浙江农业学报 ›› 2024, Vol. 36 ›› Issue (11): 2596-2604.DOI: 10.3969/j.issn.1004-1524.20231352

• 生物系统工程 • 上一篇    下一篇

偏振光谱在大田作物农学参量反演中的研究进展

许辰一1(), 杨佳欣1, 金忠煜1, 于丰华1,2,*()   

  1. 1.沈阳农业大学 信息与电气工程学院,辽宁 沈阳 110866
    2.辽宁省智慧农业技术重点实验室,辽宁 沈阳 110866
  • 收稿日期:2023-12-02 出版日期:2024-11-25 发布日期:2024-11-27
  • 作者简介:许辰一(1996—),男,辽宁沈阳人,硕士研究生,研究方向为基于无人机矢量高光谱遥感水稻氮素研究。E-mail:xtyxcy11@163.com
  • 通讯作者: *于丰华,E-mail:adan@syau.edu.cn
  • 基金资助:
    国家自然科学基金(32201652)

Research progress in polarization spectroscopy in the inversion of agronomic parameters of field crops

XU Chenyi1(), YANG Jiaxin1, JIN Zhongyu1, YU Fenghua1,2,*()   

  1. 1. College of Information and Electrical Engineering, Shenyang Agricultural University, Shenyang 110866, China
    2. Key Laboratory of Intelligent Agricultural Technology of Liaoning Province, Shenyang 110866, China
  • Received:2023-12-02 Online:2024-11-25 Published:2024-11-27

摘要:

大田作物的偏振光谱信息是利用偏振遥感技术部分去除田间作物镜面反射的光谱信息,进而提升利用光谱技术对大田作物农情信息的监测精度。本研究综述了大田作物偏振光谱遥感数据获取、数据处理,以及大田作物长势信息定量反演关键技术,梳理了偏振光谱技术在大田作物监测方面的基本研究方法,总结了作物偏振光谱的特性,分析了近年来偏振光谱在大田作物农学参量定量反演研究中的发展态势,以期从不同的角度来展现偏振光谱在大田作物研究中的潜在应用,为今后大田作物偏振光谱检测研究提供参考。

关键词: 偏振, 作物, 辐射传输, 农业遥感, 光谱

Abstract:

The polarization spectrum information of field crops is utilized through polarization remote sensing technology to partially eliminate the specular reflection in the spectral data of field crops, thereby enhancing the accuracy of crop condition detection using spectral technology. This study reviews key technologies for acquiring and processing polarization spectral remote sensing data of field crops, as well as quantitative inversion of crop growth information. It outlines the fundamental research methods of polarization spectrum technology in crop monitoring, summarizes the characteristics of crop polarization spectra, and analyzes recent developments in the quantitative inversion of agronomic parameters using polarization spectra in field crops. This review aims to present the potential applications of polarization spectrum in field crop research from different perspectives, providing a reference for future studies in polarization spectral detection of field crops.

Key words: polarization, crop, radiative transfer, agricultural remote sensing, spectrum

中图分类号: