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An Automated Soil Line Identification Routine for Remotely Sensed Images

Garey A. Foxa,*, G. J. Sabbaghb, S. W. Searcyc and C. Yangd

a 208 Carrier Hall, Dep. of Civil Engineering, Univ. of Mississippi, University, MS 38677-1848
b Bayer CropScience, 17745 S. Metcalf, Stilwell, KS 66085
c Dep. of Biological & Agricultural Engineering, Texas A&M University, College Station, TX 77843-2117
d USDA-ARS, Kika de la Garza, Subtropical Agricultural Research Unit, 2413E Hwy 83, Weslaco, TX 78596



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  		Fig. 1. Soil line concept demonstrating the observed linear relationship between red (R) and near-infrared (NIR) reflectance or image intensity of bare soil (from Fox et al., 2003).

 


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  		Fig. 2. Comparison of estimated actual and automated soil lines for 22 Apr. 1998 image of Field A.

 


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  		Fig. 3. Comparison of estimate actual and automated soil lines for 11 May 1998 image of Field A.

 


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  		Fig. 4. Comparison of estimated actual and automated soil lines for 16 May 1995 image of Field S.

 


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  		Fig. 5. Comparison of estimated actual and automated soil lines for 16 May 1995 image of Field N.

 




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The SCI Journals Agronomy Journal Crop Science
Journal of Natural Resources
and Life Sciences Education		 Vadose Zone Journal
Journal of Plant Registrations Journal of
Environmental Quality		 The Plant Genome
Copyright © 2004 by the Soil Science Society of America.