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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Cited
12 citations as recorded by crossref.
- Citizen science supporting agricultural monitoring with hundreds of low-cost sensors in comparison to remote sensing data C. Corbari et al. 10.1080/22797254.2022.2084643
- Integrated modelling of soil moisture by evaluating backscattering models Dubois, Oh and IoT sensor development for field moisture estimation A. Shakya et al. 10.1007/s40808-023-01693-7
- 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. 10.1029/2021WR030827
- Estimation of Evapotranspiration Rates and Root Water Uptake Profiles From Soil Moisture Sensor Array Data W. Li et al. 10.1029/2021WR030747
- Global Evaluation of SMAP/Sentinel-1 Soil Moisture Products F. Mohseni et al. 10.3390/rs14184624
- Soil Moisture Estimation Using Citizen Observatory Data, Microwave Satellite Imagery, and Environmental Covariates D. Kibirige & E. Dobos 10.3390/w12082160
- 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. 10.5194/gmd-16-4957-2023
- The International Soil Moisture Network: serving Earth system science for over a decade W. Dorigo et al. 10.5194/hess-25-5749-2021
- Hybrid Methodology Using Sentinel-1/Sentinel-2 for Soil Moisture Estimation S. Nativel et al. 10.3390/rs14102434
- Estimating the uncertainties of satellite derived soil moisture at global scale F. Gibon et al. 10.1016/j.srs.2024.100147
- The not-so-micro effects of in-furrow micro-dams and cover crops on water and sediment retention in potato fields M. Konzett et al. 10.1016/j.still.2023.105911
- Local Action with Global Impact: The Case of the GROW Observatory and the Sustainable Development Goals R. Ajates et al. 10.3390/su122410518
10 citations as recorded by crossref.
- Citizen science supporting agricultural monitoring with hundreds of low-cost sensors in comparison to remote sensing data C. Corbari et al. 10.1080/22797254.2022.2084643
- Integrated modelling of soil moisture by evaluating backscattering models Dubois, Oh and IoT sensor development for field moisture estimation A. Shakya et al. 10.1007/s40808-023-01693-7
- 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. 10.1029/2021WR030827
- Estimation of Evapotranspiration Rates and Root Water Uptake Profiles From Soil Moisture Sensor Array Data W. Li et al. 10.1029/2021WR030747
- Global Evaluation of SMAP/Sentinel-1 Soil Moisture Products F. Mohseni et al. 10.3390/rs14184624
- Soil Moisture Estimation Using Citizen Observatory Data, Microwave Satellite Imagery, and Environmental Covariates D. Kibirige & E. Dobos 10.3390/w12082160
- 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. 10.5194/gmd-16-4957-2023
- The International Soil Moisture Network: serving Earth system science for over a decade W. Dorigo et al. 10.5194/hess-25-5749-2021
- Hybrid Methodology Using Sentinel-1/Sentinel-2 for Soil Moisture Estimation S. Nativel et al. 10.3390/rs14102434
- Estimating the uncertainties of satellite derived soil moisture at global scale F. Gibon et al. 10.1016/j.srs.2024.100147
2 citations as recorded by crossref.
- The not-so-micro effects of in-furrow micro-dams and cover crops on water and sediment retention in potato fields M. Konzett et al. 10.1016/j.still.2023.105911
- Local Action with Global Impact: The Case of the GROW Observatory and the Sustainable Development Goals R. Ajates et al. 10.3390/su122410518
Latest update: 23 Nov 2024
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...
