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ARS Home » Midwest Area » Columbia, Missouri » Cropping Systems and Water Quality Research » Research » Publications at this Location » Publication #217178
Title: SAMPLING AND CALIBRATION REQUIREMENTS FOR SOIL PROPERTY ESTIMATION USING NIR SPECTROSCOPY

Author
item LEE, KYOU SEUNG - SUNGKYUNKWAN UNIV. KOREA
item LEE, DONG HOON - SUNGKYUNKWAN UNIV. KOREA
item Sudduth, Kenneth - Ken
item CHUNG, SUN OK - CHUNGNAM NATL UNIV KOREA

Submitted to: Meeting Abstract
Publication Type: Abstract Only
Publication Acceptance Date: 10/17/2007
Publication Date: 10/17/2007
Citation: Lee, K., Lee, D., Sudduth, K.A., Chung, S. 2007. Sampling and calibration requirements for soil property estimation using NIR spectroscopy [abstract]. Abstracts of 2nd International Conference on Advanced Nondestructive Evaluation. Paper No. 2007-472.

Interpretive Summary:

Technical Abstract: Soil physical and chemical properties are important in crop production since they control the availability of plant water and nutrients. Optical diffuse reflectance sensing is a potential approach for rapid and reliable on-site estimation of soil properties. One issue with this sensing approach is whether additional calibration is necessary when the sensor is applied under conditions (e.g., soil types or ambient conditions) different from those used to generate an initial calibration, and if so how many sample points are required in this additional calibration. In this study, these issues were addressed using data from 10 fields from 5 states in the north-central USA, selected to represent ranges in climate, soil, and landscape characteristics. Results showed that data from soil regions and horizons with variations spanning those expected in sensor use should be included in the initial calibration of a sensor. Otherwise, modification of the initial sensor calibration with a minimum of 8 to 12 sample points for each new soil region and horizon would be needed. These results will provide useful guidelines for calibration and field application of an optical diffuse reflectance sensor to estimate soil properties.