Articles | Volume 22, issue 11
Hydrol. Earth Syst. Sci., 22, 5889–5900, 2018
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.
Hydrol. Earth Syst. Sci., 22, 5889–5900, 2018
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
The value of satellite remote sensing soil moisture data and the DISPATCH algorithm in irrigation fields
Mireia Fontanet et al.
Viewed
Total article views: 3,310 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 05 Apr 2018)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,916 | 1,360 | 34 | 3,310 | 56 | 63 |
- HTML: 1,916
- PDF: 1,360
- XML: 34
- Total: 3,310
- BibTeX: 56
- EndNote: 63
Total article views: 2,542 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 14 Nov 2018)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,475 | 1,040 | 27 | 2,542 | 39 | 46 |
- HTML: 1,475
- PDF: 1,040
- XML: 27
- Total: 2,542
- BibTeX: 39
- EndNote: 46
Total article views: 768 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 05 Apr 2018)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 441 | 320 | 7 | 768 | 17 | 17 |
- HTML: 441
- PDF: 320
- XML: 7
- Total: 768
- BibTeX: 17
- EndNote: 17
Viewed (geographical distribution)
Total article views: 3,310 (including HTML, PDF, and XML)
Thereof 2,955 with geography defined
and 355 with unknown origin.
Total article views: 2,542 (including HTML, PDF, and XML)
Thereof 2,200 with geography defined
and 342 with unknown origin.
Total article views: 768 (including HTML, PDF, and XML)
Thereof 755 with geography defined
and 13 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
16 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
- 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
- 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
- Deriving Field Scale Soil Moisture from Satellite Observations and Ground Measurements in a Hilly Agricultural Region L. Zappa et al. 10.3390/rs11222596
- The Combined Use of Remote Sensing and Wireless Sensor Network to Estimate Soil Moisture in Golf Course P. Mauri et al. 10.3390/app112411769
- 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
- Dynamic Management Zones for Irrigation Scheduling M. Fontanet et al. 10.1016/j.agwat.2020.106207
- Exploiting High-Resolution Remote Sensing Soil Moisture to Estimate Irrigation Water Amounts over a Mediterranean Region J. Dari et al. 10.3390/rs12162593
- 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
- Systematic review of Internet of Things in smart farming S. Terence & G. Purushothaman 10.1002/ett.3958
16 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
- 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
- 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
- Deriving Field Scale Soil Moisture from Satellite Observations and Ground Measurements in a Hilly Agricultural Region L. Zappa et al. 10.3390/rs11222596
- The Combined Use of Remote Sensing and Wireless Sensor Network to Estimate Soil Moisture in Golf Course P. Mauri et al. 10.3390/app112411769
- 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
- Dynamic Management Zones for Irrigation Scheduling M. Fontanet et al. 10.1016/j.agwat.2020.106207
- Exploiting High-Resolution Remote Sensing Soil Moisture to Estimate Irrigation Water Amounts over a Mediterranean Region J. Dari et al. 10.3390/rs12162593
- 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
- Systematic review of Internet of Things in smart farming S. Terence & G. Purushothaman 10.1002/ett.3958
Latest update: 28 Jan 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...
