Sources of Temporal Decorrelation in an Agricultural Scene and Their Effect on Sub-Daily Sar Coherence Time Series

Conference Paper (2024)
Author(s)

Arturo Villarroya-Carpio (Universitat d'Alacant)

J. M. Lopez-Sanchez (Universitat d'Alacant)

A. Aguasca (Universitat Politecnica de Catalunya)

A. Broquetas (Universitat Politecnica de Catalunya)

Xavier Fàbregas (Universitat Politecnica de Catalunya)

Mireia Mas (Universitat Politecnica de Catalunya)

S.C. Steele-Dunne (TU Delft - Mathematical Geodesy and Positioning)

Research Group
Mathematical Geodesy and Positioning
DOI related publication
https://doi.org/10.1109/IGARSS53475.2024.10641969
More Info
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Publication Year
2024
Language
English
Research Group
Mathematical Geodesy and Positioning
Pages (from-to)
1465-1469
ISBN (electronic)
9798350360325
Reuse Rights

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Abstract

Data obtained during a ground-based SAR experiment and an associated field campaign have been exploited to study the rate and sources of decorrelation in an agricultural test site in the conditions of observation of a geosynchronous SAR. It was found that the scene is less affected by temporal decorrelation when the primary image is acquired during night time or early morning. Additionally, a periodic oscillation on a sub-daily scale was observed when creating coherence time series with increasing temporal baseline. Two factors which strongly contribute to these oscillations are the daily cycles of soil moisture and evapotranspiration.

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