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An Assessment of the SRTM Topographic Products - Jet Propulsion ...

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CHAPTER 1. OVERVIEW 24<br />

1.6.3 Cell and Subcell Relative Errors<br />

Under <strong>the</strong> assumption that <strong>the</strong> separation between two points is small enough so that long wavelength<br />

errors are identical for both points (as will be <strong>the</strong> case for <strong>the</strong> <strong>SRTM</strong> cells and subcells, by definition),<br />

<strong>the</strong> average (over <strong>the</strong> high frequency process, but not over <strong>the</strong> envelope) relative error variance can<br />

be written as <br />

(δh(x) − δh(x ′ )) 2<br />

≈ σ 2 (x) + σ 2 (x ′ ) − 2σ(x)σ(x ′ )C(|x − x ′ |) (1.16)<br />

and, if <strong>the</strong> separation between x and x ′ is greater than <strong>the</strong> correlation length, as will be <strong>the</strong> case for<br />

most points inside a cell or subcell, we have that<br />

<br />

(δh(x) − δh(x ′ )) 2<br />

≈ σ 2 (x) + σ 2 (x ′ ) (1.17)<br />

i.e., <strong>the</strong> relative error variance is <strong>the</strong> sum <strong>of</strong> <strong>the</strong> variances <strong>of</strong> <strong>the</strong> high frequency process. (Notice<br />

that this approximation is equivalent to assuming that <strong>the</strong> correlation function is a delta function).<br />

The average value <strong>of</strong> <strong>the</strong> relative error variance over a cell or subcell box is <strong>the</strong>n given by<br />

<br />

(δh(x) − δh(x ′ )) 2<br />

(1.18)<br />

B ≈ σ 2 (x) + σ 2 (x ′ ) <br />

B = 2 σ 2 (x) <br />

Making <strong>the</strong> same assumptions as for <strong>the</strong> absolute error, <strong>the</strong> 90% relative error over a cell or<br />

subcell is given by<br />

<br />

Relative Error = 1.64 2 〈σ2 (x)〉 B<br />

B<br />

(1.19)

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