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Fusion of Remotely Sensed Imagery and Minimal Ground Sampling for Soil Moisture Mapping

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

Citation:  Paper number  061173,  2006 ASAE Annual Meeting . (doi: 10.13031/2013.21094) @2006
Authors:   Amy Kaleita
Keywords:   Geostatistics, Theta probe, data fusion

A methodology for mapping surface soil moisture content across an agricultural field from optical remote sensing and limited ground sampling is developed. This study uses remotely sensed spectral measurements of soil reflectance in a single visible wavelength and historical measurements of volumetric soil moisture within the top 6 cm, in conjunction with a single ground measurement. Results indicate that combining reflectance and ground measurements can yield more detailed maps of soil moisture than ground measurement alone.

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