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[The spectrum characteristics of an invasion plant: Eupatorium adenophorum Spreng].

Jun Chen1, Wen-ting Quan, Guan-hua Zhou

  • 1The Key Laboratory of Marine Hydrocarbon Resource and Geology, Qingdao 266071, China. chenjun820711@163.com

Guang Pu Xue Yu Guang Pu Fen Xi = Guang Pu
|September 11, 2010
PubMed
Summary
This summary is machine-generated.

Remote sensing can effectively detect and map invasive Eupatorium adenophorum Spreng. (EAS) using its unique spectral features during fluorescence. This method offers a viable solution for managing the widespread distribution of this toxic plant.

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Area of Science:

  • Ecology
  • Remote Sensing
  • Botany

Background:

  • Eupatorium adenophorum Spreng. (EAS) is a highly invasive, toxic plant causing significant economic and environmental damage in China.
  • Its rapid spread and wide distribution render traditional detection and management methods ineffective for monitoring spatial distribution.

Purpose of the Study:

  • To develop an effective remote sensing-based method for detecting and mapping the spatial distribution of Eupatorium adenophorum Spreng.
  • To identify unique spectral features of EAS for accurate remote sensing identification.

Main Methods:

  • Analysis of spectral features of Eupatorium adenophorum Spreng.
  • Development of identification models using remote sensing data.
  • Comparison of EAS spectral features with other representative materials.

Main Results:

  • EAS exhibits distinct spectral characteristics: two reflecting peaks (560, 730 nm) and an absorbing trough (674 nm).
  • Specific absorption characteristics at 647 nm (depth, width, band area ratio) and a derivative spectral peak at 420 nm are unique to EAS.
  • White flowers contribute to higher reflectance in visible bands.

Conclusions:

  • The unique spectral absorption at 647 nm and the derivative spectral peak at 420 nm are key parameters for remotely sensing and mapping Eupatorium adenophorum Spreng. during its fluorescence stage.
  • Remote sensing provides a viable and efficient approach for managing the spatial distribution of this invasive plant.