Welcome to Chinese Journal of Applied Ecology! Today is Share:

Chinese Journal of Applied Ecology ›› 2023, Vol. 35 ›› Issue (5): 1397-1407.doi: 10.13287/j.1001-9332.202405.024

• Reviews • Previous Articles     Next Articles

Application and prospects of hyperspectral remote sensing in monitoring plant diversity in grassland

GU Chen1, LIANG Jian1, LIU Xuying1, SUN Boyuan1, SUN Tongsheng1, YU Jiangang1, SUN Chenxi2, WAN Huawei2, GAO Jixi2*   

  1. 1Nantong Academy of Intelligent Sensing, Nantong 226010, Jiangsu, China;
    2Satellite Application Center for Ecology and Environment, Beijing 100094, China
  • Received:2023-11-06 Accepted:2024-03-18 Online:2024-05-18 Published:2024-11-18

Abstract: The biodiversity of grasslands is important for ecosystem function and health. The protection and mana-gement of grassland biodiversity requires the collection of the information on plant diversity. Hyperspectral remote sensing, with its unique advantages of extensive coverage and high spectral resolution, offers a new solution for long-term monitoring of plant diversity. We first reviewed the development history of hyperspectral remote sensing technology, emphasized its advantages in monitoring grassland plant diversity, and further analyzed its specific applications in this field. Finally, we discussed the challenges faced by hyperspectral remote sensing technology in its applications, such as the complexity of data processing, accuracy of algorithms, and integration with ground-based remote sensing data, and proposes prospects for future research directions. With the advancement of remote sensing technology and the integrated application of multi-source data, hyperspectral remote sensing would play an increasingly important role in grassland ecological monitoring and biodiversity conservation, which could provide scientific basis and technical support for global ecological protection and sustainable development.

Key words: hyperspectral, remote sensing, plant diversity, spectral diversity, ecosystem management