Toward Catchment Vadose Zone Characterization by Linking Geophysical and Remote Sensing Data

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Title:Main Title: Toward Catchment Vadose Zone Characterization by Linking Geophysical and Remote Sensing Data
Description:Abstract: Large-scale information of the crop status can be provided by multispectral remote sensing (RS) products. However, to fully understand the observed RS patterns including plant growth related processes such as water and nutrient availability, knowledge of the vadose zone is necessary, which can be obtained by geophysical methods. We studied a 20 ha test site in Selhausen (Germany), where the upper terrace (UT) sediments consist of sand and gravel, whereas the lower terrace (LT) sediments consist of loamy silt. Leaf area index (LAI) maps that were derived from RapidEye satellite data taken after a drought period showed a high density of undulating structures of higher LAI values within the sand and gravel dominated (and generally lower LAI) UT. These structures were related to better crop performance originating from subsurface loamy silt paleo-river channels. Next, large-scale apparent electrical conductivity (ECa) data were obtained using a multi-configuration electromagnetic induction (EMI) sensor with depths of investigation (DOI) up to 1.8 m. The observed LAI patterns coincided well with the ECa patterns of the 1.8 m DOI measurements, and soil analysis confirmed the presence of silty soil in the deeper subsoil. To gain more knowledge, a novel EMI inversion scheme that inverts for a layered subsurface using multi-configuration EMI data was developed and applied to a one ha large field that contained both UT and LT sediments in the eastern and western part, respectively. The obtained smoothly changing lateral and vertical electrical conductivity model was confirmed by grain size distribution maps and two previously measured 120 m long electrical resistivity tomography (ERT) transects. Conclusively, the combined LAI and EMI analysis can be extended to relatively large areas up to the catchment scale to improve environmental models that aim at improved descriptions of plant growth, water, nutrient and energy processes.
Responsible Party
Creators:Christian von Hebel (Author), Sebastian Rudolph (Author), Achim Mester (Author), Johan A. Huisman (Author), Carsten Montzka (Author), Lutz Weihermüller (Author), Harry Vereecken (Author), Jan van der Kruk (Author)
Publisher:CRC/TR32 Database (TR32DB)
Publication Year:2016
Topic
TR32 Topic:Soil
Related Subproject:B6
Subjects:Keywords: Soil, Vadose Zone, LAI
File Details
Filename:CvH-EMI_AGU2014.ppt
Data Type:Event - Event
File Size:5 MB
Date:Issued: 17.12.2014
Mime Type:application/vnd.ms-powerpoint
Data Format:MS PowerPoint
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 - Presentation
Presentation Date:17th of December, 2014
Presentation Type:Poster
Event:AGU Fall Meeting
Event Type:Conference
Event Location:San Francisco
Event Duration:15th of December, 2014 - 19th of December, 2014
Event Website:http://fallmeeting.agu.org/2014/
Metadata Details
Metadata Creator:Christian von Hebel
Metadata Created:12.05.2016
Metadata Last Updated:12.05.2016
Subproject:B6
Funding Phase:2
Metadata Language:English
Metadata Version:V50
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