On the potential of Sentinel-1 for sub-field scale soil moisture monitoring

T.C. van Hateren*, M. Chini, P. Matgen, L. Pulvirenti, N. Pierdicca, A.J. Teuling

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

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.

Original languageEnglish
Article number103342
Number of pages15
JournalInternational Journal of applied Earth Observation and Geoinformation
Volume120
DOIs
Publication statusPublished - Jun 2023

Keywords

  • C-band SAR
  • Experimental field study
  • High resolution
  • Sentinel-1
  • Soil moisture

Fingerprint

Dive into the research topics of 'On the potential of Sentinel-1 for sub-field scale soil moisture monitoring'. Together they form a unique fingerprint.

Cite this