作物病虫害遥感监测研究进展与展望

doi:10.12133/j.smartag.2019.1.4.201905-SA005

Smart Agriculture ›› 2019, Vol. 1 ›› Issue (4): 1-11.doi: 10.12133/j.smartag.2019.1.4.201905-SA005

• 综合研究 • 下一篇

作物病虫害遥感监测研究进展与展望

黄文江^1,², 师越^1,², 董莹莹¹, 叶回春¹, 邬明权², 崔贝¹, 刘林毅^1,^2,³

1. 中国科学院遥感与数字地球研究所数字地球重点实验室，北京100094
2. 中国科学院遥感与数字地球研究所遥感科学国家重点实验室，北京100094
3. 中国科学院大学，北京 100049

收稿日期:2019-05-19 修回日期:2019-10-15 出版日期:2019-10-30
基金项目:
中国科学院科技服务网络计划（STS）重点项目(KFJ-STS-ZDTP-054);国家重点研发计划政府间国际科技创新合作项目(2017YFE0122400);国家高层次人才特殊支持计划
通信作者: 黄文江（1972—），男，博士，研究员，研究方向：农业遥感，电话：010-82178169，Email：huangwj@aircas.ac.cn

Progress and prospects of crop diseases and pests monitoring by remote sensing

Huang Wenjiang^1,², Shi Yue^1,², Dong Yingying¹, Ye Huichun¹, Wu Mingquan², Cui Bei¹, Liu Linyi^1,^2,³

1. Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth (RADI), Chinese Academy of Sciences (CAS), Beijing 100094, China
2. State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth (RADI), Chinese Academy of Sciences (CAS), Beijing 100094, China
3. University of Chinese Academy of Sciences, Beijing 100049, China

Received:2019-05-19 Revised:2019-10-15 Online:2019-10-30
Foundation items:Chinese Academy of Sciences Science and Technology Service Network (STS) Key Project (KFJ-STS-ZDTP-054); National Key Research and Development Program of China: Intergovernmental International Science and Technology Innovation Cooperation Project(2017YFE0122400); National High-Level Talent Special Support Program
Corresponding author:Huang Wenjiang, Email：huangwj@aircas.ac.cn

摘要/Abstract

摘要：

病虫害是农业生产过程中影响粮食产量和质量的重要生物灾害。目前，我国的作物病虫害监测方式以点状的地面调查为主，无法大面积、快速获取作物病虫害发生状况和空间分布信息，难以满足作物病虫害的大尺度科学监测和防控的需求。近年来，随着国内外卫星光谱、时间和空间分辨率的不断提升，利用遥感手段开展高效、无损的病虫害监测成为有效提升我国病虫害测报水平的重要手段。与此同时，多平台、多种方式的作物病虫害遥感监测也为病虫害的有效防治和管理提供了重要科技支撑。本文从作物病虫害光谱特征、遥感监测方法和遥感监测系统等方面阐述了作物病虫害遥感监测研究的进展，分析了当前面临的挑战，并对未来发展趋势进行了展望。

关键词: 作物, 遥感, 病虫害监测, 未来展望

Abstract:

Global change and natural disturbances have already caused a severe co-epidemic of crop pests and diseases, such as aphids, fusarium, rust, and powdery mildew. These threats may result in serious deterioration of grain yield and quality. Traditionally, crop pests and diseases are monitored by visual inspection of individual plants, which is time-consuming and inefficient. Besides, the distribution of different infected wheat patches are hard to identify through manual scouting. However, the spatial scale difference of remote sensing observation directly affects the remote sensing diagnosis mechanism and monitoring method of pests and diseases. The differences in pest and disease characterization and monitoring mechanisms promote the development of the remote sensing-based monitoring technology at different spatial scales, and the complementarity of multi-spatial data sources (remote sensing, meteorology, plant protection, etc.) increase the chance of the precision monitoring of the occurrence and development of pest and disease. As a non-destructive way of collecting ground information, remote sensing technologies have been proved to be feasible in crop pests and diseases monitoring and forecasting. Meanwhile, many crop diseases and pests monitoring and alarming systems have been developed to manage and control agricultural practices. Based on the description of physiological mechanism that crop diseases and pests stressed spectral response, some effective spectral wavelengths, remote sensing monitoring technologies, and crop pests and disease monitoring and forecasting system were summarized and sorted in this paper. In addition, challenge problems of key technology on monitoring crop diseases and pests with remote sensing was also pointed out, and some possible solutions and tendencies were also provided. This article detailed revealed the researches on the remote sensing based monitoring methods on detection and classification of crop pests and diseases with the challenges of regional-scale, multi-source, and multi-temporal data. In addition, we also reviewed the remote sensing monitoring of pests and diseases that meet the characteristics of different remote sensing spatial scale data and precise plant protection and control needs. Finally, we investigated the current development of the pest and disease monitoring systems which integrated the research and application of the existing crop pest and disease monitoring and early warning model. In summary, this review will prove a new perspective for sustainable agriculture from the current researches, thus, new technology for earth observation and habitat monitoring will not only directly benefit crop production through better pest and disease management but through the biophysical controls on pest and disease emergence. Application of UAVs, image processing to insect/disease detection and control should be directly transferable to other pests and diseases, with feedbacks into UAV and EO capabilities for the mapping and management of these agricultural risks. Similarly, these vision systems open other possibilities for farm robotics such as mechanical rather than manual pesticide usage for below crop canopy pest surveying.

Key words: crop, remote sensing, pests and diseases, monitoring, future prospects

中图分类号:

黄文江, 师越, 董莹莹, 叶回春, 邬明权, 崔贝, 刘林毅. 作物病虫害遥感监测研究进展与展望[J]. 智慧农业(中英文), 2019, 1(4): 1-11.

Huang Wenjiang, Shi Yue, Dong Yingying, Ye Huichun, Wu Mingquan, Cui Bei, Liu Linyi. Progress and prospects of crop diseases and pests monitoring by remote sensing[J]. Smart Agriculture, 2019, 1(4): 1-11.

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作物病虫害遥感监测研究进展与展望

Progress and prospects of crop diseases and pests monitoring by remote sensing

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