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This article in AJ

  1. Vol. 96 No. 4, p. 1139-1147
     
    Received: Oct 8, 2003


    * Corresponding author(s): avina@calmit.unl.edu
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doi:10.2134/agronj2004.1139

Monitoring Maize (Zea mays L.) Phenology with Remote Sensing

  1. Andrés Viña *a,
  2. Anatoly A. Gitelsona,
  3. Donald C. Rundquista,
  4. Galina Keydanb,
  5. Bryan Leavittb and
  6. James Schepersc
  1. a Cent. for Advanced Land Manage. Information Technol., and School of Nat. Resour., Univ. of Nebraska–Lincoln, 113 Nebraska Hall, Lincoln, NE 68588-0517
    b Cent. for Advanced Land Manage. Information Technol., Univ. of Nebraska–Lincoln, 113 Nebraska Hall, Lincoln, NE 68588-0517
    c USDA-ARS and Dep. of Agron. and Hortic., 113 Keim Hall, Univ. of Nebraska–Lincoln, Lincoln, NE 68583-0915

Abstract

Monitoring crop phenology is required for understanding intra- and interannual variations of agroecosystems, as well as for improving yield prediction models. The objective of this paper is to remotely evaluate the phenological development of maize (Zea mays L.) in terms of both biomass accumulation and reproductive organ appearance. Maize phenology was monitored by means of the recently developed visible atmospherically resistant indices, derived from spectral reflectance data. Visible atmospherically resistant indices provided significant information for crop phenology monitoring as they allowed us to detect: (i) changes due to biomass accumulation, (ii) changes induced by the appearance and development of reproductive organs, and (iii) the onset of senescence, earlier than widely used vegetation indices. Visible atmospherically resistant indices allowed the identification of the timing of phenological transitions that are related to the maize physiological development. They also allowed identification of the onset of the grain-fill period, which is important since maximum yield potential of maize plants depends on optimal environmental conditions during this period.

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Copyright © 2004. American Society of AgronomyAmerican Society of Agronomy