Svoboda | Graniru | BBC Russia | Golosameriki | Facebook

Unlock your academic potential and expand your network by joining us!

Dr. K. Adem Ali

Share Link

Share

Information

My research focuses on developing satellite-based algorithms that can accurately retrieve biogeochemical constituents in optically complex aquatic environments. Aquatic sensing using satellite observations will increase our capacity to understand real-time aquatic processes at a wide variety of scales that will contribute to climate research. Moreover, the technology will enhance our capability to understand the role of marine primary production and dissolved organic carbon in the global carbon budget and the couplings between physical and biological processes. I have carried out comprehensive research on methodologies that can retrieve optical characteristics of the various biogeochemical constituents in optically complex aquatic environments including the Western Basin of Lake Erie and the coastal water of South Carolina. The developed satellite algorithms may be used by resource managers to monitor and quantify the physical and biological constituents of the Lake in real-time. One critical local application is monitoring the seasonal harmful algal blooms.

Short Biography

My research focuses on developing satellite-based algorithms that can accurately retrieve biogeochemical constituents in optically complex aquatic environments. Aquatic sensing using satellite observations will increase our capacity to understand real-time aquatic processes at a wide variety of scales that will contribute to climate research. Moreover, the technology will enhance our capability to understand the role of marine primary production and dissolved organic carbon in the global carbon budget and the couplings between physical and biological processes. I have carried out comprehensive research on methodologies that can retrieve optical characteristics of the various biogeochemical constituents in optically complex aquatic environments including the Western Basin of Lake Erie and the coastal water of South Carolina. The developed satellite algorithms may be used by resource managers to monitor and quantify the physical and biological constituents of the Lake in real-time. One critical local application is monitoring the seasonal harmful algal blooms.