iono_statmodel_final-meyer.ppt

F.J Meyer 1) 2) , B. Watkins 3) 1) Earth & Planetary Remote Sensing, University of Alaska Fairbanks 2) Alaska Satellite Facility (ASF) 3) Space Physics and Aeronomy, University of Alaska Fairbanks A STATISTICAL MODEL OF IONOSPHERIC SIGNALS IN LOW-FREQUENCY SAR DATA Collaborating Organizations:

Ionospheric Artifacts in Radar Data What Do They Look Like? Equatorial Regions Polar Regions Phase Distortions

Ionospheric Artifacts in Radar Data What Do They Look Like? Rainforest, Brazil Image Distortions South-East Asia  [dB] Distance along profile [m] -7 -9 -11 5000 10000 15000

Ionospheric Distortions – How to Fix Them? ,[object Object],[object Object],[object Object],[object Object],-> Image correction & creation of ionospheric maps TEC = Total Electron Content of Ionosphere Phase Distortions Image Distortions Measure these! Invert for these!

[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Power Law Model of Ionospheric Turbulence

Power Law Model of Ionospheric Turbulence ,[object Object],[object Object],[object Object],-> Basis for signal analysis, statistical modeling, signal representation, and simulation

[object Object],[object Object],[object Object],Predicting Ionospheric Power Spectra Power Spectra

[object Object],IP-STATS: A System for Describing and Simulating the Ionosphere Power Spectra Covariance Function Covariance Matrix Signal Simulation

Relationship between Power Spectrum, Covariance Matrix, and Simulated Phase Screen Spectral power: 2.9 rad 2 ; Spectral Slope: 2.7 Covariance Matrix Phase Simulation Location: Alaska Date: 4/1/07 Spectral power: 2.9 rad 2 ; Spectral Slope: 3.7 Covariance Matrix Phase Simulation

Significance ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

[object Object],[object Object],Simulating Ionospheric Conditions for a 10-Year Time Series of SAR Acquisitions over the North Slope of Alaska Test Site Geophysical Input Parameters Statistical Ionospheric Descriptors Sample Covariance Function Sample Covariance Matrix Sample Phase Simulation

Validation of IP-STATS in Polar Regions ,[object Object],[object Object],[object Object],[object Object],[object Object], Signal Variance  (  ) Covariance C (r) Faraday Rotation from Full-Pol SAR

Validation of IP-STATS in Polar Regions ,[object Object],Model Prediction Measured Signal Variance At High Latitudes: Predicted and Measured Signal Variance Matches Well!! Case Study 1: Turbulent Ionosphere Case Study 2: Quiet Ionosphere

[object Object],[object Object],[object Object],Validation of IP-STATS in Polar Regions At High Latitudes: Predicted and Measured Covariance Functions match reasonably well! Orbit: 6305; Frame: 1330 Orbit: 6305; Frame: 1390

[object Object],[object Object],[object Object],[object Object],[object Object],Conclusions PALSAR Interferogram Amazon area, Ionospheric Disturbances

[object Object],[object Object],[object Object],[object Object],[object Object],Acknowledgments: PALSAR Interferogram Amazon area, Ionospheric Disturbances

Open Three Year PhD Position starting fall 2011 / spring 2012 for a radar remote sensing research project at the Geophysical Institute of the University of Alaska Fairbanks on Theoretical Investigations into the Impact and Mitigation of Ionospheric Effects on Low-Frequency SAR and InSAR Data ,[object Object],[object Object],[object Object],[object Object],More information: Dr. Franz Meyer ( [email_address] ) and at: www.insar.alaska.edu

iono_statmodel_final-meyer.ppt

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iono_statmodel_final-meyer.ppt