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

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Title:Main Title: Understanding soil and plant interaction by combining ground‐based quantitative electromagnetic induction and airborne hyperspectral data
Description: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
Creators:Christian von Hebel (Author), Maria Matveeva (Author), Elizabeth Verweij (Processor), Patrick Rademske (Processor), Manuela Sarah Kaufmann (Distributor), Cosimo Brogi (Distributor), Harry Vereecken (Principal Investigator), Uwe Rascher (Principal Investigator), Jan van der Kruk (Principal Investigator)
Publisher:Wiley
Publication Year:2018
Topic
TR32 Topic:Soil
Related Subprojects:B6, D2
Subjects: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
Geogr. Information Topic:Environment
File Details
Filename:vonHebel_etal2018_EMI-Plants_GRL.pdf
Data Type:Text - Article
File Size:1.9 MB
Date:Accepted: 15.07.2018
Mime Type:application/pdf
Data Format:PDF
Language:English
Status:Completed
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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
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Specific Information - Publication
Publication Status:Published
Review Status:Peer reviewed
Publication Type:Article
Article Type:Journal
Source:Geophysical Research Letters
Issue:15
Volume:45
Number of Pages:9 (7571 - 7579)
Metadata Details
Metadata Creator:Christian von Hebel
Metadata Created:27.09.2018
Metadata Last Updated:27.09.2018
Subproject:B6
Funding Phase:3
Metadata Language:English
Metadata Version:V50
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