吉林大学学报(信息科学版) ›› 2021, Vol. 39 ›› Issue (2): 178-184.

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基于红边谱段的草地品质评价方法研究

韩 影1, 张艳红1, 陈子琦1, 朱瑞飞2, 闫钟月1   

  1. 1. 吉林大学 地球探测科学与技术学院, 长春 130026;2. 长光卫星技术有限公司 吉林省卫星遥感应用技术重点实验室, 长春 130026
  • 收稿日期:2020-10-07 出版日期:2021-04-19 发布日期:2021-04-27
  • 作者简介:韩影(1994— ), 女, 长春人, 吉林大学硕士研究生, 主要从事地质工程研究, (Tel)86-17843353660(E-mail) hanying19@mails.jlu.edu.cn; 张艳红(1974— ), 女, 山东兰陵人, 吉林大学副教授, 硕士生导师, 主要从事遥感、 地理信息系统在资源环境中的应用研究,(Tel)86-18604457507(E-mail)giswork@163.com
  • 基金资助:
    国家重点研发计划基金资助项目(2016YFC0501201; 2016YFC0500204)

Method of Grassland Quality Evaluation Based on Red-Edge Spectrum

HAN Ying1, ZHANG Yanhong1, CHEN Ziqi1, ZHU Ruifei2, YAN Zhongyue1   

  1. 1. College of Geo-Exploration Science & Technology, Jilin University, Changchun 130026, China; 2. Key Laboratory of Satelite Remote Sensing Application Technology of Jilin Province, Changguang Satellite Technology Limited Company, Changchun 130026, China
  • Received:2020-10-07 Online:2021-04-19 Published:2021-04-27

摘要: 草地资源是我国畜牧业发展的坚实基础。 但由于长期不合理的开发利用, 导致全国近 90% 的可利用草地都存在不同程度的退化。 因此及时准确地监测草地生长状况和掌握反应草地生势的品质参数, 对草地管理具有重要的现实意义。 近年来, 随着遥感技术的不断发展, 越来越多的高分辨率卫星增加了红边谱段。 红边谱段对受病虫害影响的植被反映较为明显, 且受背景影响较小, 被广泛应用于植被品质研究中。 笔者基于吉林一号遥感影像中的 B4 红边波段对植被的显著表达特点进行分析研究, 构建草地品质指数(GQI: Grassland Quality Index), 与单一植被指数相比, 该指数可以更全面的衡量草地品质不同指标的优劣程度。 通过选取与草地品质相关度高的植被指数进行计算并进行主成分分析, 得到草地品质指数(GQI)的得分公式, 计算得到草地品质指数结果。 结果表明: 向海自然保护区 80% 的草地处于品质中等水平, 生长状况优良的草地范围大概占 15% ,与实际情况比较吻合。

关键词: 草地品质指数, 植被指数, 红边谱段, 主成分分析

Abstract: Grassland resources are the firm foundation for development of the country's animal husbandry.However, unreasonable development and utilization over the years has caused nearly 90% of the available grassland to experience varying degrees of degradation. Therefore, accurate and timely monitoring of grassland growth and mastering the quality parameters that reflect the growth of grassland are important for grassland management. In recent years, with the continuous development of remote sensing technology, many high-resolution satellites have added red-edge spectrum bands. Because it reflects more clearly on vegetation affected by plant diseases and insect pests, and is less affected by background, it is widely used in vegetation quality

research. Based on the B4 red edge band in Jilin No. 1 remote sensing image, the significant expression characteristics of vegetation are analyzed and studied, and the GQI (Grassland Quality Index) is constructed.Compared with the single vegetation index, this index can more comprehensively measure the advantages and disadvantages of different indicators of grassland quality. The vegetation index with high correlation with grassland quality is calculated. The principal component analysis is carried out to obtain the scoring formula of GQI, and the grassland quality index results are calculated. The results show that the 80% of grassland in Xianghai Nature Reserve is of medium quality and the range of grassland with good growth status accounts for

about 15% , which is more consistent with the actual situation.

Key words: grassland quality index (GQI), vegetation index, red-edge band, principal component analysis

中图分类号: 

  • TP79