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Dual-Wavelength LiDAR with a Single-Pixel Detector Based on the Time-Stretched Method.

Simin Chen1, Shaojing Song1, Yicheng Wang2,3

  • 1School of Computer and Information Engineering, Shanghai Polytechnic University, Shanhai 201209, China.

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|September 14, 2024
PubMed
Summary
This summary is machine-generated.

This study presents a novel, cost-effective dual-wavelength LiDAR system for precise vegetation analysis. The time-stretched method enables efficient Normalized Difference Vegetation Index (NDVI) data collection for agriculture and forestry.

Keywords:
NDVIdual-wavelength LiDARtime-stretched

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Area of Science:

  • Remote Sensing
  • Forestry Science
  • Agricultural Technology

Background:

  • Normalized Difference Vegetation Index (NDVI) is crucial for plant health assessment in agriculture and forestry.
  • Traditional sensors lack vertical data; dual-wavelength LiDAR offers this but faces cost and efficiency challenges.
  • Existing dual-wavelength LiDAR systems are expensive and slow due to multiple detectors.

Purpose of the Study:

  • To develop a cost-effective and efficient dual-wavelength LiDAR system for enhanced NDVI data collection.
  • To overcome the limitations of existing LiDAR systems in detecting dual-wavelength echoes.
  • To enable improved precision agriculture and forest management through detailed vegetation structure analysis.

Main Methods:

  • Introduced a time-stretched method to separate two laser wavelengths (600 nm and 800 nm) in the time dimension.
  • Utilized a supercontinuum laser and a single-pixel detector with specialized time-stretched transmission optics.
  • Validated ranging accuracy (approx. 3 mm) and evaluated system performance on various vegetation types and conditions.

Main Results:

  • Achieved high ranging accuracy (approx. 3 mm) with a high sampling rate oscilloscope.
  • Demonstrated the system's ability to detect NDVI variations linked to chlorophyll and water content in plants.
  • Analyzed the impact of incidence angle on reflectance and NDVI using the radar equation.

Conclusions:

  • The proposed time-stretched dual-wavelength LiDAR system is effective for agricultural and forestry applications.
  • This technology offers a cost-effective and efficient solution for precision agriculture and forest management.
  • The system provides a new technological approach for detailed vegetation structure and health monitoring.