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

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

Abstract

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

CLC Number:

S433

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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