Soil moisture distribution at the Hordorf (Central Germany) groundtruthing site determined by mobile Cosmic Ray Neutron Sensing
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| Formato: | Dataset Open Access |
| Lenguaje: | en |
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PANGAEA
2021
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| _version_ | 1867171307207000064 |
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| author | Schrön, Martin Schoßland, Andreas Rebmann, Corinna |
| author_facet | Schrön, Martin Schoßland, Andreas Rebmann, Corinna |
| collection | Datos científicos de ciencias marinas y ambientales |
| contents | 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. |
| format | Dataset Open Access |
| id | pangaea_https___doi_org_10_1594_PANGAEA_934199 |
| institution | PANGAEA |
| language | en |
| publishDate | 2021 |
| publisher | PANGAEA |
| record_format | pangaea |
| spellingShingle | Soil moisture distribution at the Hordorf (Central Germany) groundtruthing site determined by mobile Cosmic Ray Neutron Sensing Schrön, Martin Schoßland, Andreas Rebmann, Corinna Absolute stochastic uncertainty of the neutron measurement calculation according to Jakobi et al. (2020); ALTITUDE; Calculation according to Schrön et al. (2017); Cosmic-ray neutron counts; Cosmic ray neutron sensing (CRNS) sensor, Hydroinnova, HI-RC01; DATE/TIME; drought; evapotranspiration; Footprint size; Groundtruthing; heatwave; HI-RC01; Humidity, relative; LATITUDE; LONGITUDE; Lower stochastic uncertainty of the soil moisture derived from error propagation theory; Modular Observation Solutions for Earth Systems; MOSES; Neutron counts corrected for air humidity, air pressure, and incoming cosmic radiation; Penetration depth; Pressure, atmospheric; remote sensing; Soil moisture; Soil Moisture; Temperature, air; Upper stochastic uncertainty of the soil moisture derived from error propagation theory; Volumetric soil moisture calculation according to Schrön et al. (2018) 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. |
| title | Soil moisture distribution at the Hordorf (Central Germany) groundtruthing site determined by mobile Cosmic Ray Neutron Sensing |
| topic | Absolute stochastic uncertainty of the neutron measurement calculation according to Jakobi et al. (2020); ALTITUDE; Calculation according to Schrön et al. (2017); Cosmic-ray neutron counts; Cosmic ray neutron sensing (CRNS) sensor, Hydroinnova, HI-RC01; DATE/TIME; drought; evapotranspiration; Footprint size; Groundtruthing; heatwave; HI-RC01; Humidity, relative; LATITUDE; LONGITUDE; Lower stochastic uncertainty of the soil moisture derived from error propagation theory; Modular Observation Solutions for Earth Systems; MOSES; Neutron counts corrected for air humidity, air pressure, and incoming cosmic radiation; Penetration depth; Pressure, atmospheric; remote sensing; Soil moisture; Soil Moisture; Temperature, air; Upper stochastic uncertainty of the soil moisture derived from error propagation theory; Volumetric soil moisture calculation according to Schrön et al. (2018) |
| url | https://doi.org/10.1594/PANGAEA.934199 |