Articles | Volume 9, issue 1
https://doi.org/10.5194/gi-9-117-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gi-9-117-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
06 Apr 2020
Research article |
| 06 Apr 2020
| 06 Apr 2020
Evaluating the suitability of the consumer low-cost Parrot Flower Power soil moisture sensor for scientific environmental applications
Angelika Xaver
CORRESPONDING AUTHOR
Department of Geodesy and Geoinformation, TU Wien, Wiedner Hauptstraße 8/E120, 1040 Vienna, Austria
Luca Zappa
Department of Geodesy and Geoinformation, TU Wien, Wiedner Hauptstraße 8/E120, 1040 Vienna, Austria
Gerhard Rab
Centre of Water Resource Systems, TU Wien, 1040 Vienna, Austria
Isabella Pfeil
Department of Geodesy and Geoinformation, TU Wien, Wiedner Hauptstraße 8/E120, 1040 Vienna, Austria
Centre of Water Resource Systems, TU Wien, 1040 Vienna, Austria
Mariette Vreugdenhil
Department of Geodesy and Geoinformation, TU Wien, Wiedner Hauptstraße 8/E120, 1040 Vienna, Austria
Centre of Water Resource Systems, TU Wien, 1040 Vienna, Austria
Drew Hemment
Edinburgh Futures Institute and Edinburgh College of Art, University of Edinburgh, Edinburgh, UK
Wouter Arnoud Dorigo
CORRESPONDING AUTHOR
Department of Geodesy and Geoinformation, TU Wien, Wiedner Hauptstraße 8/E120, 1040 Vienna, Austria
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Total article views: 3,993 (including HTML, PDF, and XML)
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Cited
16 citations as recorded by crossref.
- Low-Cost Autonomous 3D-Printed Mini Disk Infiltrometer J. Kubát et al.
- A Novel Fusion Method for Generating Surface Soil Moisture Data With High Accuracy, High Spatial Resolution, and High Spatio‐Temporal Continuity S. Huang et al.
- Estimation of Evapotranspiration Rates and Root Water Uptake Profiles From Soil Moisture Sensor Array Data W. Li et al.
- Uncertainty estimation for a new exponential-filter-based long-term root-zone soil moisture dataset from Copernicus Climate Change Service (C3S) surface observations A. Pasik et al.
- The International Soil Moisture Network: serving Earth system science for over a decade W. Dorigo et al.
- Spatiotemporal evaluation of downscaled and native high-resolution satellite soil moisture products P. Stradiotti et al.
- Data fusion for low-cost sensors: A systematic literature review G. Oduori et al.
- Hybrid Methodology Using Sentinel-1/Sentinel-2 for Soil Moisture Estimation S. Nativel et al.
- Estimating the uncertainties of satellite derived soil moisture at global scale F. Gibon et al.
- Intercomparison of Earth Observation products for hyper-resolution hydrological modelling over Europe A. García-García et al.
- Citizen science supporting agricultural monitoring with hundreds of low-cost sensors in comparison to remote sensing data C. Corbari et al.
- Integrated modelling of soil moisture by evaluating backscattering models Dubois, Oh and IoT sensor development for field moisture estimation A. Shakya et al.
- Global Evaluation of SMAP/Sentinel-1 Soil Moisture Products F. Mohseni et al.
- Soil Moisture Estimation Using Citizen Observatory Data, Microwave Satellite Imagery, and Environmental Covariates D. Kibirige & E. Dobos
- Accounting for seasonal retrieval errors in the merging of multi-sensor satellite soil moisture products P. Stradiotti et al.
- ESA CCI Soil Moisture GAPFILLED: an independent global gap-free satellite climate data record with uncertainty estimates W. Preimesberger et al.
16 citations as recorded by crossref.
- Low-Cost Autonomous 3D-Printed Mini Disk Infiltrometer J. Kubát et al.
- A Novel Fusion Method for Generating Surface Soil Moisture Data With High Accuracy, High Spatial Resolution, and High Spatio‐Temporal Continuity S. Huang et al.
- Estimation of Evapotranspiration Rates and Root Water Uptake Profiles From Soil Moisture Sensor Array Data W. Li et al.
- Uncertainty estimation for a new exponential-filter-based long-term root-zone soil moisture dataset from Copernicus Climate Change Service (C3S) surface observations A. Pasik et al.
- The International Soil Moisture Network: serving Earth system science for over a decade W. Dorigo et al.
- Spatiotemporal evaluation of downscaled and native high-resolution satellite soil moisture products P. Stradiotti et al.
- Data fusion for low-cost sensors: A systematic literature review G. Oduori et al.
- Hybrid Methodology Using Sentinel-1/Sentinel-2 for Soil Moisture Estimation S. Nativel et al.
- Estimating the uncertainties of satellite derived soil moisture at global scale F. Gibon et al.
- Intercomparison of Earth Observation products for hyper-resolution hydrological modelling over Europe A. García-García et al.
- Citizen science supporting agricultural monitoring with hundreds of low-cost sensors in comparison to remote sensing data C. Corbari et al.
- Integrated modelling of soil moisture by evaluating backscattering models Dubois, Oh and IoT sensor development for field moisture estimation A. Shakya et al.
- Global Evaluation of SMAP/Sentinel-1 Soil Moisture Products F. Mohseni et al.
- Soil Moisture Estimation Using Citizen Observatory Data, Microwave Satellite Imagery, and Environmental Covariates D. Kibirige & E. Dobos
- Accounting for seasonal retrieval errors in the merging of multi-sensor satellite soil moisture products P. Stradiotti et al.
- ESA CCI Soil Moisture GAPFILLED: an independent global gap-free satellite climate data record with uncertainty estimates W. Preimesberger et al.
Saved (final revised paper)
Latest update: 29 Apr 2026
Short summary
Soil moisture plays a key role in the hydrological cycle and the climate system. Although soil moisture can be observed by the means of satellites, ground observations are still crucial for evaluating and improving these satellite products. In this study, we investigate the performance of a consumer low-cost soil moisture sensor in the lab and in the field. We demonstrate that this sensor can be used for scientific applications, for example to create a dataset valuable for satellite validation.
Soil moisture plays a key role in the hydrological cycle and the climate system. Although soil...
