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Data Publisher for Earth & Environmental Science

Schrön, Martin; Schoßland, Andreas; Rebmann, Corinna (2021): Soil moisture distribution at the Hordorf (Central Germany) groundtruthing site determined by mobile Cosmic Ray Neutron Sensing [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.934199, In: Rebmann, Corinna; Lausch, Angela; Schulz, Gundula; Chabrillat, Sabine; Milewski, Robert; Schrön, Martin; Werban, Ulrike; Pohle, Marco; Schmidt, Andreas; Pohl, Felix; Hermanns, Floris; Steigerwald, Sophie; Kotas, Helko; Gimper, Sebastian; Schmidt, Patrick; Schoßland, Andreas; Lehmann, Steffen; Schütze, Claudia (2021): Remote sensing event campaign with various optical and thermal sensors for soil moisture and evapotranspiration derivation in Central Germany investigating possible effects of different spatial scales [dataset bundled publication]. Helmholtz Centre for Environmental Research - UFZ, PANGAEA, https://doi.org/10.1594/PANGAEA.931767

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Abstract:
Cosmic Ray neutron sensing (CRNS) is an emerging technology which is used to close the scaling gap between point measurements, such as TDR or soil samples, and the airborne remote sensing data. CRNS estimates the area-average soil water content by the detection of soil-reflected cosmic-ray neutrons in air. This method is characterized by an non-linearly shaped horizontal footprint of hundreds of meters and a vertical footprint of tens of centimetres (Köhli et al. 2015). During the campaign, a portable sensor (the so-called CRNS Rover) was used to study the spatial soil moisture variability in the target area in Hordorf. The rover was equipped with a CRNS-RV unit from Hydroinnova LLC (HI-RC01 detector) and a polyethylene shield below the detector to better reduce local effects of the field track. Neutron count data were processed including several physical, soil, and terrain corrections (see Schrön 2020, cfg file and the software <https://git.ufz.de/CRNS/cornish_pasdy>) to obtain the spatial soil moisture distribution at the Hordorf ground truthing site.
Keyword(s):
drought; evapotranspiration; Groundtruthing; heatwave; MOSES; remote sensing; Soil Moisture
Further details:
Jakobi, Jannis Christoph; Huisman, Johan Alexander; Schrön, Martin; Fiedler, Justus Ernst; Brogi, Cosimo; Vereecken, Harry; Bogena, Heye R (2020): Error Estimation for Soil Moisture Measurements With Cosmic Ray Neutron Sensing and Implications for Rover Surveys. Frontiers in Water, 2, https://doi.org/10.3389/frwa.2020.00010
Köhli, Markus; Schrön, Martin; Zreda, M; Schmidt, Ulrich; Dietrich, Peter; Zacharias, Steffen (2015): Footprint characteristics revised for field‐scale soil moisture monitoring with cosmic‐ray neutrons. Water Resources Research, 51(7), 5772-5790, https://doi.org/10.1002/2015WR017169
Schrön, Martin (2020): Hordorf (Germany) MOSES campaign cosmic ray configuration file. MOSES-20200805-HD_CRNS-ConfigFile.cfg
Schrön, Martin; Köhli, Markus; Scheiffele, Lena; Iwema, Joost; Bogena, Heye R; Lv, Ling; Martini, Edoardo; Baroni, Gabriele; Rosolem, Rafael; Weimar, Jannis; Mai, Juliane; Cuntz, Matthias; Rebmann, Corinna; Oswald, Sascha E; Dietrich, Peter; Schmidt, Ulrich; Zacharias, Steffen (2017): Improving calibration and validation of cosmic-ray neutron sensors in the light of spatial sensitivity. Hydrology and Earth System Sciences, 21(10), 5009-5030, https://doi.org/10.5194/hess-21-5009-2017
Schrön, Martin; Rosolem, Rafael; Köhli, Markus; Piussi, L; Iwema, Joost; Schröter, Ingmar; Kögler, Simon; Oswald, Sascha E; Wollschläger, Ute; Samaniego, Luis; Dietrich, Peter; Zacharias, Steffen (2018): Cosmic-ray Neutron Rover Surveys of Field Soil Moisture and the Influence of Roads. Water Resources Research, 54(9), 6441-6459, https://doi.org/10.1029/2017WR021719
Coverage:
Median Latitude: 52.008578 * Median Longitude: 11.179557 * South-bound Latitude: 51.996390 * West-bound Longitude: 11.160060 * North-bound Latitude: 52.021050 * East-bound Longitude: 11.194280
Date/Time Start: 2020-08-05T08:14:06 * Date/Time End: 2020-08-05T09:11:32
Minimum ALTITUDE: 68.9 m * Maximum ALTITUDE: 91.1 m
Status:
Curation Level: Enhanced curation (CurationLevelC)
Size:
3658 data points

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