Non-destructive Analysis Chlorophyll Content of Different Genotypes of Poplars Based on Hyperspectral Reflectance Data

被引:1
|
作者
Jin, S. [1 ,2 ]
Dian, Y. [2 ]
Wang, R. [1 ,2 ]
Peng, L. [2 ]
Liu, X. [2 ]
Zhou, Z. [2 ]
Zhong, S. [2 ]
Wang, Y. [2 ]
机构
[1] Chinese Acad Sci, State Key Lab Vegetat & Environm Change, Beijing 100093, Peoples R China
[2] Huazhong Agr Univ, Coll Hort & Forestry Sci, Wuhan 430070, Peoples R China
来源
6TH DIGITAL EARTH SUMMIT | 2016年 / 46卷
关键词
RED-EDGE; LEAF PIGMENT; INDEXES;
D O I
10.1088/1755-1315/46/1/012019
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
Leaf Chlorophyll content (Ct) indicates plant physiological status and can be detected by hyperspectral measurements. However, it is difficult to conclude that different genotypes of same species have the same relationship with the hyperspectral data. The aim of this paper was to test that whether the different genotypes of same species have the similar relationship with hyperspectral reflectance. First of all, spectral reflectance of populus simonii (Populus simonii Carr) and I-72 poplar (Populus euramericana cv. 'San Martino I-72/58') were collected by spectrometric meter, and then extract chlorophyll index (CI) and other 11 types of vegetation indices from the hyperspectral reflectance data. At last, relationships between different vegetation indices and Ct of the two genotypes of poplar were compared. Results show that (1) the relationships between SPAD value and Ct are different in the low and high Ct level, we can choose proper vegetation index, REPIG, mSR705 and SDr/SDb et al to predict the Ct value. (2) Meanwhile, we can use PSSRb and PRI to distinguish fine difference between different genotypes.
引用
收藏
页数:6
相关论文
共 50 条
  • [31] Hyperspectral Non-Destructive Analysis of Red Meat Quality : A Review
    Bai Xue-bing
    Ma Dian-kun
    Zhang Meng-jie
    Ma Rui-qin
    [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42 (07) : 1993 - 1998
  • [32] Non-destructive detection of egg qualities based on hyperspectral imaging
    Yao, Kunshan
    Sun, Jun
    Chen, Chen
    Xu, Min
    Zhou, Xin
    Cao, Yan
    Tian, Yan
    [J]. JOURNAL OF FOOD ENGINEERING, 2022, 325
  • [33] Non-destructive estimation of chlorophyll and nitrogen content in leaf of Rosa damascena (Mill)
    Pal, Probir Kumar
    Singh, Rakesh Devsharan
    Prasad, Ramdeen
    [J]. SOIL SCIENCE AND PLANT NUTRITION, 2012, 58 (05) : 604 - 610
  • [34] Non-destructive assessment of the myoglobin content of Tan sheep using hyperspectral imaging
    Cheng, Lijuan
    Liu, Guishan
    He, Jianguo
    Wan, Guoling
    Ma, Chao
    Ban, Jingjing
    Ma, Limin
    [J]. MEAT SCIENCE, 2020, 167
  • [35] Non-destructive detection of protein content in mulberry leaves by using hyperspectral imaging
    Li, Xunlan
    Peng, Fangfang
    Wei, Zhaoxin
    Han, Guohui
    Liu, Jianfei
    [J]. FRONTIERS IN PLANT SCIENCE, 2023, 14
  • [36] Non-Destructive Detection and Visualization of Soybean Moisture Content Using Hyperspectral Technique
    Jin Cheng-qian
    Guo Zhen
    Zhang Jing
    Ma Cheng-ye
    Tang Xiao-han
    Zhao Nan
    Yin Xiang
    [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42 (10) : 3052 - 3057
  • [37] Non-Destructive Identification for Panax Notoginseng Powder of Different Parts Based on Hyperspectral Imaging Technique
    Yao Kun-shan
    Sun Jun
    Chen Chen
    Xu Min
    Cheng Jie-hong
    Zhou Xin
    [J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43 (07) : 2027 - 2031
  • [38] Hyperspectral data analysis for chlorophyll content derivation in vineyards
    de Arruda, Diniz Carvalho
    Ducati, Jorge Ricardo
    Pithan, Pamela Aude
    Thum, Adriane Brill
    Hoff, Rosemary
    [J]. CIENCIA RURAL, 2024, 54 (07):
  • [39] Non-destructive measurement of chlorophyll b : a ratios and identification of photosynthetic pathways in grasses by reflectance spectroscopy
    Siebke, Katharina
    Ball, Marilyn C.
    [J]. FUNCTIONAL PLANT BIOLOGY, 2009, 36 (10-11) : 857 - 866
  • [40] Shape induced reflectance correction for non-destructive determination and visualization of soluble solids content in winter jujubes using hyperspectral imaging in two different spectral ranges
    Zhao, Yiying
    Zhang, Chu
    Zhu, Susu
    Li, Yijian
    He, Yong
    Liu, Fei
    [J]. POSTHARVEST BIOLOGY AND TECHNOLOGY, 2020, 161