Soil Moisture Estimation From Soil Spectral Characteristics in a Precision Farming Environment

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.

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Agricultural Engineering

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2015

Author dc:creator

• Kaleita, Amy Leigh

Contributors dc:contributor

• Michael C. Hirschi

• Remote Sensing

Language dc:language

eng

Identifier

(MiAaPQ)AAI3101878

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/86052