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[Application and prospects of hyperspectral remote sensing in monitoring plant diversity in grassland]. / 高光谱遥感在草原植物多样性监测中的应用与展望.
Gu, Chen; Liang, Jian; Liu, Xu-Ying; Sun, Bo-Yuan; Sun, Tong-Sheng; Yu, Jian-Gang; Sun, Chen-Xi; Wan, Hua-Wei; Gao, Ji-Xi.
Afiliação
  • Gu C; Nantong Academy of Intelligent Sensing, Nantong 226010, Jiangsu, China.
  • Liang J; Nantong Academy of Intelligent Sensing, Nantong 226010, Jiangsu, China.
  • Liu XY; Nantong Academy of Intelligent Sensing, Nantong 226010, Jiangsu, China.
  • Sun BY; Nantong Academy of Intelligent Sensing, Nantong 226010, Jiangsu, China.
  • Sun TS; Nantong Academy of Intelligent Sensing, Nantong 226010, Jiangsu, China.
  • Yu JG; Nantong Academy of Intelligent Sensing, Nantong 226010, Jiangsu, China.
  • Sun CX; Satellite Application Center for Ecology and Environment, Beijing 100094, China.
  • Wan HW; Satellite Application Center for Ecology and Environment, Beijing 100094, China.
  • Gao JX; Satellite Application Center for Ecology and Environment, Beijing 100094, China.
Ying Yong Sheng Tai Xue Bao ; 35(5): 1397-1407, 2024 May.
Article em Zh | MEDLINE | ID: mdl-38886439
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Monitoramento Ambiental / Pradaria / Biodiversidade / Tecnologia de Sensoriamento Remoto Idioma: Zh Revista: Ying Yong Sheng Tai Xue Bao Assunto da revista: SAUDE AMBIENTAL Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Monitoramento Ambiental / Pradaria / Biodiversidade / Tecnologia de Sensoriamento Remoto Idioma: Zh Revista: Ying Yong Sheng Tai Xue Bao Assunto da revista: SAUDE AMBIENTAL Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China