Using EMI Data to Map Soil Hydraulic Properties at Field Scale

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Titles:Main Title: Using EMI Data to Map Soil Hydraulic Properties at Field Scale
Subtitle: PhD Report 5
Description:Abstract: An appproach on how to spatially estimate soil hydraulic properties, e.g. the Mualem-van Genuchten (MvG) parameters, is presented. MvG parameters were derived by applying an inversion algorithm (i.e., SCE-UA) on the ecosystem model AgroC. Soil water content measured by SoilNet was used as calibration data. Subsequently, the inverted parameters were estimated for 4 m² grid cells by performing multiple linear regressions. The appraoch uses soil sampling data (i.e., texture, Corg, soil depth, and stone content) and electromagnetic induction data as independent variables.
Responsible Party
Creator:Philipp Pohlig (Author)
Publisher:CRC/TR32 Database (TR32DB)
Publication Year:2017
Topic
TR32 Topic:Soil
Related Subproject:B1
Subjects:Keywords: Hydrological Modelling, Soil Water Content, Spatial Variability, Soil Water Distribution, Multivariate Data Analysis, EMI, PhD Report
Geogr. Information Topic:Environment
File Details
Filename:report_pohlig.docx
Data Type:Text - Text
Size:24 Pages
File Size:6.6 MB
Date:Updated: 05.11.2017
Mime Type:application/vnd.openxmlformats-officedocument.wordprocessingml.document
Data Format:MS word
Language:English
Status:Completed
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Download Permission:Only Project Members
General Access and Use Conditions:According to the TR32DB data policy agreement.
Access Limitations:According to the TR32DB data policy agreement.
Licence:[TR32DB] Data policy agreement
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Specific Information - Report
Report Date:27th of November, 2017
Report Type:PhD Report
Report City:Jülich
Report Institution:Forschungszentrum Jülich, IBG-3
Volume:5
Number of Pages:24 (1 - 24)
Metadata Details
Metadata Creator:Philipp Pohlig
Metadata Created:21.12.2017
Metadata Last Updated:21.12.2017
Subproject:B1
Funding Phase:3
Metadata Language:English
Metadata Version:V50
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