My student recently defended her thesis on ionospheric influence on SAR interferometry (InSAR). The problem was a possibility of significant ionospheric influence on space-borne InSAR at low frequencies (P-band) used in forest monitoring, for example. Here’s a few musings on the modeling of the problem. Obviously, this post will go to the scientific section… ;)

This will be exercise in my presentation skills… ;) Great possibilities of a free vector graphics program InkScape inspired me to be more “picture oriented…” ;) This post will need several revisions before it’s correct. Don’t take anything written here for granted!

Problem

Consider the following picture: single-satellite configuration

A space-borne SAR makes a range measurement. The pulses will arrive at times \tau ' and \tau '', respectively. Ionosphere induces an extra delay that can be converted to an extra range increment r={\rm f}(\theta). Note that time and range are related via the constant 2/c. Consider a linear approximation

r_m' = a_o + a_1\theta_m'

First, let’s suppose that r(\theta) is a slowly varying function. Then,

r_m'' = a_o + a_1\theta_m''.

What happens during the interferometric processing is that the first point is shifted in to time t=0 and it is associated with a reference range R_1. That means, the only information about ionospheric influence we have is in the time distance between the two points:

\tau '- \tau '' = 2/c\left[R_m'-R_m''+ a_1(\theta_m'- \theta_m'')\right]

The phase used for interferometry should be

\phi_m = 4\pi/c\left[R_1 + R_m'-R_m''+ a_1(\theta_m'- \theta_m'')\right].

…and here comes the task: Suppose we add a second (slave) satellite (see the picture here). What will the calculation of \phi_s look like? And what about the complete model for hight determination?

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