The dataset contains the soil wetness monitoring data from the publication Wicki et al. (2022). It was collected in Wasen i.E. (Napf area, Switzerland). The monitoring data is quality-controlled and aggregated to hourly values and it is provided for the study period 2019-04-05 to 2022-04-30. The following information is contained (by column): * Timestamp (UTC+1 time zone) * Site: Slope (47.02486 N, 7.81960 E), Flat (47.02302 N, 7.81760 E) * Sensor type * Measure: VWC = volumetric water content [m3 m-3], MP = matric potential [hPa], TEMP = temperature [°C], PREC = precipitation [mm] * Sensor number (per site each sensor is provided a unique identifier) * Installation depth [m] * Homogenization flag: If the data is considered homogeneous, it is given the flag 1, else the flag 0 is given * Sensor value * Normalized value: Normalization was conducted for VWC (saturation) and MP values Wicki, A., Lehmann, P., Hauck, C., and Stähli, M.: Impact of topography on in-situ soil wetness measurements for regional landslide early warning – a case study from the Swiss Alpine Foreland, Nat. Hazards Earth Syst. Sci. Discuss. [preprint], https://doi.org/10.5194/nhess-2022-211, in review, 2022.
L o a d i n g
Organization
Swiss Federal Institute for Forest, Snow and Landscape Research - view all
Update frequencyunknown
Last updated2 years ago
Format
OverviewLANDSLIDE EARLY WARNINGMATRIC POTENTIALMONITORINGSHALLOW LANDSLIDESSOIL MOISTURE
Additional Information
KeyValue
Harvest Object Ided3c83e7-1112-4de0-a7f3-378173c8c85d
Harvest Source Id8fc5dcf9-738c-468f-985c-d55347a92f88
Harvest Source TitleEnviDat
