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Dowagiac Loam: Linear Regression Analysis of Soil Moisture on Spectral Reflectance. (Geography).

Dowagiac Loam: Linear Regression Analysis of Soil Moisture on Spectral Reflectance. Nicholas A. Forfinski, Western Michigan University, Geography Department, Kalamazoo, MI 49008; Nicholas_forfinski@hotmail.com

Soil moisture is an important variable in a number of disciplines, including hydrology, agronomy, meteorology, and geo-technical engineering. Remote sensing offers a unique advantage when studying soil moisture in that synoptic data can be gathered at a distance. Although studies suggest that microwave data offer the greatest potential in remotely sensing soil moisture, research within the optical range has also proven applicable. In this study, the spectral reflectance (from 400-850 nanometers) of Dowagiac loam at various levels of volumetric soil moisture content (from 0% to a field capacity of 24.8%) was measured using a spectrometer in a controlled-light setting. Reflectance was regressed against volumetric soil moisture content for each of the 993 detected bands, and the resulting coefficients of determination were graphed. [R.sup.2] values of above .80 within the 520-785 nm range suggest that spectral reflectance, within this range, can serve as an indicator of volumetric soil moisture content.
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Author:Forfinski, Nicholas A.
Publication:Michigan Academician
Article Type:Brief Article
Geographic Code:1U3MI
Date:Mar 22, 2002
Words:178
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