Inversion-based sensitivity analysis of snow-covered sea ice electromagnetic profiles

For the microwave remote sensing of snow-covered sea ice dielectric profiles, the sensitivity of the normalized radar cross-section data with respect to the complex permittivity and thickness values is investigated. Our results show that the data collected closer to the nadir in monostatic setups, a...

Full description

Bibliographic Details
Published in:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Main Authors: Firoozy, Nariman, Komarov, Alexander S., Landy, Jack, Barber, David G., Mojabi, Puyan, Scharien, Randall K.
Format: Article in Journal/Newspaper
Language:English
Published: 2015
Subjects:
Online Access:https://hdl.handle.net/1983/dab91961-d4d5-403f-801f-a85a8e8fc599
https://research-information.bris.ac.uk/en/publications/dab91961-d4d5-403f-801f-a85a8e8fc599
https://doi.org/10.1109/JSTARS.2015.2399651
http://www.scopus.com/inward/record.url?scp=84939553530&partnerID=8YFLogxK
Description
Summary:For the microwave remote sensing of snow-covered sea ice dielectric profiles, the sensitivity of the normalized radar cross-section data with respect to the complex permittivity and thickness values is investigated. Our results show that the data collected closer to the nadir in monostatic setups, and the data collected closer to the specular angle in bistatic setups represent higher sensitivity values. Using both synthetically and experimentally collected data sets, we demonstrate that the inversion of data sets having higher sensitivity values results in enhanced reconstruction accuracy.