Application of day and night digital photographs for estimating maize biophysical characteristics

Toshihiro Sakamoto, Anatoly A Gitelson, Brian D. Wardlow, Timothy J. Arkebauer, Shashi B. Verma, Andrew E. Suyker, Michio Shibayama

Research output: Contribution to journalArticle

21 Citations (Scopus)

Abstract

In this study, an inexpensive camera-observation system called the Crop Phenology Recording System (CPRS), which consists of a standard digital color camera (RGB cam) and a modified near-infrared (NIR) digital camera (NIR cam), was applied to estimate green leaf area index (LAI), total LAI, green leaf biomass and total dry biomass of stalks and leaves of maize. The CPRS was installed for the 2009 growing season over a rainfed maize field at the University of Nebraska-Lincoln Agricultural Research and Development Center near Mead, NE, USA. The vegetation indices called Visible Atmospherically Resistant Index (VARI) and two green-red-blue (2g-r-b) were calculated from day-time RGB images taken by the standard commercially-available camera. The other vegetation index called Night-time Relative Brightness Index in NIR (NRBI NIR) was calculated from night-time flash NIR images taken by the modified digital camera on which a NIR band-pass filter was attached. Sampling inspections were conducted to measure bio-physical parameters of maize in the same experimental field. The vegetation indices were compared with the biophysical parameters for a whole growing season. The VARI was found to accurately estimate green LAI (R 2 = 0.99) and green leaf biomass (R 2 = 0.98), as well as track seasonal changes in maize green vegetation fraction. The 2g-r-b was able to accurately estimate total LAI (R 2 = 0.97). The NRBI NIR showed the highest accuracy in estimation of the total dry biomass weight of the stalks and leaves (R 2 = 0.99). The results show that the camera-observation system has potential for the remote assessment of maize biophysical parameters at low cost.

Original languageEnglish (US)
Pages (from-to)285-301
Number of pages17
JournalPrecision Agriculture
Volume13
Issue number3
DOIs
StatePublished - Jun 1 2012

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cameras
photographs
Zea mays
Biomass
leaf area index
corn
biomass
Observation
phenology
leaves
growing season
mead
Agriculture
research and development
agricultural research
Color
Weights and Measures
Costs and Cost Analysis
vegetation
Research

Keywords

  • 2g-r-b
  • Crop phenology
  • Dry biomass
  • NRBI
  • Night-time flash image
  • VARI

ASJC Scopus subject areas

  • Agricultural and Biological Sciences(all)

Cite this

Sakamoto, T., Gitelson, A. A., Wardlow, B. D., Arkebauer, T. J., Verma, S. B., Suyker, A. E., & Shibayama, M. (2012). Application of day and night digital photographs for estimating maize biophysical characteristics. Precision Agriculture, 13(3), 285-301. https://doi.org/10.1007/s11119-011-9246-1

Application of day and night digital photographs for estimating maize biophysical characteristics. / Sakamoto, Toshihiro; Gitelson, Anatoly A; Wardlow, Brian D.; Arkebauer, Timothy J.; Verma, Shashi B.; Suyker, Andrew E.; Shibayama, Michio.

In: Precision Agriculture, Vol. 13, No. 3, 01.06.2012, p. 285-301.

Research output: Contribution to journalArticle

Sakamoto, T, Gitelson, AA, Wardlow, BD, Arkebauer, TJ, Verma, SB, Suyker, AE & Shibayama, M 2012, 'Application of day and night digital photographs for estimating maize biophysical characteristics', Precision Agriculture, vol. 13, no. 3, pp. 285-301. https://doi.org/10.1007/s11119-011-9246-1
Sakamoto T, Gitelson AA, Wardlow BD, Arkebauer TJ, Verma SB, Suyker AE et al. Application of day and night digital photographs for estimating maize biophysical characteristics. Precision Agriculture. 2012 Jun 1;13(3):285-301. https://doi.org/10.1007/s11119-011-9246-1
Sakamoto, Toshihiro ; Gitelson, Anatoly A ; Wardlow, Brian D. ; Arkebauer, Timothy J. ; Verma, Shashi B. ; Suyker, Andrew E. ; Shibayama, Michio. / Application of day and night digital photographs for estimating maize biophysical characteristics. In: Precision Agriculture. 2012 ; Vol. 13, No. 3. pp. 285-301.
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