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

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dc.contributor.author Kaleita, Amy
dc.contributor.author Kaleita, Amy
dc.contributor.department Agricultural and Biosystems Engineering
dc.date 2018-02-13T07:02:16.000
dc.date.accessioned 2020-06-29T22:32:44Z
dc.date.available 2020-06-29T22:32:44Z
dc.date.copyright Sun Jan 01 00:00:00 UTC 2006
dc.date.embargo 2013-03-11
dc.date.issued 2006-07-01
dc.description.abstract <p>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.</p>
dc.description.comments <p>This is an ASABE Meeting Presentation, Paper No. <a href="http://elibrary.asabe.org/abstract.asp?aid=21094&t=3&dabs=Y&redir=&redirType=" target="_blank">061173</a>.</p>
dc.identifier archive/lib.dr.iastate.edu/abe_eng_conf/243/
dc.identifier.articleid 1236
dc.identifier.contextkey 3884868
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath abe_eng_conf/243
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/254
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/abe_eng_conf/243/2006_KaleitaAL_FusionRemotelySensed.pdf|||Fri Jan 14 22:53:12 UTC 2022
dc.subject.disciplines Agriculture
dc.subject.disciplines Bioresource and Agricultural Engineering
dc.subject.keywords Geostatistics
dc.subject.keywords Theta probe
dc.subject.keywords data fusion
dc.title Fusion of Remotely Sensed Imagery and Minimal Ground Sampling for Soil Moisture Mapping
dc.type article
dc.type.genre conference
dspace.entity.type Publication
relation.isAuthorOfPublication 8a405b08-e1c8-4a10-b458-2f5a82fcf148
relation.isOrgUnitOfPublication 8eb24241-0d92-4baf-ae75-08f716d30801
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