Monitoring crop phenology using a smartphone based near-surface remote sensing approach
Monitoring crop phenology using a smartphone based near-surface remote sensing approach
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DOI：
10.1016/j.agrformet.2018.11.002
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发表时间：
2019-02-15
影响因子：
6.2
通讯作者：
Kramer, Berber
中科院分区：
文献类型：
--
作者：
Hufkens, Koen;Melaas, Eli K.;Kramer, Berber
小农在支持发展中国家粮食安全方面发挥着关键作用。监测作物物候和对作物生长的干扰对于加强农民管理生产风险的能力至关重要。本研究评估了利用众包近地表遥感图像监测印度西北部冬小麦物候和识别损害事件的可行性。特别是，我们展示了如何流的照片，个别小农领域，使用廉价的智能手机，可以用来量化重要的物候期农作物，特别是小麦抽穗期，以及它如何可以用来检测倒伏事件，全球作物损害的主要原因。近地表遥感提供了颗粒状视野数据，提供了关于冬小麦关键发育阶段的时间和普通卫星遥感植被指数或全国作物采伐调查未记录的作物生长扰动的详细信息。这说明近地表遥感作为收集高分辨率特定地块数据的可扩展平台的潜力，这些数据可用于支持作物建模、推广和保险计划，以提高对生产风险的抵御能力，并加强小农农业系统的粮食安全。
Smallholder farmers play a critical role in supporting food security in developing countries. Monitoring crop phenology and disturbances to crop growth is critical in strengthening farmers' ability to manage production risks. This study assesses the feasibility of using crowdsourced near-surface remote sensing imagery to monitor winter wheat phenology and identify damage events in northwest India. In particular, we demonstrate how streams of pictures of individual smallholder fields, taken using inexpensive smartphones, can be used to quantify important phenological stages in agricultural crops, specifically the wheat heading phase and how it can be used to detect lodging events, a major cause of crop damage globally. Near-surface remote sensing offers granular visual field data, providing detailed information on the timing of key developmental phases of winter wheat and crop growth disturbances that are not registered by common satellite remote sensing vegetation indices or national crop cut surveys. This illustrates the potential of near-surface remote sensing as a scalable platform for collecting high-resolution plot-specific data that can be used in supporting crop modeling, extension and insurance schemes to increase resilience to production risk and enhance food security in smallholder agricultural systems.