摘要
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 les
作者
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
ZHANG Ning;YANG Guijun;ZHAO Chunjiang;ZHANG Jincheng;YANG Xiaodong;PAN Yuchun;HUANG Wenjiang;XU Bo;LI Ming;ZHU Xicun;LI Zhenhai(Key Laboratory of Quantitative Remote Sensing in Agriculture of Ministry of Agriculture,Beijing Research Center for Information Technology in Agriculture,Beijing 100097,China;National Engineering Research Center for Information Technology in Agriculture,Beijing 100097,China;Beijing Engineering Research Center for Agriculture Internet of Things,Beijing 100097,China;College of Life Information Science&Instrument Engineering,Hangzhou Dianzi University,Hangzhou 310018,China;Key Laboratory of Agri-informatics,Ministry of Agriculture and Rural Affairs,Beijing 100097,China;Key Laboratory of Digital Earth Science,Aerospace Information Research Institute Chinese Academy of Sciences,Beijing 100094,China;College of Resources and the Environment,Shandong Agriculture University,Tai'an 271018,China)
出处
《遥感学报》
EI
CSCD
北大核心
2021年第1期403-422,共20页
NATIONAL REMOTE SENSING BULLETIN
基金
广东省重点领域研发计划(编号:2018B020241001)
国家重点研发计划(编号:2017YFE0122500)
清远智慧农业研究院+粤东西北新型研发机构建设(编号:20190905)
国家自然科学基金(编号:31901240)
现代农业产业技术体系专项资金资助(编号:CARS-02)。
关键词
遥感
作物病虫害
高光谱遥感
监测识别
未来展望
remote sensing
crop diseases and pests
hyperspectral remote sensing
monitoring and identification
future prospects
