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Title:Soil Moisture Estimation From Soil Spectral Characteristics in a Precision Farming Environment
Author(s):Kaleita, Amy Leigh
Doctoral Committee Chair(s):Michael C. Hirschi
Department / Program:Agricultural Engineering
Discipline:Agricultural Engineering
Degree Granting Institution:University of Illinois at Urbana-Champaign
Subject(s):Remote Sensing
Abstract:Spectral reflectance data were analyzed in conjunction with surface moisture data to determine the nature of the relationship between the two. For one of the fields, the strongest relationship between reflectance and surface moisture was between 550 and 620 nm. For the other, the strongest relationship was around 945 nm. Finally, a combination of spectral data and limited moisture data was used to create moisture maps. Use of a cokriging technique generated more detailed soil moisture maps than the limited data alone. This method shows potential for development as part of a data fusion technique to generate moisture maps from a minimum of samples.
Issue Date:2003
Description:166 p.
Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2003.
Other Identifier(s):(MiAaPQ)AAI3101878
Date Available in IDEALS:2015-09-28
Date Deposited:2003

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