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This article in SSSAJ

  1. Vol. 52 No. 1, p. 40-45
    Received: Nov 6, 1986

    * Corresponding author(s):
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Spatial Variability of Remotely Sensed Surface Temperatures at Field Scale

  1. S. R. Yates ,
  2. A. W. Warrick,
  3. A. D. Matthias and
  4. S. Musil
  1. U.S. Salinity Lab., USDA-ARS, Dep. of Soil and Environmental Sciences, Univ. of California, Riverside, CA 92521
    Dep. of Soil and Water Science, Univ. of Arizona, Tucson, AZ 85721



Bare soil surface temperatures (BST) and crop canopy temperatures (CCT) were collected from a 1-ha field in central Arizona using an infrared thermometer to determine whether they were spatially correlated. The measurements were taken from a two-dimensional random sampling pattern for selected dates and times to investigate the spatial and temporal distribution. Three measures of the correlation distance including two integral scales were calculated. Kriging, which produces the best linear unbiased estimator, was used to show the spatial pattern of the BST and CCT in the field on selected dates. The results indicate that the BST and CCT are spatially dependent random functions with integral scales that varied from 2 to 15 m for wet and dry conditions, respectively. The autocorrelation as the lagged distance approaches zero was greater than 0.4 except under wet soil conditions, where the autocorrelation for the CCT was found to be lower. The results are important because, to date, no geostatistical study has shown that the CCT is a spatially dependent random function.

Contribution from the Univ. of Arizona Agric. Exp. Stn., Tucson, Arizona Agric. Exp. Stn. Paper no. 4316.

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