Articles | Volume 13, issue 1
https://doi.org/10.5194/gi-13-163-2024
https://doi.org/10.5194/gi-13-163-2024
Research article
 | 
06 Jun 2024
Research article |  | 06 Jun 2024

Calibrating low-cost rain gauge sensors for their applications in Internet of Things (IoT) infrastructures to densify environmental monitoring networks

Robert Krüger, Pierre Karrasch, and Anette Eltner

Related authors

Using 3D observations with high spatio-temporal resolution to calibrate and evaluate a process-focused cellular automaton model of soil erosion by water
Anette Eltner, David Favis-Mortlock, Oliver Grothum, Martin Neumann, Tomas Laburda, and Petr Kavka
EGUsphere, https://doi.org/10.5194/egusphere-2024-2648,https://doi.org/10.5194/egusphere-2024-2648, 2024
Short summary
AI-Based Tracking of Fast-Moving Alpine Landforms Using High Frequency Monoscopic Time-Lapse Imagery
Hanne Hendrickx, Xabier Blanch, Melanie Elias, Reynald Delaloye, and Anette Eltner
EGUsphere, https://doi.org/10.5194/egusphere-2024-2570,https://doi.org/10.5194/egusphere-2024-2570, 2024
Short summary
UAS Photogrammetry for Precise Digital Elevation Models of Complex Topography: A Strategy Guide
Melanie Elias, Steffen Isfort, Anette Eltner, and Hans-Gerd Maas
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-2-2024, 57–64, https://doi.org/10.5194/isprs-annals-X-2-2024-57-2024,https://doi.org/10.5194/isprs-annals-X-2-2024-57-2024, 2024
USING MACHINE LEARNING TECHNIQUES TO FILTER VEGETATION IN COLORIZED SFM POINT CLOUDS OF SOIL SURFACES
O. Grothum, A. Bienert, M. Bluemlein, and A. Eltner
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W2-2023, 163–170, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-163-2023,https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-163-2023, 2023
Fixed photogrammetric systems for natural hazard monitoring with high spatio-temporal resolution
Xabier Blanch, Marta Guinau, Anette Eltner, and Antonio Abellan
Nat. Hazards Earth Syst. Sci., 23, 3285–3303, https://doi.org/10.5194/nhess-23-3285-2023,https://doi.org/10.5194/nhess-23-3285-2023, 2023
Short summary

Related subject area

Sensor
A distributed-temperature-sensing-based soil temperature profiler
Bart Schilperoort, César Jiménez Rodríguez, Bas van de Wiel, and Miriam Coenders-Gerrits
Geosci. Instrum. Method. Data Syst., 13, 85–95, https://doi.org/10.5194/gi-13-85-2024,https://doi.org/10.5194/gi-13-85-2024, 2024
Short summary
Ultra-low-cost manual soil respiration chamber
Bartosz M. Zawilski and Vincent Bustillo
Geosci. Instrum. Method. Data Syst., 13, 51–62, https://doi.org/10.5194/gi-13-51-2024,https://doi.org/10.5194/gi-13-51-2024, 2024
Short summary
Testing a novel sensor design to jointly measure cosmic-ray neutrons, muons and gamma rays for non-invasive soil moisture estimation
Stefano Gianessi, Matteo Polo, Luca Stevanato, Marcello Lunardon, Till Francke, Sascha E. Oswald, Hami Said Ahmed, Arsenio Toloza, Georg Weltin, Gerd Dercon, Emil Fulajtar, Lee Heng, and Gabriele Baroni
Geosci. Instrum. Method. Data Syst., 13, 9–25, https://doi.org/10.5194/gi-13-9-2024,https://doi.org/10.5194/gi-13-9-2024, 2024
Short summary
Development of an expendable current profiler based on modulation and demodulation
Keyu Zhou, Qisheng Zhang, Guangyuan Chen, Zucan Lin, Yunliang Liu, and Pengyu Li
Geosci. Instrum. Method. Data Syst., 12, 57–69, https://doi.org/10.5194/gi-12-57-2023,https://doi.org/10.5194/gi-12-57-2023, 2023
Short summary
Research into using a fiber Bragg grating sensor group for three-dimensional in situ stress measurement
Yimin Liu, Zhengyang Hou, Hao Zhou, Guiyun Gao, Lu Yang, Pu Wang, and Peng Wang
Geosci. Instrum. Method. Data Syst., 11, 59–73, https://doi.org/10.5194/gi-11-59-2022,https://doi.org/10.5194/gi-11-59-2022, 2022
Short summary

Cited articles

Adla, S., Rai, N. K., Karumanchi, S. H., Tripathi, S., Disse, M., and Pande, S.: Laboratory Calibration and Performance Evaluation of Low-Cost Capacitive and Very Low-Cost Resistive Soil Moisture Sensors, Sensors, 20, 363, https://doi.org/10.3390/s20020363, 2020. 
Blanch, X., Abellan, A., and Guinau, M.: Point Cloud Stacking: A Workflow to Enhance 3D Monitoring Capabilities Using Time-Lapse Cameras, Remote Sens., 12, 1240, https://doi.org/10.3390/rs12081240, 2020. 
Brown, S. L., Goulsbra, C. S., Evans, M. G., Heath, T., and Shuttleworth, E.: Low cost CO2 sensing: A simple microcontroller approach with calibration and field use, HardwareX, 8, e00136, https://doi.org/10.1016/j.ohx.2020.e00136, 2020. 
Burt, S.: The Davis Instruments Vantage Pro2 wireless AWS – an independent evaluation against UK-standard meteorological instruments, https://www.weatherstations.co.uk/wp-content/uploads/Prodata-Expert-Guide-No.-1-Davis-VP2-AWS-c-Stephen-Burt-2009.pdf (last access: 4 June 2024), 2009. 
Chair of Meteorology: Tharandt Klimastation, https://tu-dresden.de/bu/umwelt/hydro/ihm/meteorologie/forschung/mess-und-versuchsstationen/tharandt-klimastation?set_language=de (last access: 10 May 2023), 2023. 
Download
Short summary
Low-cost sensors could fill gaps in existing observation networks. To ensure data quality, the quality of the factory calibration of a given sensor has to be evaluated if the sensor is used out of the box. Here, the factory calibration of a widely used low-cost rain gauge type has been tested both in the lab (66) and in the field (20). The results of the study suggest that the calibration of this particular type should at least be checked for every sensor before being used.