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HydReSGeo: Field experiment dataset of surface-sub-surface infiltration dynamics acquired by hydrological, remote sensing, and geophysical measurement techniques

Keller, Sina; Riese, Felix M.; Allroggen, Niklas; Jackisch, Conrad

Abstract (englisch):

This dataset comprises data of an interdisciplinary pedon-scale irrigation experiment at a grassland site near Karlsruhe, Germany, including pedo-hydrological, geophysical, and remote sensing data. The objective of this experiment is to monitor soil moisture dynamics during a well-defined infiltration process with a combination of direct and non-invasive techniques.
Overall, the quantification of soil water dynamics and, in particular, its spatial distributions is essential for the understanding of land-atmosphere interactions. However, the precise measurement of soil water dynamics and its spatial distribution in a continuous manner is a challenging task. Pedo-hydrological monitoring techniques rely on direct, point-based measurement with buried probes for soil water content and matric potential. Non-invasive remote sensing (RS) and geophysical measurement techniques allow for spatially continuous measurements on different spatial scales and extents. This experiment provides a basis for the analyses of signal coherence between the measurement techniques and disciplines. It contributes to forthcoming developments of monitoring setups and modeling approaches to landscape-water dynamics.
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DOI: 10.5880/fidgeo.2020.015
Zugehörige Institution(en) am KIT Institut für Photogrammetrie und Fernerkundung (IPF)
Institut für Wasser und Gewässerentwicklung (IWG)
KIT-Zentrum Klima und Umwelt (ZKU)
Publikationstyp Forschungsdaten
Publikationsmonat/-jahr 05.2020
Erstellungsdatum 15.08.2017 - 21.08.2017
Identifikator KITopen-ID: 1000119116
Schlagwörter soil moisture, irrigation experiment, hyperspectral data, VNIR data, ground penetrating radar, LWIR data, interdisciplinary dataset, CAOS, Catchments as Organised Systems
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