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

Rudolph, S.; van der Kruk, J.; von Hebel, C.; Ali, M.; Herbst, M.; Montzka, C.; Patzold, S.; Robinson, D.A. ORCID: https://orcid.org/0000-0001-7290-4867; Vereecken, H.; Weihermuller, L.. 2015 Linking satellite derived LAI patterns with subsoil heterogeneity using large-scale ground-based electromagnetic induction measurements. Geoderma, 241-242. 262-271. https://doi.org/10.1016/j.geoderma.2014.11.015

Before downloading, please read NORA policies.

Preview

Text N510335PP.pdf - Accepted Version Download (13MB) | Preview

Abstract/Summary

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 modeling. 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 (R2 0.19–0.82) of ECa patterns and LAI crop marks that indicate a higher water storage capacity as well as the increased correlations between large-offset ECa data and the subsoil clay content and soil profile depth, implies that along this buried paleo-river structure the subsoil is mainly responsible for better crop development in drought periods. Furthermore, observed stagnant water in the subsoil indicates that this paleo-river structure still plays an important role in subsurface hydrology. These insights should be considered and implemented in local hydrological as well as crop models.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	https://doi.org/10.1016/j.geoderma.2014.11.015
UKCEH and CEH Sections/Science Areas:	Emmett
ISSN:	0016-7061
Additional Keywords:	soil heterogeneity, combined sensor approach, electromagnetic induction EMI, leaf area index LAI, water holding capacity
NORA Subject Terms:	Earth Sciences Agriculture and Soil Science
Date made live:	24 Mar 2015 11:55 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/510335

Actions (login required)

View Item

Document Downloads

More statistics for this item...