dataset · Zenodo (CERN European Organization for Nuclear Research)
This dataset provides 1,204 georeferenced in situ surface soil moisture measurements collected across irrigated agricultural areas in central-western Morocco. Measurements were acquired using the Delta-T Devices WET150 sensor under two irrigation systems: 470 observations from drip irrigated fields and 734 observations from flood irrigated fields. Field campaigns were coordinated with Sentinel-1, Sentinel-2, and Landsat 8/9 satellite overpasses across 25 acquisition dates between December 2024 and March 2026. The dataset contains 581 observations associated with Sentinel-1, 645 with Sentinel-2, and 446 with Landsat 8/9. Some field campaigns correspond to more than one satellite platform. Each observation includes volumetric surface soil moisture, soil temperature, pore-water electrical conductivity (ECp), geographic coordinates, sampling date and time, irrigation type, land-cover information, field photographs, and soil-texture attributes. Soil texture was characterized using SoilGrids 2.0 sand, silt, and clay fractions for the 0–5 cm depth interval. The WET150 soil-moisture measurements were calibrated against gravimetric reference measurements using soil-specific calibration relationships. Calibration A was developed for loam and sandy clay loam soils using 38 paired samples, while Calibration B was developed for clay loam soil using 19 paired samples. Post-calibration RMSE was 2.40 %vol for loam and sandy clay loam soils and 3.37 %vol for clay loam soil. The following QC and diagnostic columns are included: record_qc_flag: Indicates whether all required information and expected WET150 replicate measurements are available for the observation. record_qc_reason: Provides the reason when a record fails the completeness check. Overall, 1,197 records (99.4%) passed, while 7 records (0.6%) contained one or more missing required measurements. sm_physical_flag: Physical-range QC result for soil moisture. Values below 0 %vol or above 100 %vol were considered invalid, while values above 60 %vol were flagged as suspect. temp_physical_flag: Indicates whether the recorded soil temperature falls within the accepted physical range. ecp_physical_flag: Indicates whether pore-water electrical conductivity (ECp) falls within the accepted physical range. physical_qc_flag: Combined physical-range QC result for the observation. Overall, 1,203 records (99.9%) passed the physical-range checks and one record (0.1%) was flagged as suspect. sm_range: Available for flood-irrigated observations. Represents the difference between the maximum and minimum of the three WET150 soil-moisture replicate measurements collected within the target pixel. flood_consistency_flag: Indicates whether within-pixel variability for flood-irrigated observations exceeds the empirical consistency threshold of 9.0 %vol. sm_diff_under: For drip-irrigated observations, represents the absolute difference between the two soil-moisture measurements collected under the drip lines. sm_diff_between: Represents the absolute difference between the two soil-moisture measurements collected between the drip lines. under_consistency_flag: Indicates whether sm_diff_under exceeds the 7.2 %vol consistency threshold. between_consistency_flag: Indicates whether sm_diff_between exceeds the 9.4 %vol consistency threshold. within_pixel_qc_flag: Provides the overall within-pixel consistency status. For drip irrigation, an observation is flagged as suspect when either the under-drip or between-drip difference exceeds its corresponding threshold. calibration_qc_flag: Indicates whether the WET150 soil-moisture measurement lies within the empirical range represented by the corresponding soil-specific calibration dataset or requires extrapolation beyond that range.
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DOI: 10.5281/zenodo.21997815
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