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Soil Moisture Estimation From Remotely Sensed Hyperspectral Data

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

Citation:  Paper number  031047,  2003 ASAE Annual Meeting . (doi: 10.13031/2013.13717) @2003
Authors:   Amy L. Kaleita, Lei Tian, Haibo Yao
Keywords:   Soil moisture, Remote sensing, Spectrophotometry, Precision Agriculture

A methodology for mapping surface soil moisture content across an agricultural field from optical remote sensing and ground sampling 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. After determining appropriate wavelengths for soil moisture estimation from spectral reflectance, a cokriging scheme was used to generate soil moisture maps. Results indicate that combining reflectance and ground measurements can yield more detailed maps of soil moisture than ground measurement alone.

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