Articles | Volume 22, issue 11
https://doi.org/10.5194/hess-22-5889-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-22-5889-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
14 Nov 2018
Research article |
| 14 Nov 2018
| 14 Nov 2018
The value of satellite remote sensing soil moisture data and the DISPATCH algorithm in irrigation fields
Mireia Fontanet
CORRESPONDING AUTHOR
LabFerrer, Cervera, 25200, Spain
Department of Civil and Environmental Engineering, Universitat
Politècnica de Catalunya (UPC), Barcelona, 08034, Spain
Associated Unit: Hydrogeology Group (UPC-CSIC)
Daniel Fernàndez-Garcia
Department of Civil and Environmental Engineering, Universitat
Politècnica de Catalunya (UPC), Barcelona, 08034, Spain
Associated Unit: Hydrogeology Group (UPC-CSIC)
Francesc Ferrer
LabFerrer, Cervera, 25200, Spain
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Cited
27 citations as recorded by crossref.
- The impact of the decline in area of the storage areas on water level at downstream of the Sai Gon – Dong Nai river system V. Luong & D. Bui 10.1080/15715124.2019.1687488
- Water Allocation and Integrative Management of Precision Irrigation: A Systematic Review Z. Liang et al. 10.3390/w12113135
- Retrieval of High-Resolution Soil Moisture through Combination of Sentinel-1 and Sentinel-2 Data C. Ma et al. 10.3390/rs12142303
- The Combined Use of Remote Sensing and Wireless Sensor Network to Estimate Soil Moisture in Golf Course P. Mauri et al. 10.3390/app112411769
- Assessing the biophysical factors affecting irrigation performance in rice cultivation using remote sensing derived information A. Sawadogo et al. 10.1016/j.agwat.2022.108124
- Precision irrigation trends and perspectives: a review A. Gundim et al. 10.1590/0103-8478cr20220155
- Trapezoid-based surface soil moisture retrieval using a pixel-to-pixel scheme: A preliminary result over the North China Plain P. Leng et al. 10.1016/j.jhydrol.2022.128350
- An Assessment of the Accuracy of MODIS Land Surface Temperature over Egypt Using Ground-Based Measurements A. El Kenawy et al. 10.3390/rs11202369
- A Review of Irrigation Information Retrievals from Space and Their Utility for Users C. Massari et al. 10.3390/rs13204112
- Impacts of Climate Variability and Drought on Surface Water Resources in Sub-Saharan Africa Using Remote Sensing: A Review T. Bhaga et al. 10.3390/rs12244184
- A web-based system for satellite-based high-resolution global soil moisture maps M. Khazaei et al. 10.1016/j.cageo.2022.105250
- Dynamic Management Zones for Irrigation Scheduling M. Fontanet et al. 10.1016/j.agwat.2020.106207
- Investigating spatial relationship between vegetation cover and soil moisture using sentinel satellites: a case study of North Gondar Zone, Ethiopia W. Nega et al. 10.1080/14498596.2022.2133019
- Generating high spatial and temporal soil moisture data by disaggregation of SMAP product and its assessment in different land covers M. Khazaei et al. 10.1080/15481603.2020.1841987
- Disaggregation of SMAP Soil Moisture at 20 m Resolution: Validation and Sub-Field Scale Analysis G. Paolini et al. 10.3390/rs14010167
- A Calibration/Disaggregation Coupling Scheme for Retrieving Soil Moisture at High Spatio-Temporal Resolution: Synergy between SMAP Passive Microwave, MODIS/Landsat Optical/Thermal and Sentinel-1 Radar Data N. Ojha et al. 10.3390/s21217406
- Cosmic-Ray neutron Sensor PYthon tool (crspy 1.2.1): an open-source tool for the processing of cosmic-ray neutron and soil moisture data D. Power et al. 10.5194/gmd-14-7287-2021
- Towards near real-time national-scale soil water content monitoring using data fusion as a downscaling alternative I. Fuentes et al. 10.1016/j.jhydrol.2022.127705
- Advances in the Quality of Global Soil Moisture Products: A Review Y. Liu & Y. Yang 10.3390/rs14153741
- Deriving Field Scale Soil Moisture from Satellite Observations and Ground Measurements in a Hilly Agricultural Region L. Zappa et al. 10.3390/rs11222596
- Estimating multi-scale irrigation amounts using multi-resolution soil moisture data: A data-driven approach using PrISM G. Paolini et al. 10.1016/j.agwat.2023.108594
- Exploiting High-Resolution Remote Sensing Soil Moisture to Estimate Irrigation Water Amounts over a Mediterranean Region J. Dari et al. 10.3390/rs12162593
- A Wireless Underground Sensor Network Field Pilot for Agriculture and Ecology: Soil Moisture Mapping Using Signal Attenuation S. Balivada et al. 10.3390/s22103913
- The synergies of SMAP enhanced and MODIS products in a random forest regression for estimating 1 km soil moisture over Africa using Google Earth Engine F. Mohseni et al. 10.1080/20964471.2023.2257905
- Precision Irrigation Scheduling Based on Wireless Soil Moisture Sensors to Improve Water Use Efficiency and Yield for Winter Wheat in Sub-Saharan Africa M. Munyaradzi et al. 10.1155/2022/8820764
- Systematic review of Internet of Things in smart farming S. Terence & G. Purushothaman 10.1002/ett.3958
- A framework for estimating all-weather fine resolution soil moisture from the integration of physics-based and machine learning-based algorithms P. Leng et al. 10.1016/j.compag.2023.107673
27 citations as recorded by crossref.
- The impact of the decline in area of the storage areas on water level at downstream of the Sai Gon – Dong Nai river system V. Luong & D. Bui 10.1080/15715124.2019.1687488
- Water Allocation and Integrative Management of Precision Irrigation: A Systematic Review Z. Liang et al. 10.3390/w12113135
- Retrieval of High-Resolution Soil Moisture through Combination of Sentinel-1 and Sentinel-2 Data C. Ma et al. 10.3390/rs12142303
- The Combined Use of Remote Sensing and Wireless Sensor Network to Estimate Soil Moisture in Golf Course P. Mauri et al. 10.3390/app112411769
- Assessing the biophysical factors affecting irrigation performance in rice cultivation using remote sensing derived information A. Sawadogo et al. 10.1016/j.agwat.2022.108124
- Precision irrigation trends and perspectives: a review A. Gundim et al. 10.1590/0103-8478cr20220155
- Trapezoid-based surface soil moisture retrieval using a pixel-to-pixel scheme: A preliminary result over the North China Plain P. Leng et al. 10.1016/j.jhydrol.2022.128350
- An Assessment of the Accuracy of MODIS Land Surface Temperature over Egypt Using Ground-Based Measurements A. El Kenawy et al. 10.3390/rs11202369
- A Review of Irrigation Information Retrievals from Space and Their Utility for Users C. Massari et al. 10.3390/rs13204112
- Impacts of Climate Variability and Drought on Surface Water Resources in Sub-Saharan Africa Using Remote Sensing: A Review T. Bhaga et al. 10.3390/rs12244184
- A web-based system for satellite-based high-resolution global soil moisture maps M. Khazaei et al. 10.1016/j.cageo.2022.105250
- Dynamic Management Zones for Irrigation Scheduling M. Fontanet et al. 10.1016/j.agwat.2020.106207
- Investigating spatial relationship between vegetation cover and soil moisture using sentinel satellites: a case study of North Gondar Zone, Ethiopia W. Nega et al. 10.1080/14498596.2022.2133019
- Generating high spatial and temporal soil moisture data by disaggregation of SMAP product and its assessment in different land covers M. Khazaei et al. 10.1080/15481603.2020.1841987
- Disaggregation of SMAP Soil Moisture at 20 m Resolution: Validation and Sub-Field Scale Analysis G. Paolini et al. 10.3390/rs14010167
- A Calibration/Disaggregation Coupling Scheme for Retrieving Soil Moisture at High Spatio-Temporal Resolution: Synergy between SMAP Passive Microwave, MODIS/Landsat Optical/Thermal and Sentinel-1 Radar Data N. Ojha et al. 10.3390/s21217406
- Cosmic-Ray neutron Sensor PYthon tool (crspy 1.2.1): an open-source tool for the processing of cosmic-ray neutron and soil moisture data D. Power et al. 10.5194/gmd-14-7287-2021
- Towards near real-time national-scale soil water content monitoring using data fusion as a downscaling alternative I. Fuentes et al. 10.1016/j.jhydrol.2022.127705
- Advances in the Quality of Global Soil Moisture Products: A Review Y. Liu & Y. Yang 10.3390/rs14153741
- Deriving Field Scale Soil Moisture from Satellite Observations and Ground Measurements in a Hilly Agricultural Region L. Zappa et al. 10.3390/rs11222596
- Estimating multi-scale irrigation amounts using multi-resolution soil moisture data: A data-driven approach using PrISM G. Paolini et al. 10.1016/j.agwat.2023.108594
- Exploiting High-Resolution Remote Sensing Soil Moisture to Estimate Irrigation Water Amounts over a Mediterranean Region J. Dari et al. 10.3390/rs12162593
- A Wireless Underground Sensor Network Field Pilot for Agriculture and Ecology: Soil Moisture Mapping Using Signal Attenuation S. Balivada et al. 10.3390/s22103913
- The synergies of SMAP enhanced and MODIS products in a random forest regression for estimating 1 km soil moisture over Africa using Google Earth Engine F. Mohseni et al. 10.1080/20964471.2023.2257905
- Precision Irrigation Scheduling Based on Wireless Soil Moisture Sensors to Improve Water Use Efficiency and Yield for Winter Wheat in Sub-Saharan Africa M. Munyaradzi et al. 10.1155/2022/8820764
- Systematic review of Internet of Things in smart farming S. Terence & G. Purushothaman 10.1002/ett.3958
- A framework for estimating all-weather fine resolution soil moisture from the integration of physics-based and machine learning-based algorithms P. Leng et al. 10.1016/j.compag.2023.107673
Latest update: 02 Dec 2023
Short summary
One of the main objectives of remote sensing methodology is to downscale soil moisture to improve irrigation management. The DISPATCH algorithm is able to measure soil moisture at 1 km resolution using SMOS and MODIS data. In this work DISPATCH has been evaluated with soil moisture sensors, under heterogeneous conditions where local irrigation is applied. Results show that DISPATCH is not sensitive when local irrigation is applied even at low resolution.
One of the main objectives of remote sensing methodology is to downscale soil moisture to...
