Sea Ice Remote Sensing and Oil Experiments

As a team member, I was involved in one of the many projects at Sea-ice Environmental Research Facility (SERF) at UofM.

In this project, we monitored sea ice growth and the effects of oil contamination on the Normalized Radar Cross-Section (NRCS).

For monitoring purposes, we utilized different types of technologies including LiDar, L-band and C-band Scatterometers, Air temperature, and drones.

I was involved in the following activities:

Collecting data from the scatterometers (C-band and L-band Radars) on top of the scaffold.
Extracting ice cores for dielectric modeling purposes.
Dielectric measurement of oil-contaminated taken samples from the SERF experiment.
Running NRCS backscattering simulations for dielectric modeling purposes.

The outcomes of this project were three conference papers (such as IEEE ANTEM and IEEE APS/URSI) and two manuscripts (IEEE Transactions on Geoscience and Remote Sensing). You can find the papers in my Google Scholar.

Ice monitoring and data collection