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

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Title:Main Title: Data to Understanding soil and plant interaction by combining ground‐based quantitative electromagnetic induction and airborne hyperspectral data
Description:Abstract: This data set contains ground-based apparent electrical conductivity (ECa) of eight depth ranges of investigation. These were inverted for a three-layer electrical conductivity model. Five .dat files contain the depth-specific inverted electrical conductivity and respective layer thicknesses. Three dat-files correspond to airborne plant performance data. Additionally, six figures show the linear regressions between soil information (electrical conductivity property) and plant performance and one video shows the quasi-3D EMI inversion results.
Identifier:10.5880/TR32DB.31 (DOI)
Related Resource:Is Referenced By Text 10.1029/2018GL078658 (DOI)
Responsible Party
Creators:Christian von Hebel (Author), Maria Matveeva (Author), Elizabeth Verweij (Author), Patrick Rademske (Author), Manuela Sarah Kaufmann (Author), Cosimo Brogi (Author), Harry Vereecken (Author), Uwe Rascher (Author), Jan van der Kruk (Author)
Funding References:Deutsche Forschungsgemeinschaft (DFG): CRC/TRR 32: Patterns in Soil-Vegetation-Atmosphere Systems: Monitoring, Modelling and Data Assimilation
European Space Agency: FLEX-EU: ESA FLEX-EU
Publisher:CRC/TR32 Database (TR32DB)
Publication Year:2018
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Filename:2018GL078658_Soil-PlantInteraction_Data-Documentation_Information.zip
Data Type:Dataset - Dataset
Size:16 Datasets
File Size:2.2 MB
Date:Created: 24.07.2018
Mime Type:application/zip
Language:English
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Metadata Creator:Christian von Hebel
Metadata Created:25.07.2018
Metadata Last Updated:25.07.2018
Subproject:B6
Funding Phase:3
Metadata Language:English
Metadata Version:V50
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Metadata Downloads:17
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