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Related Experiment Video

Updated: Jun 3, 2026

Calibrated Passive Sampling - Multi-plot Field Measurements of NH3 Emissions with a Combination of Dynamic Tube Method and Passive Samplers
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[Estimation of optimum normalized difference spectral index for nitrogen accumulation in wheat leaf based on reduced

Xia Yao1, Xiao-jun Liu, Wei Wang

  • 1Jiangsu Province Key Laboratory for Information Agriculture, Nanjing Agricultural University, Nanjing 210095, China. yaoxia@njau.edu.cn

Ying Yong Sheng Tai Xue Bao = the Journal of Applied Ecology
|March 30, 2011
PubMed
Summary

Accurate wheat nitrogen monitoring is possible using hyperspectral imaging. A new index, normalized difference spectral index (NDSI) at 860nm and 720nm, accurately estimates leaf nitrogen accumulation (LNA) in winter wheat.

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Area of Science:

  • Agricultural remote sensing
  • Plant physiology
  • Spectroscopy

Context:

  • Accurate monitoring of crop nitrogen status is crucial for optimizing fertilizer application and yield.
  • Hyperspectral reflectance data offers a non-destructive method for assessing plant physiological parameters.
  • Previous methods for estimating leaf nitrogen accumulation (LNA) often require destructive sampling.

Purpose:

  • To identify sensitive spectral bands and develop a key index for estimating wheat LNA using ground-based hyperspectral data.
  • To establish a reliable prediction model for wheat LNA based on hyperspectral information.
  • To explore the potential of normalized difference spectral indices (NDSI) for precise LNA estimation.

Summary:

  • Field experiments utilized hyperspectral canopy reflectance and leaf nitrogen accumulation (LNA) measurements across wheat varieties and nitrogen levels.
  • Analysis revealed sensitive spectral bands in the visible and near-infrared regions, particularly at 860 nm and 720 nm.
  • A monitoring model using NDSI(860,720) was developed (LNA = 26.34 x [NDSI(860,720)](1.887), R² = 0.900), showing high accuracy (0.823) and low RMSE (0.991 g N x m⁻²) in independent tests.

Impact:

  • The developed NDSI(860,720) and its regression model provide a reliable, non-destructive tool for estimating winter wheat LNA.
  • This facilitates precise nitrogen management in agriculture, potentially leading to improved crop yields and reduced environmental impact.
  • The study highlights the utility of ground-based hyperspectral analysis for detailed crop status monitoring.