Uncertainties of Satellite-Derived Coastal Water Quality Products

Monitoring coastal water quality is important and the sea surface temperature is one of the key parameters of water quality. It plays a significant role in studying climate change and oceanic environmental processes. SST has always been measured with buoys and thermometers in the field and by remote sensing. The use of remotely sensed SST is significantly more common for mapping SST with a wider area and at high temporal resolution. Remotely sensed SST, however, may reveal uncertainties due to factors such as water depth and turbidity. This is in addition to the atmospheric effects, such as dust, fog, wind, solar angles, and humidity. Thus, remote sensing SST estimation is compared to the measured in-situ SST for the Arabian Gulf waters, and the critical atmospheric and oceanic variables contributing to the errors are identified.


02 Mar 2022


10:00 am - 11:00 am




  • Dr Maryam R. Al Shehhi
    Dr Maryam R. Al Shehhi
    Assistant Professor at Civil, Infrastructure, and Environmental Engineering at Khalifa University, UAE

    Dr Maryam R. Al Shehhi is an Assistant Professor in the Department of Civil, Infrastructure, and Environmental Engineering at Khalifa University and a member of the Khalifa University Space Technology and Innovation Center (KUSTIC). Before joining Khalifa University, she has worked as a postdoctoral researcher at the world’s leading university, Massachusetts Institute of Technology (MIT). Dr. Al Shehhi has been working in several projects with international and local environmental agencies. One of the recent projects she works on is utilizing satellite-derived IOPs to model water quality in the Arabian Gulf. Her scientific findings have been published in more than 20 research articles in reputable journals.