10.5880/fidgeo.2020.015 eng dataset GFZ German Research Centre for Geosciences datapub@gfz-potsdam.de http://www.gfz-potsdam.de Helmholtz-Centre Potsdam - GFZ German Research Centre for Geosciences Helmholtz-Centre Potsdam - GFZ German Research Centre for Geosciences pointOfContact 2020-05-13 urn:ogc:def:crs:EPSG:4326 HydReSGeo: Field experiment dataset of surface-sub-surface infiltration dynamics acquired by hydrological, remote sensing, and geophysical measurement techniques 2020-05-13 revision doi:10.5880/fidgeo.2020.015 Keller, Sina Karlsruhe Institute of Technology, Karlsruhe, Germany author Riese, Felix M. Karlsruhe Institute of Technology, Karlsruhe, Germany author Allroggen, Niklas University of Potsdam, Potsdam, Germany author Jackisch, Conrad Technische Universität Braunschweig, Braunschweig, Germany author GFZ Data Services publisher 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. Complete Keller, Sina Karlsruhe Institute of Technology, Karlsruhe, Germany sina.keller@kit.edu https://www.ipf.kit.edu/english/staff_keller_sina.php informtion pointOfContact Allroggen, Niklas University of Potsdam, Potsdam, Germany niklas.allroggen@geo.uni-potsdam.de http://www.geo.uni-potsdam.de/member-details/show/416.html informtion pointOfContact Jackisch, Conrad Technische Universität Braunschweig, Braunschweig, Germany c.jackisch@tu-braunschweig.de https://www.tu-braunschweig.de/en/geooekologie/institut/usa/staff-members/dr-conrad-jackisch informtion pointOfContact soil moisture irrigation experiment hyperspectral data VNIR data ground penetrating radar LWIR data interdisciplinary dataset CAOS Catchments as Organised Systems 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 GCMD Instruments publication EARTH SCIENCE > LAND SURFACE > SOILS > SOIL MOISTURE/WATER CONTENT EARTH SCIENCE > TERRESTRIAL HYDROSPHERE EARTH SCIENCE SERVICES > DATA ANALYSIS AND VISUALIZATION > STATISTICAL APPLICATIONS NASA/GCMD Earth Science Keywords publication CC BY 4.0 CC BY 4.0 https://www.dgpf.de/src/tagung/jt2018/proceedings/proceedings/papers/07_PFGK18_Keller_et_al.pdf URL IsSupplementTo 10.1109/WHISPERS.2018.8747076 DOI IsSupplementTo 10.1109/IWAGPR.2017.7996067 DOI Cites 10.1109/TGRS.2010.2048332 DOI Cites https://seg.org/Portals/0/SEG/News%20and%20Resources/Technical%20Standards/seg_y_rev2_0-mar2017.pdf URL Cites 10.5194/hess-21-3749-2017 DOI Cites https://isbnsearch.org/isbn/9783879076383 URL Cites 10.5194/isprs-annals-IV-1-101-2018 DOI IsSupplementTo 10.5281/zenodo.3576242 DOI Cites 10.5281/zenodo.3706418 DOI Cites eng geoscientificInformation The experimental setup consists of 2 x 4 plots, each covering an area of one square meter 8.44128 8.44128 49.1313 49.1313 2017-08-15 2017-08-21 http://doi.org/10.5880/fidgeo.2020.015 WWW:LINK-1.0-http--link Data Access - DOI Data Access - DOI information