The use of satellite data for crop yield gap analysis
The use of satellite data for crop yield gap analysis
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DOI：
10.1016/j.fcr.2012.08.008
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发表时间：
2013-03-01
影响因子：
5.8
通讯作者：
Lobell, David B.
中科院分区：
文献类型：
--
作者：
Lobell, David B.
田间试验和模拟模型是了解作物产量差距的有用工具，但随着时间的推移，扩大这些方法以了解整个地区仍然是一个相当大的挑战。卫星数据一再表明，其本身或与其他数据和模型结合提供的信息可以准确地测量农民田地中的作物产量。由此产生的产量图提供了一个独特的机会，以克服空间和时间尺度的挑战，从而提高作物产量差距的理解。这篇综述讨论了利用遥感技术测量产量差距的大小和原因。以前工作中的例子表明了遥感的效用，但许多可能的应用领域尚未探索。提出了两种简单而有用的方法来衡量田间产量差异的持久性，结合平均产量的地图，可以用来指导进一步研究的具体因素。虽然遥感的使用在历史上可能受到高分辨率数据的成本和可用性的限制，但这一障碍正在迅速消失。(C)2012 Elsevier B.V.保留所有权利。
Field experiments and simulation models are useful tools for understanding crop yield gaps, but scaling up these approaches to understand entire regions over time has remained a considerable challenge. Satellite data have repeatedly been shown to provide information that, by themselves or in combination with other data and models, can accurately measure crop yields in farmers' fields. The resulting yield maps provide a unique opportunity to overcome both spatial and temporal scaling challenges and thus improve understanding of crop yield gaps. This review discusses the use of remote sensing to measure the magnitude and causes of yield gaps. Examples from previous work demonstrate the utility of remote sensing, but many areas of possible application remain unexplored. Two simple yet useful approaches are presented that measure the persistence of yield differences between fields, which in combination with maps of average yields can be used to direct further study of specific factors. Whereas the use of remote sensing may have historically been restricted by the cost and availability of fine resolution data, this impediment is rapidly receding. (C) 2012 Elsevier B.V. All rights reserved.