The near infrared analysis (NIRA) approach was studied to examine its capability for predicting spectral feature soil properties from the reflectance curves in the near infrared (NIR) region (1-2.5 um) of arid and semiarid soils. High-resolution diffuse reflectance spectra (3113 spectral points) in the NIR region were recorded for 91 soil samples from Israel. Six soil properties (clay content, specific surface area, cation-exchange capacity, hygroscopic moisture, carbonate content, and organic matter content) were measured by routine methods employed in soil laboratories. An empirical model to predict each property from its spectral signature was developed by adapting the NIRA technique. Several data manipulations were used to obtain optimum performance. The optimum performance of all properties was found to be between 25 and 63 spectral points. Strong support for the NIRA capability was provided by its ability to examine most of the spectral assignments. A slight bias was observed for the prediction of both organic matter and hygroscopic moisture, suggesting that more attention in the prediction of these constituents is required. It was concluded that NIRA is a promising method for rapid and nonrestrictive analysis of soil materials, and further study of the synergism between NIRA and soil materials is recommended.N EAR-INFRARED ANALYSIS is a laboratory approach that analyzes the diffuse reflectance radiation with regard to a material's chemistry (Stark et al., 1986). This methodology was developed 25 yr ago for rapid analysis of moisture in grains (Ben-Gera and Norris, 1968). Today, NIRA is well accepted and widely used in many other disciplines (Davies and Grant, 1987; Norris, 1988). This method is known for its rapidity, convenience, simplicity, accuracy, and ability to analyze many constituents at the same time (Stark et al., 1986). In

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