Measurement error in reflectance data and its implications for regularizing the variogram
作者:
P. M. ATKINSON,
R. DUNN,
A. R. HARRISON,
期刊:
International Journal of Remote Sensing
(Taylor Available online 1996)
卷期:
Volume 17,
issue 18
页码: 3735-3750
ISSN:0143-1161
年代: 1996
DOI:10.1080/01431169608949181
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
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 zeroyv(0++ ) is likely to be some positive value due solely to the error in measuring reflectance. We recommend that where possibleyv(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 denotedyvME, IFyvis 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.
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