Plant ecology, resources and taxonomy

Monitoring of Mikania micrantha Invasion Based on ‘Zhuhai-1’ Hyperspectral Remote Sensing Images

  • 杨 禄,蒋晓华,常文涛,李先怡
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  • (Zhuhai Orbita Aerospace Science & Technology Co., Ltd., Zhuhai 519080, Guangdong China)

Received date: 2022-06-09

  Accepted date: 2022-07-27

  Online published: 2023-01-17

Abstract

Based on the hyperspectral remote sensing image of ‘Zhuhai-1’ and the ground spectral data of Mikania micrantha, the decision tree hierarchical classification extraction method was used to realize the identification and extraction of large-scale invasion information of M. micrantha. The results showed that the OHS hyperspectral data could accurately reflect the spectral characteristics of M. micrantha. In the 32 bands of OHS hyperspectral data, Band13 (665 nm), Band22 (780 nm), Band25 (833 nm), Band26 (850 nm), Band27 (865 nm), Band28 (880 nm) were the best bands for the identification and information extraction of M. micrantha. Using OHS hyperspectral data to monitor the distribution of M. micrantha, the extraction accuracy reached 82.6%, which could meet the daily business needs of M. micrantha invasion monitoring and provide powerful help for the accurate control of M. micrantha.

Cite this article

杨 禄,蒋晓华,常文涛,李先怡 . Monitoring of Mikania micrantha Invasion Based on ‘Zhuhai-1’ Hyperspectral Remote Sensing Images[J]. Subtropical Plant Science, 2022 , 51(4) : 272 -281 . DOI: 10.3969/j.issn.1009-7791.2022.04.005

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