Description: 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.For direct monitoring, an array of time-domain reflectometry (TDR) probes and tensiometers was used. As non-invasive techniques, we applied a ground-penetrating radar (GPR), a hyperspectral snapshot sensor, a long-wave infrared (LWIR) sensor, and a hyperspectral field spectroradiometer. We provide the data in nearly raw format, including information about the site properties and calibration references. The data are organized along with the different sensors and disciplines. Thus, the distinct sensor data can also be used independently of each other. In addition, exemplary scripts for reading and processing the data are included.
Global identifier:
Doi(
"10.5880/fidgeo.2020.015",
)
Origins: /Wissenschaft/GFZ
Tags: Kalibrierung ? Radar ? Sensor ? Bodenwasser ? Fernerkundungsdaten ? Grünland ? Messtechnik ? Verfahrenskombination ? Bewässerung ? Daten ? Bodenfeuchte ? Modellierung ? Fernerkundung ? Freilandversuch ? CAOS ? Catchments as Organised Systems ? EARTH SCIENCE > LAND SURFACE > SOILS > SOIL MOISTURE/WATER CONTENT ? EARTH SCIENCE > TERRESTRIAL HYDROSPHERE ? EARTH SCIENCE SERVICES > DATA ANALYSIS AND VISUALIZATION > STATISTICAL APPLICATIONS ? Earth Remote Sensing Instruments > Active Remote Sensing ? Earth Remote Sensing Instruments > Active Remote Sensing > Profilers/Sounders > Radar Sounders ? Earth Remote Sensing Instruments > Passive Remote Sensing > Spectrometers/Radiometers > Hyperspectral Spectrometers/Radiometers ? Earth Remote Sensing Instruments > Passive Remote Sensing > Thermal/Radiation Detectors ? Earth Remote Sensing Instruments > Passive Remote Sensing > Thermal/Radiation Detectors > FLIR ? In Situ/Laboratory Instruments > Probes > SOIL MOISTURE PROBE ? LWIR data ? VNIR data ? ground penetrating radar ? hyperspectral data ? interdisciplinary dataset ? irrigation experiment ?
License: cc-by/4.0
Language: Englisch/English
Issued: 2020-01-01
Time ranges: 2020-01-01 - 2020-01-01
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