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ORCID
N/A
Access Type
Open Access Thesis
Document Type
thesis
Degree Program
Electrical & Computer Engineering
Degree Type
Master of Science in Electrical and Computer Engineering (M.S.E.C.E.)
Year Degree Awarded
2019
Month Degree Awarded
February
Abstract
In Earth remote sensing precise characterization of the backscatter coefficient is important to extract valuable information about the observed target. A system that eliminates platform motion during near-nadir airborne observations is presented in this thesis, showing an improvement on the accuracy of measurements for a Ka- band scatterometer previously developed at Microwave Remote Sensing Laboratory (MIRSL). These very same results are used to simulate the reflectivity of such targets as seen from a spaceborne radar and estimate height errors based on mission-specific geometry. Finally, data collected from a dual-frequency airborne interferometer com- prised by the Ka-band system and an S-band radar is processed and analyzed to estimate forest heights.
DOI
https://doi.org/10.7275/13598116
First Advisor
Paul Robert Siqueira
Second Advisor
Stephen J. Frasier
Third Advisor
Weibo Gong
Recommended Citation
Masalias Huguet, Gerard, "InSAR Simulations for SWOT and Dual Frequency Processing for Topographic Measurements" (2019). Masters Theses. 747.
https://doi.org/10.7275/13598116
https://scholarworks.umass.edu/masters_theses_2/747
Included in
Aerospace Engineering Commons, Geophysics and Seismology Commons, Signal Processing Commons