Journal Article FZJ-2018-04527

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

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2018
Wiley Hoboken, NJ

Geophysical research letters 45(15), 7571-7579 () [10.1029/2018GL078658]

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Abstract: For the first time, we combine depth-specific soil information obtained from the quantitative inversion of ground-based multi-coil electromagnetic induction (EMI) data with the airborne hyperspectral vegetation mapping of 1x1 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 EMI data inversions and confirmed by soil samples. Whereas the upper ploughing 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.

Classification:

Contributing Institute(s):
  1. Agrosphäre (IBG-3)
  2. Pflanzenwissenschaften (IBG-2)
  3. JARA - HPC (JARA-HPC)
Research Program(s):
  1. 255 - Terrestrial Systems: From Observation to Prediction (POF3-255) (POF3-255)
  2. Better predictions with environmental simulation models: optimally integrating new data sources (jicg41_20100501) (jicg41_20100501)

Appears in the scientific report 2018
Database coverage:
Medline ; OpenAccess ; Current Contents - Physical, Chemical and Earth Sciences ; IF < 5 ; JCR ; NCBI Molecular Biology Database ; SCOPUS ; Science Citation Index ; Science Citation Index Expanded ; Thomson Reuters Master Journal List ; Web of Science Core Collection
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Institute Collections > IBG > IBG-2
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 Record created 2018-07-25, last modified 2022-09-30