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Soil monitoring for precision farming using hyperspectral remote sensing and soil sensors

Bodenüberwachung für Precision Farming durch hyperspektrale Fernerkundung und Bodensensoren
Simon Schreiner, Dubravko Culibrk, Michele Bandecchi, Wolfgang Gross and Wolfgang Middelmann


This work describes an approach to calculate pedological parameter maps using hyperspectral remote sensing and soil sensors. These maps serve as information basis for automated and precise agricultural treatments by tractors and field robots. Soil samples are recorded by a handheld hyperspectral sensor and analyzed in the laboratory for pedological parameters. The transfer of the correlation between these two data sets to aerial hyperspectral images leads to 2D-parameter maps of the soil surface. Additionally, rod-like soil sensors provide local 3D-information of pedological parameters under the soil surface. The goal is to combine the area-covering 2D-parameter maps with the local 3D-information to extrapolate large-scale 3D-parameter maps using AI approaches.


Diese Arbeit beschreibt einen Ansatz zur Erstellung bodenkundlicher Parameterkarten mittels hyperspektraler Fernerkundung und Bodensensorik, als Informationsgrundlage für automatisierte und präzise landwirtschaftliche Anwendungen durch Traktoren und Feldroboter. Dazu werden Bodenproben hyperspektral untersucht und pedologische Parameter im Labor analysiert. Die Übertragung der Korrelation zwischen diesen beiden Datensätzen auf hyperspektrale Luftbilder erzeugt 2D-Parameterkarten der Bodenoberfläche. Zusätzlich werden stabähnliche Bodensensoren im Feld versenkt, die lokal 3D-Information über pedologische Parameter liefern. Ziel ist die Verknüpfung der flächendeckenden 2D-Parameterkarten mit lokaler 3D-Information durch KI, um flächendeckende 3D-Parameterkarten zu erstellen.


The authors would like to thank the German Aerospace Center for providing EnMAP simulations based on HySpex data and Dylan Warren Raffa for the agronomic insights and expertise.


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Received: 2020-03-30
Accepted: 2021-02-07
Published Online: 2021-04-03
Published in Print: 2021-04-27

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