensing satellite images to monitor and detect Suspended Sediment (SS) event of coastal areas. MODIS (or Moderate Resolution Imaging Spectroradiometer)-Terra satellite sensor data (9 Jun 2018) of the east coast of Caspian Sea (between Turkmenistan and Iran) and the north-western of Persian Gulf (between Iran, Iraq, Kuwait) were used. For detecting Suspended Sediments Event (SSE) low-spatial resolution (250-1000m) sea and ocean color satellites data can be used. Multi-spectral sensor satellite images over the Caspian Sea and Persian Gulf have been analyzed to detect, to characterize and to classify suspended sediments in this part. Moreover, this paper discusses suspended sediments detection by using multi sensor satellite images and spectrum matching has been used to identify the sediments areas. In particular through the spectrum matching the direct identification of specific materials has been carried out via the extraction of the specific spectral features. ENVI software has been used to carry out the analysis. Using this software, the suspended sediments close to the coastal area have been successfully detected.