Predicting foliar biochemistry of tea, Camellia sinensis, using reflectance spectra measured at powder, leaf and canopy levels

Meng Bian, Andrew K. Skidmore, Martin Schlerf, Tiejun Wang, Yanfang Liu, Rong Zeng, Teng Fei

Research output: Contribution to journalArticleAcademicpeer-review

29 Citations (Scopus)
Original languageEnglish
Pages (from-to)148-156
JournalISPRS journal of photogrammetry and remote sensing
Volume78
DOIs
Publication statusPublished - 2013

Keywords

  • Total tea polyphenols
  • Free amino acids
  • Soluble sugars
  • Tea quality
  • Field spectroscopy
  • Partial least squares regression

Cite this

@article{a8a3e2e435a94a6f8328155caa4f23e6,
title = "Predicting foliar biochemistry of tea, Camellia sinensis, using reflectance spectra measured at powder, leaf and canopy levels",
keywords = "Total tea polyphenols, Free amino acids, Soluble sugars, Tea quality, Field spectroscopy, Partial least squares regression",
author = "Meng Bian and Skidmore, {Andrew K.} and Martin Schlerf and Tiejun Wang and Yanfang Liu and Rong Zeng and Teng Fei",
year = "2013",
doi = "10.1016/j.isprsjprs.2013.02.002",
language = "English",
volume = "78",
pages = "148--156",
journal = "ISPRS journal of photogrammetry and remote sensing",
issn = "0924-2716",
publisher = "Elsevier",

}

Predicting foliar biochemistry of tea, Camellia sinensis, using reflectance spectra measured at powder, leaf and canopy levels. / Bian, Meng; Skidmore, Andrew K.; Schlerf, Martin; Wang, Tiejun; Liu, Yanfang; Zeng, Rong; Fei, Teng.

In: ISPRS journal of photogrammetry and remote sensing, Vol. 78, 2013, p. 148-156.

Research output: Contribution to journalArticleAcademicpeer-review

TY - JOUR

T1 - Predicting foliar biochemistry of tea, Camellia sinensis, using reflectance spectra measured at powder, leaf and canopy levels

AU - Bian, Meng

AU - Skidmore, Andrew K.

AU - Schlerf, Martin

AU - Wang, Tiejun

AU - Liu, Yanfang

AU - Zeng, Rong

AU - Fei, Teng

PY - 2013

Y1 - 2013

KW - Total tea polyphenols

KW - Free amino acids

KW - Soluble sugars

KW - Tea quality

KW - Field spectroscopy

KW - Partial least squares regression

UR - https://ezproxy2.utwente.nl/login?url=http://www.sciencedirect.com/science/article/pii/S0924271613000403

UR - https://ezproxy2.utwente.nl/login?url=https://webapps.itc.utwente.nl/library/2013/skidmore_pre.pdf

U2 - 10.1016/j.isprsjprs.2013.02.002

DO - 10.1016/j.isprsjprs.2013.02.002

M3 - Article

VL - 78

SP - 148

EP - 156

JO - ISPRS journal of photogrammetry and remote sensing

JF - ISPRS journal of photogrammetry and remote sensing

SN - 0924-2716

ER -