Supporting precision agriculture with dual-polarimetric TerraSAR-X - yield prediction and identification of in-field variations to generate fertilizer prescription maps

Tishampati Dhar, C. Menges, D. Gray, J. Douglas, Leighton Wilksch
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Abstract

This paper presents studies carried out over 2 growing season in South Australia to evaluate the suitability of TerrSAR-X dual-polarimetric imagery for crop growth monitoring and yield prediction. End of season crops were observed in 2008 and significant correlation with yield was noted. Mid-season crops were observed in 2009 and due to the lower biomass no significant in field trends were observed in the SAR when compared with concurrently acquired ground NDVI sensor and multispectral optical data. Separability between different crop types is evident in both studies, but crop biomass has to be significant for any in-field variations to be apparent.
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支持精准农业与双极化TerraSAR-X产量预测和识别田间变化生成肥料处方图
本文介绍了在南澳大利亚进行的两个生长季节的研究,以评估TerrSAR-X双偏振图像在作物生长监测和产量预测中的适用性。2008年末季作物产量与产量呈显著相关。2009年观测到了季中作物,由于生物量较低,与同时获取的地面NDVI传感器和多光谱光学数据相比,SAR没有观测到显著的田间趋势。在这两项研究中,不同作物类型之间的可分离性是显而易见的,但作物生物量必须是显著的,任何田间变化都是明显的。
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