Use of geophysical data to improve conceptualization and parameterization in soil-vegetation-atmosphere models.
This page lists all metadata that was entered for this dataset. Only registered users of the TR32DB may download this file.
Feature
Request download
Citation
Citation Options
Identification
| Titles: | Main Title: Use of geophysical data to improve conceptualization and parameterization in soil-vegetation-atmosphere models. Subtitle: PhD Report n. 02 |
| Description: | 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: | Cosimo Brogi (Author) |
| Publisher: | CRC/TR32 Database (TR32DB) |
| Publication Year: | 2017 |
Topic
| TR32 Topic: | Other |
| Related Subproject: | B6 |
| Subjects: | Keywords: Geophysics, EMI, Geomorphology, Vegetation-Hyrology interactions, PhD Report, Map Comparison |
File Details
| Filename: | C_Brogi_PhD_Report_n2.pdf |
| Data Type: | Text - Text |
| File Size: | 2.6 MB |
| Date: | Available: 02.11.2016 |
| Mime Type: | application/pdf |
| Language: | English |
| Status: | Completed |
Constraints
| 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 |
Geographic
Specific Information - 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: | 07.02.2017 |
| Metadata Last Updated: | 07.02.2017 |
| Subproject: | B6 |
| Funding Phase: | 3 |
| Metadata Language: | English |
| Metadata Version: | V50 |
Metadata Export
| Metadata Schema: |
Dataset Statistics
| Page Visits: | 823 |
| Metadata Downloads: | 0 |
| Dataset Downloads: | 3 |
Dataset Activity
Feature
DownloadBy downloading this dataset you accept the license terms of [TR32DB] Data policy agreement and TR32DB Data Protection Statement
Adequate reference when this dataset will be discussed or used in any publication or presentation is mandatory. In this case please contact the dataset creator.
Adequate reference when this dataset will be discussed or used in any publication or presentation is mandatory. In this case please contact the dataset creator.
