Application of chlorophyll-related vegetation indices for remote estimation of maize productivity

Yi Peng, Anatoly A Gitelson

Research output: Contribution to journalArticle

69 Citations (Scopus)

Abstract

Crop gross primary productivity (GPP) is an important characteristic for evaluating crop nitrogen content and yield, as well as the carbon exchange. Based on the close relationship observed between GPP and total chlorophyll content in crops, we applied a model that relies on a product of chlorophyll-related vegetation index and incoming photosynthetically active radiation for remote estimation of GPP in maize. In this study, we tested the performance of this model for maize GPP estimation based on spectral reflectance collected at a close range, 6m above the top of the canopy, over a period of eight years from 2001 through 2008. Fifteen widely used chlorophyll-related vegetation indices were employed for GPP estimation in irrigated and rainfed maize, and accuracy and uncertainties of the models were compared. We also explored the possibility of using a unified algorithm in estimating maize GPP in fields that are different in irrigation, field history and climatic conditions. The results showed that vegetation indices that closely relate to total canopy chlorophyll content and/or green leaf area index were accurate in GPP estimation. Both green and red edge Chlorophyll Indices, MERIS Terrestrial Chlorophyll Index as well as Simple Ratio were the best approximations of the widely variable GPP in maize under different crop managements and climatic conditions. They were able to predict daily GPP reaching 30gC/m2/d with RMSE below 2.75gC/m2/d.

Original languageEnglish (US)
Pages (from-to)1267-1276
Number of pages10
JournalAgricultural and Forest Meteorology
Volume151
Issue number9
DOIs
StatePublished - Sep 15 2011

Fingerprint

vegetation index
primary productivity
chlorophyll
maize
productivity
corn
crop
crops
canopy
MERIS
model uncertainty
spectral reflectance
crop management
photosynthetically active radiation
leaf area index
nitrogen content
reflectance
irrigation
history
carbon

Keywords

  • Chlorophyll content
  • Gross primary production
  • Vegetation indices

ASJC Scopus subject areas

  • Agronomy and Crop Science
  • Forestry
  • Atmospheric Science
  • Global and Planetary Change

Cite this

Application of chlorophyll-related vegetation indices for remote estimation of maize productivity. / Peng, Yi; Gitelson, Anatoly A.

In: Agricultural and Forest Meteorology, Vol. 151, No. 9, 15.09.2011, p. 1267-1276.

Research output: Contribution to journalArticle

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