Printer Friendly

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;

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.
COPYRIGHT 2002 Michigan Academy of Science Arts & Letters
No portion of this article can be reproduced without the express written permission from the copyright holder.
Copyright 2002 Gale, Cengage Learning. All rights reserved.

Article Details
Printer friendly Cite/link Email Feedback
Author:Forfinski, Nicholas A.
Publication:Michigan Academician
Article Type:Brief Article
Geographic Code:1U3MI
Date:Mar 22, 2002
Previous Article:Using Cartographic Animation to Visualize Air Transportation Patterns. (Geography).
Next Article:The Analysis of Drought Susceptibility in South Korea, 2001. (Geography).

Related Articles
The hazards of leadshot in soil.
Round Robin for Optical Fiber Bragg Grating Metrology.
The birth of American casting: Saugus Iron Works. (Shakeout).
Mathematics, computer science and statistics: a software tool developed for the classification of remote sensing spectral reflectance data.
Fire-resistant foam rubber.
Nitrogen assessment in rice using hyperspectral reflectance.
Seasonality and children's blood lead levels: developing a predictive model using climatic variables and blood lead data from Indianapolis, Indiana,...
Hyperspectral remote sensing of tropical and sub-tropical forests. (CD-ROM included).
Remote sensing of urban areas: linear spectral unmixing of Landsat Thematic Mapper images acquired over Tartu (Estonia)/Linnaliste alade kaugseire:...

Terms of use | Copyright © 2017 Farlex, Inc. | Feedback | For webmasters