Coherent and Incoherent Change Detection for Soil Moisture Retrieval From Sentinel-1 Data

Article Geochemistry & Geophysics

Repeat-Pass Interferometric Speckle

Simon Zwieback et al.

Summary: The study found pervasive deviations from Gaussianity in repeat-pass radar interferometric data, especially in areas with naturally heterogeneous surfaces. Permanent texture has a significant impact on intensity heterogeneity related to phase heterogeneity. Accounting for heterogeneity has a moderate impact on phase estimates and estimated uncertainty in deformation analyses, but can improve phase estimation accuracy and uncertainty estimates in inherently heterogeneous areas.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2021)

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Article Geochemistry & Geophysics

Sentinel-1 Sensitivity to Soil Moisture at High Incidence Angle and the Impact on Retrieval Over Seasonal Crops

Davide Palmisano et al.

Summary: This article investigates the sensitivity of Sentinel-1 (S-1) to surface soil moisture (SSM) at different incidence angles through experimental and numerical studies, finding that high incidence angles affect S-1 signals through soil attenuation and double bounce scattering.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2021)

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Article Environmental Sciences

Sentinel-1 soil moisture at 1 km resolution: a validation study

Anna Balenzano et al.

Summary: This study evaluates a pre-operational soil moisture product at 1 km resolution derived from Sentinel-1 radar satellite data. The retrieval algorithm relies on short term change detection using SAR imaging. Results show that for dense hydrological networks, the RMSE and correlation are around 0.06 m(3)/m(3) and 0.71, respectively, while in sparse networks, the RMSE increases by approximately 0.02 m(3)/m(3) (70% Confidence Level). Globally, the S-1 Theta product has an intrinsic RMSE of about 0.07 m(3)/m(3) and a correlation of 0.54.

REMOTE SENSING OF ENVIRONMENT (2021)

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Proceedings Paper Computer Science, Artificial Intelligence