Uncertainties in Oceanic Microwave Remote Sensing: The Radar Footprint, the Wind-Backscatter Relationship, and the Measurement Probability Density Function

Uncertainties in Oceanic Microwave Remote Sensing: The Radar Footprint, the Wind-Backscatter Relationship, and the Measurement Probability Density Function

Oceanic microwave remote sensing provides the data necessary for the estimation of significant geophysical parameters such as the near-surface vector wind. To obtain accurate estimates, a precise understanding of the measurements is critical. This work clarifies and quantifies specific uncertainties...

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Bibliographic Details
Main Author: Johnson, Paul E.
Format: Others
Published: BYU ScholarsArchive 2003
Subjects:
microwave remote sensing
scatterometry
Cramer-Rao
periodogram
power spectrum estimation
NSCAT
NASA Scatterometer
wind modeling error
air-sea interaction
radar backscatter
Electrical and Computer Engineering
Online Access:https://scholarsarchive.byu.edu/etd/71
https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=1070&context=etd

Internet

https://scholarsarchive.byu.edu/etd/71
https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=1070&context=etd

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