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Published online 29 September 2005
Published in Soil Sci Soc Am J 69:1789-1798 (2005)
DOI: 10.2136/sssaj2005.0071
© 2005 Soil Science Society of America
677 S. Segoe Rd., Madison, WI 53711 USA
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IKONOS Imagery to Estimate Surface Soil Property Variability in Two Alabama Physiographies

Dana G. Sullivana,*, J. N. Shawb and D. Rickmanc

a USDA ARS Southeast Watershed Research Lab., P.O. Box 748, Tifton, GA 31794
b Dep. of Agronomy and Soils, Auburn University, 202 Funchess Hall, Auburn, AL 36849
c Global Hydrology and Climate Center, NSSTC/MSFC/NASA, 320 Sparkman Drive, Huntsville, AL 35805



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Fig. 1. IKONOS images displaying a false color composite of the red (0.63–0.69 µm), green (0.52–0.60 µm), and near infrared (0.76–0.90 µm) for each site and acquisition. Data were acquired on 2/14/02 (pretillage) and 3/27/02 (post-tillage) at the Coastal Plain site and 2/19/02 at the Tennessee Valley site. Data are provided as a point of comparison with cokriged and fuzzy clustering results.

 


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Fig. 2. Spectral response curves constructed using sampling points (n = 10) that correspond to soils having increasing percentages of surface clay (5.6, 15.0, and 29.8%) content at the Coastal Plain study site. Data were acquired on 2/14/02 (pretillage) and 3/27/02 (post-tillage). Reflectance was reported as Internal Average Relative Reflectnace (IARR).

 


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Fig. 3. Predicted (y axis) versus measured (x axis) values of total C (TC) and clay content at the Tennessee Valley study site. Predicted values were generated via kriging.

 


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Fig. 4. Distribution of residuals obtained from multiple linear regression estimates of total C (TC) content using remotely sensed data acquired at the Coastal Plain and Tennessee Valley sites.

 





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