On the potential of Sentinel-1 for sub-field scale soil moisture monitoring
Soil moisture (SM) datasets at high spatial resolutions are beneficial for a wide range of applications, such as monitoring and prediction of hydrological extremes, numerical weather prediction, and precision agriculture. For large scale applications in particular, remotely sensed SM has advantages over in situ data because it provides gridded estimates and because it is less labour-intensive. However, until present, active microwave SM data have not been presented at their native spatial resolution, since the quality of these data is limited by speckle. We explored the potential and limits of high spatial resolution of active microwave SM observations. We used a Sentinel-1 C-band SAR SM dataset at six spatial resolutions ranging from 20 × 20 to 120 × 120 m2. This was compared to a closely spaced (20 m) in situ dataset collected on a non-irrigated agricultural field (±2.5 ha) in the Southeast of Luxembourg. A comparison of the field and satellite datasets demonstrated how Sentinel-1 data with a high spatial resolution can be used to quantify temporal within-field SM variability. SM was accurately estimated at spatial resolutions of 60 × 60 m2 and coarser, where the temporal correlation was found to be 0.67 and sub-field variations in SM were still detected. Spatial correlation was limited by the absence of SM variability within the field. These results indicate that high spatial resolution SM estimates from Sentinel-1 data can be valuable for monitoring temporal SM variations within agricultural fields.
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| Format: | Article/Letter to editor biblioteca |
| Language: | English |
| Subjects: | C-band SAR, Experimental field study, High resolution, Sentinel-1, Soil moisture, |
| Online Access: | https://research.wur.nl/en/publications/on-the-potential-of-sentinel-1-for-sub-field-scale-soil-moisture- |
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dig-wur-nl-wurpubs-6172812024-10-30 van Hateren, T.C. Chini, M. Matgen, P. Pulvirenti, L. Pierdicca, N. Teuling, A.J. Article/Letter to editor International Journal of applied Earth Observation and Geoinformation 120 (2023) ISSN: 1569-8432 On the potential of Sentinel-1 for sub-field scale soil moisture monitoring 2023 Soil moisture (SM) datasets at high spatial resolutions are beneficial for a wide range of applications, such as monitoring and prediction of hydrological extremes, numerical weather prediction, and precision agriculture. For large scale applications in particular, remotely sensed SM has advantages over in situ data because it provides gridded estimates and because it is less labour-intensive. However, until present, active microwave SM data have not been presented at their native spatial resolution, since the quality of these data is limited by speckle. We explored the potential and limits of high spatial resolution of active microwave SM observations. We used a Sentinel-1 C-band SAR SM dataset at six spatial resolutions ranging from 20 × 20 to 120 × 120 m2. This was compared to a closely spaced (20 m) in situ dataset collected on a non-irrigated agricultural field (±2.5 ha) in the Southeast of Luxembourg. A comparison of the field and satellite datasets demonstrated how Sentinel-1 data with a high spatial resolution can be used to quantify temporal within-field SM variability. SM was accurately estimated at spatial resolutions of 60 × 60 m2 and coarser, where the temporal correlation was found to be 0.67 and sub-field variations in SM were still detected. Spatial correlation was limited by the absence of SM variability within the field. These results indicate that high spatial resolution SM estimates from Sentinel-1 data can be valuable for monitoring temporal SM variations within agricultural fields. en application/pdf https://research.wur.nl/en/publications/on-the-potential-of-sentinel-1-for-sub-field-scale-soil-moisture- 10.1016/j.jag.2023.103342 https://edepot.wur.nl/635606 C-band SAR Experimental field study High resolution Sentinel-1 Soil moisture https://creativecommons.org/licenses/by/4.0/ https://creativecommons.org/licenses/by/4.0/ Wageningen University & Research |
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C-band SAR Experimental field study High resolution Sentinel-1 Soil moisture C-band SAR Experimental field study High resolution Sentinel-1 Soil moisture |
| spellingShingle |
C-band SAR Experimental field study High resolution Sentinel-1 Soil moisture C-band SAR Experimental field study High resolution Sentinel-1 Soil moisture van Hateren, T.C. Chini, M. Matgen, P. Pulvirenti, L. Pierdicca, N. Teuling, A.J. On the potential of Sentinel-1 for sub-field scale soil moisture monitoring |
| description |
Soil moisture (SM) datasets at high spatial resolutions are beneficial for a wide range of applications, such as monitoring and prediction of hydrological extremes, numerical weather prediction, and precision agriculture. For large scale applications in particular, remotely sensed SM has advantages over in situ data because it provides gridded estimates and because it is less labour-intensive. However, until present, active microwave SM data have not been presented at their native spatial resolution, since the quality of these data is limited by speckle. We explored the potential and limits of high spatial resolution of active microwave SM observations. We used a Sentinel-1 C-band SAR SM dataset at six spatial resolutions ranging from 20 × 20 to 120 × 120 m2. This was compared to a closely spaced (20 m) in situ dataset collected on a non-irrigated agricultural field (±2.5 ha) in the Southeast of Luxembourg. A comparison of the field and satellite datasets demonstrated how Sentinel-1 data with a high spatial resolution can be used to quantify temporal within-field SM variability. SM was accurately estimated at spatial resolutions of 60 × 60 m2 and coarser, where the temporal correlation was found to be 0.67 and sub-field variations in SM were still detected. Spatial correlation was limited by the absence of SM variability within the field. These results indicate that high spatial resolution SM estimates from Sentinel-1 data can be valuable for monitoring temporal SM variations within agricultural fields. |
| format |
Article/Letter to editor |
| topic_facet |
C-band SAR Experimental field study High resolution Sentinel-1 Soil moisture |
| author |
van Hateren, T.C. Chini, M. Matgen, P. Pulvirenti, L. Pierdicca, N. Teuling, A.J. |
| author_facet |
van Hateren, T.C. Chini, M. Matgen, P. Pulvirenti, L. Pierdicca, N. Teuling, A.J. |
| author_sort |
van Hateren, T.C. |
| title |
On the potential of Sentinel-1 for sub-field scale soil moisture monitoring |
| title_short |
On the potential of Sentinel-1 for sub-field scale soil moisture monitoring |
| title_full |
On the potential of Sentinel-1 for sub-field scale soil moisture monitoring |
| title_fullStr |
On the potential of Sentinel-1 for sub-field scale soil moisture monitoring |
| title_full_unstemmed |
On the potential of Sentinel-1 for sub-field scale soil moisture monitoring |
| title_sort |
on the potential of sentinel-1 for sub-field scale soil moisture monitoring |
| url |
https://research.wur.nl/en/publications/on-the-potential-of-sentinel-1-for-sub-field-scale-soil-moisture- |
| work_keys_str_mv |
AT vanhaterentc onthepotentialofsentinel1forsubfieldscalesoilmoisturemonitoring AT chinim onthepotentialofsentinel1forsubfieldscalesoilmoisturemonitoring AT matgenp onthepotentialofsentinel1forsubfieldscalesoilmoisturemonitoring AT pulvirentil onthepotentialofsentinel1forsubfieldscalesoilmoisturemonitoring AT pierdiccan onthepotentialofsentinel1forsubfieldscalesoilmoisturemonitoring AT teulingaj onthepotentialofsentinel1forsubfieldscalesoilmoisturemonitoring |
| _version_ |
1816151484165783552 |