Spectroscopy and Spectral Analysis, Volume. 33, Issue 8, 2203(2013)

Estimation of Chlorophyll Content in Apple Tree Canopy Based on Hyperspectral Parameters

PAN Bei*, ZHAO Geng-xing, ZHU Xi-cun, LIU Hai-teng, LIANG Shuang, and TIAN Da-de
Author Affiliations
  • [in Chinese]
  • show less

    The hyperspectral reflectance of apple tree canopy during spring shoots stopping growth period was measured using ASD FieldSpec3 field spectrometer. Original spectral data were processed in deviation forms, and significant spectrum parameters correlated with chlorophyll content were found out with correlation analysis. The best vegetation indices were chosen and the apple canopy chlorophyll content estimation model was established by analyzing vegetation index of two-band combination in the sensitive region 400~1 350 nm. The result showed that (1) The sensitive band region of apple canopy chlorophyll content is 400~1 350 nm. (2) The vegetation index CCI(D794/D763)can commendably estimate the apple canopy chlorophyll content. (3) The model with CCI(D794/D763)as the independent variables was determined to be the best for chlorophyll content prediction of apple tree canopy. Therefore, using hyperspectral technology can estimate apple canopy chlorophyll content more rapidly and accurately, and provides a theoretical basis for rapid apple tree canopy nutrition diagnosis and growth monitoring.

    Tools

    Get Citation

    Copy Citation Text

    PAN Bei, ZHAO Geng-xing, ZHU Xi-cun, LIU Hai-teng, LIANG Shuang, TIAN Da-de. Estimation of Chlorophyll Content in Apple Tree Canopy Based on Hyperspectral Parameters[J]. Spectroscopy and Spectral Analysis, 2013, 33(8): 2203

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Received: Dec. 29, 2012

    Accepted: --

    Published Online: Aug. 12, 2013

    The Author Email: Bei PAN (pb_land@163.com)

    DOI:10.3964/j.issn.1000-0593(2013)08-2203-04

    Topics