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纸质出版日期： 2021-01-07 ，
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张凝，杨贵军，赵春江，张竞成，杨小冬，潘瑜春，黄文江，徐波，李明，朱西存，李振海.2021.作物病虫害高光谱遥感进展与展望.遥感学报，25（1）： 403-422
Zhang N，Yang G J，Zhao C J，Zhang J C，Yang X D，Pan Y C，Huang W J，Xu B，Li M，Zhu X C and Li Z H. 2021. Progress and prospects of hyperspectral remote sensing technology for crop diseases and pests. National Remote Sensing Bulletin， 25（1）：403-422
作物病虫害作为影响农作物品质、产量及威胁粮食安全的主要因素，仅依靠人工田间调查对其进行监测已不能满足当下农业生产精准高效的需求。高光谱遥感作为能够获取地表物体连续波谱信息的遥感技术，已经成为当下作物病虫害监测识别的重要手段。本文对作物病虫害高光谱遥感监测识别的研究进展进行综述，通过对该领域发表文献的统计以及对主要机构、团队、数据源的分析，明确了病虫害高光谱遥感监测的研究热点和趋势；在此基础上，分析高光谱技术及其作物病虫害的监测识别机理，从病虫害胁迫探测、分类识别、危害严重度定量分析及早期检测四个方面综述相关技术及研究现状；通过探讨当下高光谱遥感病虫害监测识别面临的挑战，提出作物病虫害标准图谱库的建立、星载高光谱传感器的完善以及星空地一体化监测平台的搭建是当前作物病虫害高光谱遥感监测识别技 术落到实处的关键，也是未来发展的重点方向。
The changes in global climate and the accelerated development of trade have continuously expanded the distributions
host ranges
and impacts of crop diseases and pests. They have become one of the most important threatening factors of crop quality
yield
and food safety in the whole process of agricultural production. The monitoring and identification of crop diseases and pests are always based on visual inspection. However
the artificial-based method is time and labor consuming
and the survey results cannot satisfy the requirements of large area and exact analysis. Biological and chemical-related professional bacteria detection method is also costly and unsuitable for promotion in farmers. Remote sensing
which is a typical non-invasive method
provides reliable and precise technical support for real-time and large-scale monitoring of crop diseases and pests in recent decades. Each remote sensing system
such as visible and near-infrared spectral sensors
fluorescence and thermal sensors
and synthetic aperture radar and light detection and ranging system
has its own characteristics and maturity in detecting and monitoring plant diseases and pests. Hyperspectral remote sensing technology can easily
quickly
non-destructively
and accurately assess information of diseases and pests
including type identification
detection
mapping
and severity and loss assessment
because of its continuous narrow waveband characteristics.
The occurrence of crop diseases and pests is a dynamic and complex process. On the one hand
crop diseases and pests are often caused by more than one causal agent
and each has different symptoms. On the other hand
host plant pathogen and pest interaction is a complex dynamic process with changes in various physiological and biochemical parameters. The two main aspects make the application of hyperspectral technology in the monitoring of diseases and pests particularly prominent because it can cover a spectral range of up to 350—2500 nm and can yield a narrow spectral resolution of less than 10 nm. These characteristics are suitable not only for disease differentiation based on slight differences but also for monitoring and analysis of dynamic disease processes. This extra information will provide additional benefits for plant disease detection
especially for detection during the latency period when symptoms are invisible to the human eye.
This review first describes the basic principles of hyperspectral remote sensing and introduces the investigating mechanism of crop diseases and pests. On the basis of bibliometric analysis on the hyperspectral remote sensing-based monitoring of crop diseases and pests and detection literature from WOS and CNKI
four main research directions are summarized: identification of diseases and pest and healthy crops
classification of different diseases and pests
quantitative analysis of severity
and early asymptomatic detection. Then
we review the main development of related technologies and research status in detail. Finally
three major challenges are put forward on the basis of the abovementioned summary on technologies
developments
advantages
and disadvantages of monitoring of crop diseases and pests. This review proves that the establishment of standard spectral library of crop diseases and pests on different scales
the improvement of satellite hyperspectral sensors
and the construction of the integrated monitoring platform will be the key points to applying hyperspectral remote sensing technology.
遥感作物病虫害高光谱遥感监测识别未来展望
remote sensingcrop diseases and pestshyperspectral remote sensingmonitoring and identificationfuture prospects
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