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Growth and Spectral Characteristics of Grassland in Response to Different Soil Textures

  • Xiaochun Zhong
  • Junchan Wang
  • Liu Tao
  • Chengming Sun
  • Zhemin Li
  • Shengping Liu
Conference paper
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 546)

Abstract

Biomass and the chlorophyll content are important indicators to measure the growth and development of grasslands. Modeling using hyperspectral data is an important means to monitor grassland growth and development. In this paper, we studied Mexican maize grass, hybrid Pennisetum and hybrid Sudan grass under different soil texture treatments and determined the correlation between the canopy reflectance spectrum and plant growth status in different soil textures based on hyperspectral data. Our results showed that, under different soil texture treatments, the emergence rate of Mexican maize grass and hybrid Pennisetum did not differ significantly, whereas that of hybrid Sudan grass indicated a significant difference. Under different soil texture treatments, the trend of plant height variation was consistent. In terms of different types of grassland, it is generally feasible to establish a grassland yield spectral model based on the vegetation indexes NDVI and RVI, and the leaf SPAD values of the three types of grassland best fit the spectral parameter red edge area.

Keywords

Grassland Biomass SPAD value Soil textures Hyperspectral remote sensing 

Notes

Acknowledgment

This research was supported by Technology Innovation Project Fund of Chinese Academy of Agricultural Sciences (2017).

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Copyright information

© IFIP International Federation for Information Processing 2019

Authors and Affiliations

  • Xiaochun Zhong
    • 1
    • 2
  • Junchan Wang
    • 3
  • Liu Tao
    • 4
  • Chengming Sun
    • 4
  • Zhemin Li
    • 1
    • 2
  • Shengping Liu
    • 1
    • 2
  1. 1.Institute of Agriculture InformationChinese Academy of Agriculture SciencesBeijingChina
  2. 2.Key Laboratory of Agro-information Services TechnologyMinistry of AgricultureBeijingChina
  3. 3.Lixiahe Regional Institute of Agricultural SciencesYangzhouChina
  4. 4.Jiangsu Key Laboratory of Crop Genetics and Physiology, Co-innovation Center for Modern Production Technology of Grain CropsYangzhou UniversityYangzhouChina

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