Abstract Over the past ten years, plant phenotyping technologies that utilize sensing and data mining approaches to estimate crop traits in a high-throughput and objective manner, have been evaluated and applied in different crop improvement and breeding programs. Multiple platforms, from proximal to unmanned aerial systems based remote sensing, have been developed and applied to increase the throughput, efficiency, and objectivity during field phenotyping. In recent years, the development and availability of high-resolution satellite imagery from low-orbit satellites have offered yet another opportunity for phenotyping applications. This review demonstrates the applications of satellite imagery in agricultural production and crop phenotyping and suggests plant traits that can be evaluated using high-resolution satellite imagery. The review summarizes the merits (e.g. rapid/automated data capture from larger and multiple field sites) and challenges (e.g. cloud occlusion) of satellite-based phenotyping in crop breeding programs, and discusses future perspectives/opportunities of high-resolution satellite imagery as a phenotyping tool. High-resolution satellite imagery can serve as a phenotyping tool for the assessment of crop varieties, thus assisting plants breeders in the process of selecting high-yielding, stress (abiotic and biotic) tolerant variety that can contribute to addressing world food demand amidst climate change.

中文翻译：

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高分辨率卫星图像在作物表型中的应用：概述

摘要 在过去的十年中，利用传感和数据挖掘方法以高通量和客观的方式估计作物性状的植物表型技术已在不同的作物改良和育种计划中得到评估和应用。已经开发并应用了多个平台，从基于遥感的近端到无人机系统，以提高现场表型分析的吞吐量、效率和客观性。近年来，低轨道卫星高分辨率卫星图像的开发和可用性为表型应用提供了另一个机会。这篇综述展示了卫星图像在农业生产和作物表型分析中的应用，并提出了可以使用高分辨率卫星图像进行评估的植物性状。该评论总结了作物育种计划中基于卫星的表型分析的优点（例如从更大和多个现场站点快速/自动捕获数据）和挑战（例如云遮挡），并讨论了高分辨率卫星图像的未来前景/机会表型工具。高分辨率卫星图像可以作为评估作物品种的表型工具，从而帮助植物育种者选择高产、抗逆（非生物和生物）品种，这有助于解决气候变化中的世界粮食需求. 并讨论高分辨率卫星图像作为表型分析工具的未来前景/机会。高分辨率卫星图像可作为评估作物品种的表型工具，从而帮助植物育种者选择高产、抗逆（非生物和生物）品种，从而有助于解决气候变化中的世界粮食需求. 并讨论高分辨率卫星图像作为表型分析工具的未来前景/机会。高分辨率卫星图像可作为评估作物品种的表型工具，从而帮助植物育种者选择高产、抗逆（非生物和生物）品种，从而有助于解决气候变化中的世界粮食需求.