Journal of Energy and Natural Resources

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The Characteristic Analysis of Canopy Spectrum and Moisture Content of 10 Typical Arid Desert Plants

Received: 7 January 2019    Accepted:     Published: 8 March 2019
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Abstract

Plant water is a main factor to affect physiological and biochemical indexes of plants like photosynthesis, respiration, and biomass and so on. The investigation of plant water content is an important part of vegetation research. The study of the relationship between water content and canopy spectrum of typical desert plants by hyper spectral has great significance for remote sensing monitoring of vegetation in arid desert areas. The canopy spectral curves of 10 typical desert plants were determined by ASD portable ground spectrometer in this study. The correlation coefficient method and vegetation index method were used to analyze the spectral characteristics of different desert plants and their relationship with canopy moisture content. The results show: 1) the reflectance curve of desert plants has the general characteristics of green plants in the visible-near-infrared band, with obvious "green peak" characteristics and "red edge effect". 2) In the three wavebands of 954-973 nm, 1184-1198 nm and 1440-1462 nm, desert plants have obvious water absorption valleys. Among them, the correlation coefficient between spectral reflectance and water content in the 1440-1462 nm band is greater than 0.8, and they have strong linear correlation. 3) WBI (Water Band Index), NDWI (Normalized Difference Water Index), NDII (Normalized Difference Infrared Index), MSI (Moisture Stress Index) were significantly correlated with plant water content (P<0.05), and the measured values of canopy moisture content index and vegetation moisture have high consistency and can reflect the change of moisture content of desert vegetation.

DOI 10.11648/j.jenr.20190801.12
Published in Journal of Energy and Natural Resources (Volume 8, Issue 1, March 2019)
Page(s) 6-11
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Spectral Characteristics, Plant Water Content, Correlation Coefficient, Canopy Moisture Content Index, Desert Plant, Minqin

References
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[2] Tong Q X, Zhang B, Zheng L F. Hyperspectral Remote Sensing: Principle, Technology and Application. Beijing: Higher Education Press, 2006. (in Chinese)
[3] Pu R L, Gong P. Hyperspectral Remote Sensing and Its Application. Beijing: Higher Education Press, 2000. (in Chinese)
[4] Zhao Z, Li X, Yin Y B, Zhou S B. Analysis of spectral features based on water content of desert vegetation. Spectroscopy and Spectral Analysis, 2010, 30 (9): 2500-2503. (in Chinese)
[5] Zhao Z. Analysis of Spectral Features Based on Water Content of Xinjiang Desert Plants. Master Thesis. Urumqi: Xinjiang Agricultural University, 2011. (in Chinese)
[6] Wang P L, Zhang J M, Zhang C M, Xu M S, Wang L. The relationships between spectral features and water content of the dominat plant species in the Tengger Desert. Journal of Desert Research, 2013, 33 (3): 737-742. (in Chinese)
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[8] Xia X W, Jin G L, An S Z, Fan Y M, Liang N. Spectral characteristics of typical plants in Seriphidium transiliense desert grassland under enclosure. Pratacultural Science, 2015, 32 (6): 870-876. (in Chinese)
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[16] Cheng Y L, Wang Z J, Hong J M. Analysis of spectral characteristics on different coverage of Hemarthria altissima in Yeyahu Wetland. Journal of Capital Normal University: Natural Sciences Edition, 2013, 34 (6): 16-21. (in Chinese)
[17] Li Z Z, Zheng X, Niu D K, Guo X M, Xie B Y, Zhang X L. The study on hyperspectral characteristics of main community types in mountain meadow. Pratacultural Science, 2016, 33 (8): 1492-1501. (in Chinese)
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  • APA Style

    Wei Huaidong, Li Jingjing, Chen Fang, Zhang Bo, Zhou Lanping, et al. (2019). The Characteristic Analysis of Canopy Spectrum and Moisture Content of 10 Typical Arid Desert Plants. Journal of Energy and Natural Resources, 8(1), 6-11. https://doi.org/10.11648/j.jenr.20190801.12

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    ACS Style

    Wei Huaidong; Li Jingjing; Chen Fang; Zhang Bo; Zhou Lanping, et al. The Characteristic Analysis of Canopy Spectrum and Moisture Content of 10 Typical Arid Desert Plants. J. Energy Nat. Resour. 2019, 8(1), 6-11. doi: 10.11648/j.jenr.20190801.12

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    AMA Style

    Wei Huaidong, Li Jingjing, Chen Fang, Zhang Bo, Zhou Lanping, et al. The Characteristic Analysis of Canopy Spectrum and Moisture Content of 10 Typical Arid Desert Plants. J Energy Nat Resour. 2019;8(1):6-11. doi: 10.11648/j.jenr.20190801.12

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  • @article{10.11648/j.jenr.20190801.12,
      author = {Wei Huaidong and Li Jingjing and Chen Fang and Zhang Bo and Zhou Lanping and Li Ya and Yang Xuemei},
      title = {The Characteristic Analysis of Canopy Spectrum and Moisture Content of 10 Typical Arid Desert Plants},
      journal = {Journal of Energy and Natural Resources},
      volume = {8},
      number = {1},
      pages = {6-11},
      doi = {10.11648/j.jenr.20190801.12},
      url = {https://doi.org/10.11648/j.jenr.20190801.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jenr.20190801.12},
      abstract = {Plant water is a main factor to affect physiological and biochemical indexes of plants like photosynthesis, respiration, and biomass and so on. The investigation of plant water content is an important part of vegetation research. The study of the relationship between water content and canopy spectrum of typical desert plants by hyper spectral has great significance for remote sensing monitoring of vegetation in arid desert areas. The canopy spectral curves of 10 typical desert plants were determined by ASD portable ground spectrometer in this study. The correlation coefficient method and vegetation index method were used to analyze the spectral characteristics of different desert plants and their relationship with canopy moisture content. The results show: 1) the reflectance curve of desert plants has the general characteristics of green plants in the visible-near-infrared band, with obvious "green peak" characteristics and "red edge effect". 2) In the three wavebands of 954-973 nm, 1184-1198 nm and 1440-1462 nm, desert plants have obvious water absorption valleys. Among them, the correlation coefficient between spectral reflectance and water content in the 1440-1462 nm band is greater than 0.8, and they have strong linear correlation. 3) WBI (Water Band Index), NDWI (Normalized Difference Water Index), NDII (Normalized Difference Infrared Index), MSI (Moisture Stress Index) were significantly correlated with plant water content (P<0.05), and the measured values of canopy moisture content index and vegetation moisture have high consistency and can reflect the change of moisture content of desert vegetation.},
     year = {2019}
    }
    

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  • TY  - JOUR
    T1  - The Characteristic Analysis of Canopy Spectrum and Moisture Content of 10 Typical Arid Desert Plants
    AU  - Wei Huaidong
    AU  - Li Jingjing
    AU  - Chen Fang
    AU  - Zhang Bo
    AU  - Zhou Lanping
    AU  - Li Ya
    AU  - Yang Xuemei
    Y1  - 2019/03/08
    PY  - 2019
    N1  - https://doi.org/10.11648/j.jenr.20190801.12
    DO  - 10.11648/j.jenr.20190801.12
    T2  - Journal of Energy and Natural Resources
    JF  - Journal of Energy and Natural Resources
    JO  - Journal of Energy and Natural Resources
    SP  - 6
    EP  - 11
    PB  - Science Publishing Group
    SN  - 2330-7404
    UR  - https://doi.org/10.11648/j.jenr.20190801.12
    AB  - Plant water is a main factor to affect physiological and biochemical indexes of plants like photosynthesis, respiration, and biomass and so on. The investigation of plant water content is an important part of vegetation research. The study of the relationship between water content and canopy spectrum of typical desert plants by hyper spectral has great significance for remote sensing monitoring of vegetation in arid desert areas. The canopy spectral curves of 10 typical desert plants were determined by ASD portable ground spectrometer in this study. The correlation coefficient method and vegetation index method were used to analyze the spectral characteristics of different desert plants and their relationship with canopy moisture content. The results show: 1) the reflectance curve of desert plants has the general characteristics of green plants in the visible-near-infrared band, with obvious "green peak" characteristics and "red edge effect". 2) In the three wavebands of 954-973 nm, 1184-1198 nm and 1440-1462 nm, desert plants have obvious water absorption valleys. Among them, the correlation coefficient between spectral reflectance and water content in the 1440-1462 nm band is greater than 0.8, and they have strong linear correlation. 3) WBI (Water Band Index), NDWI (Normalized Difference Water Index), NDII (Normalized Difference Infrared Index), MSI (Moisture Stress Index) were significantly correlated with plant water content (P<0.05), and the measured values of canopy moisture content index and vegetation moisture have high consistency and can reflect the change of moisture content of desert vegetation.
    VL  - 8
    IS  - 1
    ER  - 

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Author Information
  • Collage of Geography and Environmental Science, Northwest Normal University, Lanzhou, China; The State Key Laboratory Breeding Base of Desertification and Aeolian Sand Disaster Combating of Gansu Desert Control Research Institute, Lanzhou, China

  • The State Key Laboratory Breeding Base of Desertification and Aeolian Sand Disaster Combating of Gansu Desert Control Research Institute, Lanzhou, China

  • The State Key Laboratory Breeding Base of Desertification and Aeolian Sand Disaster Combating of Gansu Desert Control Research Institute, Lanzhou, China

  • Collage of Geography and Environmental Science, Northwest Normal University, Lanzhou, China

  • The State Key Laboratory Breeding Base of Desertification and Aeolian Sand Disaster Combating of Gansu Desert Control Research Institute, Lanzhou, China

  • The State Key Laboratory Breeding Base of Desertification and Aeolian Sand Disaster Combating of Gansu Desert Control Research Institute, Lanzhou, China

  • The State Key Laboratory Breeding Base of Desertification and Aeolian Sand Disaster Combating of Gansu Desert Control Research Institute, Lanzhou, China

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