TR32-Database: Database of Transregio 32

[1129] - Linking satellite derived LAI patterns with subsoil heterogeneity using large-scale ground-based electromagnetic induction measurements

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

Features
Citation
Rudolph, S., van der Kruk, J., von Hebel, C., Ali, M., Herbst, M., Montzka, C., Pätzold, S., Robinson, D., Vereecken, H., 2014. Linking satellite derived LAI patterns with subsoil heterogeneity using large-scale ground-based electromagnetic induction measurements. Geoderma, 241-242, 262 - 271. DOI: 10.1016/j.geoderma.2014.11.015.
Identification
Title(s):Main Title: Linking satellite derived LAI patterns with subsoil heterogeneity using large-scale ground-based electromagnetic induction measurements
Description(s):Abstract: Patterns in crop development and yield are often directly related to lateral and vertical changes in soil texture causing changes in available water and resource supply for plant growth, especially under dry conditions. Relict geomorphologic features, such as old river channels covered by shallow sediments can challenge assumptions of uniformity in precision agriculture, subsurface hydrology, and crop modelling. Hence a better detection of these subsurface structures is of great interest. In this study, the origins of narrow and undulating leaf area index (LAI) patterns showing better crop performance in large scale multi-temporal satellite imagery were for the first time interpreted by proximal soil sensor data. A multi-receiver electromagnetic induction (EMI) sensor measuring soil apparent electrical conductivity (ECa) for six depths of exploration (DOE) ranging from 0-0.25 to 0-1.9 m was used as reconnaissance soil survey tool in combination with selected electrical resistivity tomography (ERT) transects, and ground truth texture data to investigate lateral and vertical changes of soil properties at ten arable fields. The moderate to excellent spatial consistency of LAI crop marks that indicate a higher water storage capacity and ECa patterns as well as the increased correlations between large-offset ECa data and the subsoil clay content and soil profile depth, indicates that along paleo river structures the subsoil is mainly responsible for the crop performance in drought periods. Furthermore, observed stagnant water in the subsoil indicates that these paleo-river structures still play an important role in subsurface hydrology. These insights can be implemented in local hydrological as well as crop models
Identifier(s):DOI: 10.1016/j.geoderma.2014.11.015
Relation(s):References: URL: http://www.tr32db.uni-koeln.de/data.php?dataID=1300
Responsible Party
Creator(s):Author: Sebastian Rudolph
Author: Jan van der Kruk
Author: Christian von Hebel
Author: Muhammad Ali
Author: Michael Herbst
Author: Carsten Montzka
Author: Stefan Pätzold
Author: David Robinson
Author: Harry Vereecken
Contributor(s):Supervisor: Jan van der Kruk
Publisher:Elsevir
Topic
TR32 Topic:Soil
Related Sub-project(s):B6
Subject(s):CRC/TR32 Keywords: Soil Texture
File Details
File Name:Rudolph_et_al_Geoderma.pdf
Data Type:Text
Size(s):10 Pages
File Size:2230 kB (2.178 MB)
Date(s):Date Accepted: 2014-11-20
Available: 2014-12-06
Mime Type:application/pdf
Data Format:PDF
Language:English
Status:Completed
Constraints
Download Permission:Free
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
North:-no map data
East:-
South:-
West:-
Measurement Region:Ellebach
Measurement Location:Selhausen
Specific Informations - Publication
Status:Published
Review:PeerReview
Year:2014
Type:Article
Article Type:Journal
Source:Geoderma
Volume:241-242
Number Of Pages:10
Page Range:262 - 271
Metadata Details
Metadata Creator:Christian von Hebel
Metadata Created:2015-01-15
Metadata Last Updated:2015-01-15
Subproject:B6
Funding Phase:2
Metadata Language:English
Metadata Version:V40
Dataset Metrics
Page Visits:155
Metadata Downloads:0
Dataset Downloads:11
Dataset Activity
Features