TR32-Database: Database of Transregio 32

[1594] - Use of geophysical data to improve conceptualization and parameterization in soil-vegetation-atmosphere models.

All available metadata of the dataset are listed below. Some features are available, e.g. download of dataset or additional description file.

Brogi, C., 2016. Use of geophysical data to improve conceptualization and parameterization in soil-vegetation-atmosphere models.. PhD Report, Forschungszentrum Jülich IBG-3, Jülich. Accessed from at 2017-09-20.
Title(s):Main Title: Use of geophysical data to improve conceptualization and parameterization in soil-vegetation-atmosphere models.
Subtitle: PhD Report n. 02
Description(s):Abstract: In the last decades, the use of geophysics has broadened as fast as the advancements of the technology related to measurement techniques. Geophysics turned ideas into action, demonstrating an increasing efficiency of data collection methodologies combined with an improved reliability of the quantitative data collected. Moreover, the non-invasive nature of geophysical techniques is a great advantage when a direct geognostic survey is not adequate or feasible. The potential of hydrogeophysics at the catchment scale has been widely recognized (Robinson, et al., 2008) and looking at larger scale, techniques like electromagnetic induction (EMI) are full of promise for soil hydrologists (Vereeken, et al., 2015). Old generation EMI instruments already showed promising results in locating clay lenses in homogeneous sandy soil profile (Cockx, et al., 2007) and in detecting exposed near-surface Pleistocene frost-wedge pseudomorphs at the test-site scale (Cockx, et al., 2006). Concerning agricultural applications, EMI has been successfully used to highlight anthropogenic soil compaction in a vineyard in South France (André, et al., 2012) and different water management across the same field in Southern Italy (De Benedetto, et al., 2013). New generation EMI measurement systems, which are provided with multiple coil distances for a higher vertical resolution, are able to gather quantitative information about dominant features of the subsurface up to a depth of 2 m (von Hebel, et al., 2014). Moreover the technique is proven to be fast, non-invasive and feasible for areas up to several hectares. The same technology has been used to investigate the origin of observed Leaf Area Index (LAI) patterns in crop performance and soil properties (e.g. subsoil water content and water storage capacity) that have been related to improved crop performance during water stress periods (Rudolph, et al., 2015). Despite this promising potential, the use of hydrogeophysics in large scale study is increasing slower than what can be expected (Vereeken, et al., 2015). Thanks to these encouraging preconditions, an extensive and detailed data collection campaign is being carried out in 2016 in an agricultural area of one square kilometer near Düren (Germany). The aim is to collect and to analyse large-scale multi-configuration EMI data with a continuous dataset. Compared to previous studies, the dataset is characterized by a higher number of coil configurations (two instruments providing a total of 9 coil separations) and a more detailed horizontal resolution (maximum distance of 2,5 m between EMI transects). Afterwards, the EMI dataset is used to investigate the large-scale subsurface structures as well as small-scale horizontal and vertical heterogeneity associated with the local quaternary geomorphology or contemporary anthropogenic activity.
Responsible Party
Creator(s):Author: Cosimo Brogi
Publisher:CRC/TR32 Database (TR32DB)
TR32 Topic:Other
Related Sub-project(s):B6
Subject(s):CRC/TR32 Keywords: Geophysics, EMI, Geomorphology, Vegetation-Hyrology interactions, PhD Report, Map Comparison
File Details
File Name:C_Brogi_PhD_Report_n2.pdf
Data Type:Text
File Size:2684 kB (2.621 MB)
Date(s):Available: 2016-11-02
Mime Type:application/pdf
Download Permission:OnlyTR32
General Access and Use Conditions:According to the TR32DB data policy agreement.
Access Limitations:According to the TR32DB data policy agreement.
North:-no map data
Measurement Region:Ellebach
Measurement Location:Selhausen
Specific Informations - Report
Report Date:2nd of November, 2016
Report Type:PhD Report
Report City:Jülich
Report Institution:Forschungszentrum Jülich IBG-3
Metadata Details
Metadata Creator:Cosimo Brogi
Metadata Created:2017-02-07
Metadata Last Updated:2017-02-07
Funding Phase:3
Metadata Language:English
Metadata Version:V41
Dataset Metrics
Page Visits:110
Metadata Downloads:0
Dataset Downloads:3
Dataset Activity