Optimising three-band spectral indices to assess aerial N concentration, N uptake and aboveground biomass of winter wheat remotely in China and Germany

Fei Li, Bodo Mistele, Yuncai Hu, Xinping Chen, Urs Schmidhalter

Research output: Contribution to journalArticlepeer-review

65 Scopus citations

Abstract

Remotely and accurately quantifying the canopy nitrogen status in crops is essential for regional studies of N budgets and N balances. In this study, we optimised three-band spectral algorithms to estimate the N status of winter wheat. This study extends previous work to optimise the band combinations further and identifies the optimised central bands and suitable bandwidths of the three-band nitrogen planar domain index (NPDI) for estimating the aerial N uptake, N concentration and aboveground biomass. Analysis of the influence of bandwidth change on the accuracy of estimating the canopy N status and aboveground biomass indicated that the suitable bandwidths for optimised central bands were 37. nm at 846. nm, 13. nm at 738. nm and 57. nm at 560. nm for assessing the aerial N uptake and were 37. nm at 958. nm, 21. nm at 696. nm and 73. nm at 578. nm for the assessment of the aerial N concentration and were 49. nm at 806. nm, 17. nm at 738. nm and 57. nm at 560. nm for the estimation of aboveground biomass. The optimised three-band NPDI could consistently and stably estimate the aerial N uptake and aboveground biomass of winter wheat in the vegetative stage and the aerial N concentration in the reproductive stage compared to the fixed band combinations. With suitable bandwidths, the broadband NPDI demonstrated excellent performance in estimating the aerial N concentration, N uptake and biomass. We conclude that the band-optimised algorithm represents a promising tool to measure the improved performance of the NPDI in estimating the aerial N uptake and biomass in the vegetative stage and the aerial N concentration in the reproductive stage, which will be useful for designing improved nitrogen diagnosis systems and for enhancing the applications of ground- and satellite-based sensors.

Original languageEnglish
Pages (from-to)112-123
Number of pages12
JournalISPRS Journal of Photogrammetry and Remote Sensing
Volume92
DOIs
StatePublished - Jun 2014
Externally publishedYes

Keywords

  • Band selection
  • Hyperspectral indices
  • N status
  • Nitrogen
  • Precision Farming
  • Remote sensing

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