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Updated: May 8, 2026

In Situ Soil Moisture Sensors in Undisturbed Soils
Published on: November 18, 2022
Assessing temporal stability for coarse scale satellite moisture validation in the Maqu area, Tibet
Haris Akram Bhatti1, Tom Rientjes, Wouter Verhoef
1Department of Water Resources, Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede, The Netherlands. bhatti23984@itc.nl
The temporal stability concept can validate satellite soil moisture data, with 10 cm depth probes showing the best match. Further research is recommended for broader satellite validation procedures.
Area of Science:
- Earth Science
- Remote Sensing
- Hydrology
Background:
- Satellite soil moisture products require robust validation methods.
- Temporal stability analysis is a potential technique for extending satellite image validation.
Purpose of the Study:
- To assess the applicability of the temporal stability concept to time series of satellite soil moisture images.
- To evaluate the suitability of an in-situ soil moisture network for validating coarse-scale satellite products.
Main Methods:
- Applied the temporal stability concept to an in-situ soil moisture network (20 stations, 5 depths) and satellite data (AMSR-E) in the Maqu area.
- Utilized Pearson's correlation analysis to assess in-situ measurements.
- Compared in-situ probe data with satellite-derived soil moisture products.
Main Results:
- Temporal stability analysis proved useful, indicating 10 cm depth probe measurements best correlated with satellite observations.
- A Representative Mean Soil Moisture (RMSM) pixel was identified, but it did not coincide with any in-situ stations.
- In-situ data analysis revealed that soil moisture patterns are more temporally persistent than spatially.
Conclusions:
- The temporal stability concept shows promise for satellite soil moisture validation.
- Soil moisture probes at 10 cm depth offer the best agreement with satellite data in this study.
- Further investigations are needed to confirm the effectiveness of this approach for widespread satellite validation.
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