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Remote Sensing Of Site-Specific Soil Characteristics for Precision Farming

Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan www.asabe.org

Citation:  Paper number  021078,  2002 ASAE Annual Meeting . (doi: 10.13031/2013.9317) @2002
Authors:   Amy L. Kaleita, Lei Tian
Keywords:   Soil moisture, Remote sensing, Spectrophotometry, Precision Agriculture

A methodology for assessing distributed surface soil moisture content from optical remote sensing is developed. This study uses both ground-based and remotely sensed spectral measurements of soil reflectance in visible and near-infrared wavelengths and concurrent measurements of volumetric soil moisture within the top 6 cm to establish a relationship between spectral response and moisture. Various approaches, including principal component analyses and regression techniques are investigated to determine the potential for quantifying soil moisture from the spectral reflection data. Preliminary investigations have yielded R2 values as high as 0.62 when comparing predictions to actual moisture values. Investigation of predicting soil organic matter content from the same data is also performed.

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