Dataset of TDR soil moisture data from a LoRaWAN based soil sensing network of a selection of sensors at patchCROP for December 2020 to August 2021 for a principal component analysis
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The dataset comprises TDR soil moisture data from 64 sensors in three different depths (0.3, 0.6, 0.9 m), measured by a LoRaWAN based soil sensing network at the landscape laboratory patchCROP by ZALF near Müncheberg, Germany. The data were the base for a principal component analysis of the period from December 2020 until August 2021. For this, periods and sensors with low data quality were excluded and smaller gaps closed by linear interpolation. In total, the dataset comprises data from 12 different patches under seven different main crops.
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Cited on 06 June 2024
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Publication Details
DOI
Publisher
BonaRes Data Centre (Leibniz Centre for Agricultural Landscape Research (ZALF))
Subfield
Environmental Engineering
Field
Environmental Science
Domain
Physical Sciences
Confidence Score
49%
Source
Scholar Data Model