[1826] - Understanding soil and plant interaction by combining ground‐based quantitative electromagnetic induction and airborne hyperspectral data

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Citation
von Hebel, C., Matveeva, M., Verweij, E., Rademske, P., Kaufmann, M. S., Brogi, C., Vereecken, H., Rascher, U., van der Kruk, J., 2018. Understanding soil and plant interaction by combining ground‐based quantitative electromagnetic induction and airborne hyperspectral data. Geophysical Research Letters, 45 (15), 7571 - 7579.
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Identification
Title(s):Main Title: Understanding soil and plant interaction by combining ground‐based quantitative electromagnetic induction and airborne hyperspectral data
Description(s):Abstract: For the first time, we combine depth-specific soil information obtained from the quantitative inversion of ground-based multicoil electromagnetic induction data with the airborne hyperspectral vegetation mapping of 1 × 1-m pixels including Sun-induced fluorescence (F) to understand how subsurface structures drive above-surface plant performance. Hyperspectral data were processed to quantitative F and selected biophysical canopy maps, which are proxies for actual photosynthetic rates. These maps showed within-field spatial patterns, which were attributed to paleo-river channels buried at around 1-m depth. The soil structures at specific depths were identified by quantitative electromagnetic induction data inversions and confirmed by soil samples. Whereas the upper plowing layer showed minor correlation to the plant data, the deeper subsoil carrying vital plant resources correlated substantially. Linking depth-specific soil information with plant performance data may greatly improve our understanding and the modeling of soil-vegetation-atmosphere exchange processes.
Citation Advice:von Hebel, C., Matveeva, M., Verweij, E., Rademske, P., Kaufmann, M. S., Brogi, C., et al. (2018). Understanding soil and plant interaction by combining ground-based quantitative electromagnetic induction and airborne hyperspectral data. Geophysical Research Letters, 45. https://doi.org/ 10.1029/2018GL078658
Responsible Party
Creator(s):Author: Christian von Hebel
Author: Maria Matveeva
Processor: Elizabeth Verweij
Processor: Patrick Rademske
Distributor: Manuela Sarah Kaufmann
Distributor: Cosimo Brogi
Principal Investigator: Harry Vereecken
Principal Investigator: Uwe Rascher
Principal Investigator: Jan van der Kruk
Publisher:Wiley
Topic
TR32 Topic:Soil
Related Sub-project(s):B6, D2
Subject(s):CRC/TR32 Keywords: Geophysics, Geophysical Survey, EMI, Multisensor, Electrical Soil, soil Heterogeneity, Vadose Zone, Hyperspectral Sensor, Chlorophyll Fluorescence, Fluorescence, Photosynthesis, NDVI, Crop/s, Observational Data, Inverse Modelling, High Resolution
Topic Category:Environment
File Details
File Name:vonHebel_etal2018_EMI-Plants_GRL.pdf
Data Type:Text
File Size:1958 kB (1.912 MB)
Date(s):Date Accepted: 2018-07-15
Mime Type:application/pdf
Data Format:PDF
Language:English
Status:Completed
Constraints
Download Permission:OnlyTR32
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:50.87044
East:6.45382
South:50.86949
West:6.45110
Measurement Region:Ellebach
Measurement Location:Selhausen
Specific Informations - Publication
Status:Published
Review:PeerReview
Year:2018
Type:Article
Article Type:Journal
Source:Geophysical Research Letters
Issue:15
Volume:45
Page Range:7571 - 7579
Metadata Details
Metadata Creator:Christian von Hebel
Metadata Created:2018-09-27
Metadata Last Updated:2018-09-27
Subproject:B6
Funding Phase:3
Metadata Language:English
Metadata Version:V43
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Page Visits:108
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