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Comparison of water cloud models with different layers for rice yield estimation from a single TerraSAR image

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ABSTRACT This paper discusses the estimation of rice yield from Water Cloud Models (WCM) with different layers by a single X-band (8–12 GHz) Synthetic Aperture Radar (SAR) image, from a… Click to show full abstract

ABSTRACT This paper discusses the estimation of rice yield from Water Cloud Models (WCM) with different layers by a single X-band (8–12 GHz) Synthetic Aperture Radar (SAR) image, from a satellite named TerraSAR. A simulated annealing (SA) algorithm, with a ‘leave-one-out’ cross-validation method, was applied. The results were related to actual rice parameters, with a coefficient of determination (R 2) of 0.6059, which not only demonstrated that a single-layer WCM was better than a double-layer WCM for grain number estimation, but also indicated the potential to estimate rice production from a single SAR image. A comparison of estimates indicated that the single-layer WCM overcame insufficiencies that existed in the double-layer WCM. The range of backscattering coefficients from the model was also discussed.

Keywords: water cloud; rice yield; image; cloud models; estimation; different layers

Journal Title: Remote Sensing Letters
Year Published: 2020

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