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- W3003087772 abstract "In this article, a two-year time-series of multipolarization Sentinel-1 synthetic aperture radar (SAR) imagery is exploited to analyze the changes in the water-covered area of the Monte Cotugno (Italy) reservoir. A two-step processing chain, which includes water/land separation and waterline extraction, is proposed to accomplish this task. Experimental results, verified using independent in situ measurements, demonstrate that: first, Sentinel-1 time series can be successfully used to support the smart water management of reservoirs. In fact, the changes in the water-covered area inferred from the SAR time series agree with the seasonal behavior and they also fit anomalies; and second, multipolarization feature outperforms single-polarization ones in terms of accuracy of the extracted waterline profile." @default.
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- W3003087772 date "2020-01-01" @default.
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- W3003087772 title "Multi-polarization time-series of Sentinel-1 SAR imagery to analyze variations of reservoirs’ water-body" @default.
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- W3003087772 doi "https://doi.org/10.1109/jstars.2019.2961563" @default.
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