TR32-Database: Database of Transregio 32

[579] - Calibration and Temperature Correction on Time Domain Transmission Sensors

All available metadata of the dataset are listed below. Some features are available, e.g. download of dataset or additional description file.

Qu, W., 2012. Calibration and Temperature Correction on Time Domain Transmission Sensors. PhD Report, Institute of Bio and Geosciences Agrosphere (IBG-3), Research Center Jülich, Jülich, Germany. Accessed from at 2017-06-26.
Title(s):Main Title: Calibration and Temperature Correction on Time Domain Transmission Sensors
Description(s):Abstract: The knowledge of variability and temporal stability of soil water content (SWC) is useful for the development of ground truthing strategies of remotely sensed measurements and for hydrolgoical modelling. In this study SWC was determined by a combination of a wireless sensor network (SoilNet) and time domain transmission sensors (TDT). The SoilNet was installed in a grassland headwater catchment in Western Germany within the framework of the TERENO initiative. The nodes of the sensor network were arranged using a 60m grid con guration, with some randomly distributed nodes in between to assess small scale variability. Additionally, meteorological data were obtained from existing weather station at the test site. The TDT sensors were installed at depths of 5, 20 and 50 cm. Soil water content from the TDT sensor response was retrieved using a two-step approach. First, using the Sensor response-permittivity (SRP) model to get the permittivity of the soil, the root mean square error (RMSE) was 1.0171, which was used to express the accuracy of the SRP model. Second, The complex refraction index model (CRIM) was used and tted to determine the soil water content (SWC) from the permittivity. The experimental results showed that the CRIM model was able to accurately estimate SWC, with RMSE of 0.02822 (5 cm) and 0.02043 (20 and 50 cm). We tted only the permittivity of the soil particles (2.08 at 5 cm and 3.74 at 20 and 50 cm). The total RMSE from the two-step calibration were 1.0832 for 5cm and 1.0176 for 20 and 50cm. Temperature will a ect the output of the dielectric soil water content sensors through various ways (the sensor circuit, the dielectric constant of free water, the soil water interaction). To correct the temperature e ect, we have done some experiment in the lab to get the correct equations for the soil water content. After all the e orts, the amplitude of the apparent dielectric permittivity is smaller than before, but we still have some amplitude of the data from the wireless sensor network in Rollesbroich, for this part we assume that it is because of the evapotransporation is di erent during the day and night in the field.
Responsible Party
Creator(s):Author: Wie Qu
Publisher:CRC/TR32 Database (TR32DB)
TR32 Topic:Other
Subject(s):CRC/TR32 Keywords: PhD Report
File Details
File Name:Report3_Qu_2012.pdf
Data Type:Text
File Size:1428 kB (1.395 MB)
Date(s):Available: 2012-05-01
Mime Type:application/pdf
Data Format:PDF
Download Permission:OnlyTR32
General Access and Use Conditions:According to the TR32DB data policy agreement.
Access Limitations:According to the TR32DB data policy agreement.
Licence:TR32DB Data policy agreement
Measurement Region:Kall
Measurement Location:Rollesbroich
Specific Informations - Report
Report Date:1st of May, 2012
Report Type:PhD Report
Report City:Jülich, Germany
Report Institution:Institute of Bio and Geosciences Agrosphere (IBG-3), Research Center Jülich
Number Of Pages:12
Period of Pages:1 - 12
Further Informations:TR31 Student Report Phase II
Metadata Details
Metadata Creator:Wei Qu
Metadata Created:2013-12-04
Metadata Last Updated:2013-12-04
Funding Phase:2
Metadata Language:English
Metadata Version:V40
Dataset Metrics
Page Visits:100
Metadata Downloads:0
Dataset Downloads:0
Dataset Activity