[Progress in inversion of vegetation nitrogen concentration by hyperspectral remote sensing]

Area of Science:

• * Agricultural Science
• * Environmental Science
• * Remote Sensing

Background:

• * Nitrogen is vital for plant life, influencing protein, nucleic acid, chlorophyll, and enzyme synthesis.
• * Nitrogen's role in photosynthesis makes its accurate estimation crucial for vegetation health.
• * Hyperspectral remote sensing has been a key technology for vegetation nitrogen concentration inversion since the 1970s.

Purpose of the Study:

• * To review the principles and challenges of monitoring vegetation nitrogen concentration using hyperspectral remote sensing.
• * To detail the main technological methods for inverting vegetation nitrogen concentration.
• * To analyze recent research findings and discuss future trends in the field.

Main Methods:

• * Vegetation nitrogen spectral index development and application.
• * Inversion of nitrogen content based on chlorophyll index.
• * Regression modeling for nitrogen concentration estimation.
• * Methods for eliminating influencing factors in remote sensing inversion.

Main Results:

• * Detailed introduction of various hyperspectral remote sensing techniques for nitrogen estimation.
• * Summary and analysis of correlative research conclusions.
• * Identification of key spectral characteristics related to vegetation nitrogen.

Conclusions:

• * Hyperspectral remote sensing provides powerful tools for vegetation nitrogen monitoring.
• * Continued research is refining inversion accuracy and addressing influencing factors.
• * Future trends likely involve advanced algorithms and broader applications in agriculture and ecology.