不同遥感传感器监测森林虫害研究进展与展望

doi:10.11924/j.issn.1000-6850.casb2021-0872

中国农学通报 ›› 2022, Vol. 38 ›› Issue (26): 91-99.doi: 10.11924/j.issn.1000-6850.casb2021-0872

不同遥感传感器监测森林虫害研究进展与展望

麻磊¹^,²(), 黄晓君¹^,²^,³(), Ganbat Dashzebegd⁴, Mungunkhuyag Ariunaad⁴, Tsagaantsooj Nanzadd⁴, Altanchimeg Dorjsuren⁵, 包刚¹^,², 佟斯琴¹^,², 包玉海¹^,², Enkhnasan Davaadorj⁵

¹内蒙古师范大学地理科学学院,呼和浩特 010022
²内蒙古自治区遥感与地理信息系统重点实验室,呼和浩特 010022
³内蒙古自治区蒙古高原灾害与生态安全重点实验室,呼和浩特 010022
⁴蒙古国科学院地理与地质研究所,蒙古国乌兰巴托 15170
⁵蒙古国科学院综合实验生物学研究所,蒙古国乌兰巴托 13330

收稿日期:2021-09-10 修回日期:2021-11-28 出版日期:2022-09-15 发布日期:2022-09-09
通讯作者: 黄晓君
作者简介:麻磊,男,1997年出生,内蒙古乌兰察布人,硕士,研究方向：自然灾害监测研究。E-mail： malei19960115@163.com。
基金资助:
国家自然科学基金委地区基金项目“蒙古高原雅氏落叶松尺蠖灾害遥感监测与暴发预测研究”(41861056);国家自然科学基金委重点基金项目“中蒙典型跨境灾害遥感监测与传播路径预测方法研究”(61631011);内蒙古自治区科技厅科技计划项目“大兴安岭落叶松毛虫虫害遥感动态监测预警技术及防控决策支持系统研发”(2021GG0183);内蒙古师范大学引进高层次人才科研启动经费项目“针叶虫害多光谱遥感监测及其对林木冠层植被指数的响应”(2020YJRC051)

Monitoring Forest Insect Pests by Different Remote Sensing Sensors: Research Progress and Prospect

MA Lei¹^,²(), HUANG Xiaojun¹^,²^,³(), GANBAT Dashzebegd⁴, MUNGUNKHUYAG Ariunaad⁴, TSAGAANTSOOJ Nanzadd⁴, ALTANCHIMEG Dorjsuren⁵, BAO Gang¹^,², TONG Siqin¹^,², BAO Yuhai¹^,², ENKHNASAN Davaadorj⁵

¹College of Geographical Science, Inner Mongolia Normal University, Huhhot 010022
²Inner Mongolia Key Laboratory of Remote Sensing & Geography Information System, Huhhot 010022
³Inner Mongolia Key Laboratory of Disaster and Ecological Security on the Mongolia Plateau, Huhhot 010022
⁴Institute of Geography and Geoecology, Mongolian Academy of Sciences, Ulaanbaatar, Mongolia 15170
⁵Institute of General and Experimental Biology, Mongolian Academy of Sciences, Ulaanbaatar, Mongolia 13330

Received:2021-09-10 Revised:2021-11-28 Online:2022-09-15 Published:2022-09-09
Contact: HUANG Xiaojun

摘要/Abstract

摘要：

森林约占陆地面积的1/4,是全球生态系统重要组成部分。近年来害虫侵袭致使林木大量死亡,森林生态安全遭到破坏,亟需探寻一种简洁、高效的森林虫害监测方法。通过分析与总结国内外学者的研究,并查询相关书籍资料,对比多光谱、高光谱和微波等遥感传感器在森林虫害监测中的应用,对其优劣势进行分析。研究发现多光谱遥感空间分辨率高,但光谱分辨率较差,难以感知林木内部细微变化;高光谱遥感光谱分辨率高,可以感知林木内部细微变化,但其空间分辨率较低,且数据量大不易计算;微波遥感具有很强的穿透性,可进行全天候、全天时监测且不易受天气影响,但其空间分辨率低,难以获取林木光谱信息。未来应提高害虫区分能力、早期监测能力以及通过多源数据构建星空地协同的森林虫害遥感监测系统等发展趋势。为森林虫害遥感监测研究提供一种新思路。

关键词: 遥感传感器, 森林虫害监测, 研究进展, 未来发展

Abstract:

As an important part of the global ecosystem, forests account for about a quarter of the world’s land area. In recent years, pests have caused a large number of forest deaths, and the ecological security has been damaged. Thus, it is urgent to explore a simple and efficient forest pest monitoring method. Referring to the research of domestic and foreign scholars and relevant books, this paper analyzes and summarizes the advantages and disadvantages of multispectral, hyperspectral and microwave remote sensing sensors in forest pest monitoring. It is found that the spatial resolution of multispectral remote sensing is high, but the spectral resolution is poor, making it difficult to perceive subtle changes in the forest. Instead, the hyperspectral remote sensing has high spectral resolution, but its spatial resolution is low and the data is large and difficult to calculate. Lastly, the microwave remote sensing has strong penetration, it is able to monitor throughout the day, and is not susceptible to weather. However, its spatial resolution is low and it is difficult to obtain forest spectral information. In the future, the ability of pest differentiation, the ability of early monitoring, and the construction of forest pest remote sensing monitoring system based on multi-source data should be improved. This paper provides a new idea for remote sensing of forest pests.

Key words: remote sensing sensor, forest insect pest monitoring, research progress, future development

中图分类号:

S433

麻磊, 黄晓君, Ganbat Dashzebegd, Mungunkhuyag Ariunaad, Tsagaantsooj Nanzadd, Altanchimeg Dorjsuren, 包刚, 佟斯琴, 包玉海, Enkhnasan Davaadorj. 不同遥感传感器监测森林虫害研究进展与展望[J]. 中国农学通报, 2022, 38(26): 91-99.

MA Lei, HUANG Xiaojun, GANBAT Dashzebegd, MUNGUNKHUYAG Ariunaad, TSAGAANTSOOJ Nanzadd, ALTANCHIMEG Dorjsuren, BAO Gang, TONG Siqin, BAO Yuhai, ENKHNASAN Davaadorj. Monitoring Forest Insect Pests by Different Remote Sensing Sensors: Research Progress and Prospect[J]. Chinese Agricultural Science Bulletin, 2022, 38(26): 91-99.

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不同遥感传感器监测森林虫害研究进展与展望

Monitoring Forest Insect Pests by Different Remote Sensing Sensors: Research Progress and Prospect

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