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Measurement error in reflectance data and its implcations for regularizing the variogram

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<mark>Journal publication date</mark>1996
<mark>Journal</mark>International Journal of Remote Sensing
Issue number18
Volume17
Number of pages16
Pages (from-to)3735-3750
Publication StatusPublished
<mark>Original language</mark>English

Abstract

Measurement error is an important component of variation in most measured variables and also, therefore, in the sample variogram of field-based reflectance. The variogram of the underlying variation in reflectance is regularized and, therefore, must be continuous through the origin. The variogram of measurement error in reflectance, however, is unlikely to pass continuously through the origin. Therefore, the sample semivariance at a lag of just grealer than zeroy v(0++ ) is likely to be some positive value due solely to the error in measuring reflectance. We recommend that where possible y v(0++ ) should be computed by repeated measurement of reflectance al the same location, x, and over the same support, v. If repeated measurement is not possible then in certain circumstances the nugget variance of the variogram model may be used to estimate measurement error in the sample variogram denotedy v ME, IF y v is not estimated and measurement error is not separated from the underlying variation then geostatistical techniques that depend on yv( h) and which are currently being applied in remote sensing may be affected. We demonstrate these ideas with a simple example involving regularizing the variogram of the Normalized Difference Vegetation Index (NDVI) of a field of pasture measured with a field radiometer.