院报 ›› 2015, Vol. 32 ›› Issue (1): 125-130.DOI: 10.3969/j.issn.1001-5485.2015.01.026

• 信息技术应用 • 上一篇    

宽波段遥感植被指数研究进展综述

李喆1, 胡蝶2, 赵登忠1, 向大享1   

  1. 1. 空间信息技术应用研究所, 武汉 430010;
    2.长江水利委员会 网络与信息中心, 武汉 430010
  • 收稿日期:2014-03-12 出版日期:2015-01-01 发布日期:2015-01-15
  • 作者简介:李喆(1980-),男,湖北监利人,高级工程师,博士后,主要从事防汛抗旱减灾、数字流域、水利信息化、3S水利应用研究,(电话)027-82926469(电子信箱)lizhe@mail.crsri.cn。
  • 基金资助:
    国家自然科学基金项目(41001281);国家科技支撑计划项目(2013BAB05B01);中国博士后基金项目(20100471128);科技部农业科技成果转化资金项目(2010GB23320639);湖北省自然科学基金项目(2011CDB013)

Research Advance of Broadband Vegetation Index UsingRemotely Sensed Images

LI Zhe1, HU Die2, ZHAO Deng-zhong1, XIANG Da-xiang1   

  1. 1.Spatial Information Technology Application Department, Yangtze River Scientific Research Institute, Wuhan 430010, China;
    2.Network and Information Center, Changjiang Water Resource Commission, Wuhan 430010, China
  • Received:2014-03-12 Online:2015-01-01 Published:2015-01-15

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摘要： 植被指数是地表资源环境管理和定量评价中的一个关键性指标,能有效地描述绿色植物长势和生物量信息。从绿色植被遥感光谱特性分析出发,系统介绍几种具有代表性的宽波段植被指数模型,将其划分为3大类型,即数值计算型、土壤调节型和大气调节型。数值计算型主要包括比值植被指数、差值植被指数、归一化差值植被指数等,其计算值的物理意义不清楚。土壤调节型主要包括垂直植被指数、土壤调节植被指数、全球环境监测指数等,通过引入土壤调节因子来突出植被信息,减少土壤背景的干扰。大气调节型主要包括抗大气植被指数、大气影响抗阻植被指数、增强型植被指数等,通过引入大气调节因子来突出植被信息,减少大气气溶胶的影响。最后,对各类模型存在的问题和下一步的发展方向进行了较为深入的探讨。

关键词: 宽波段, 植被指数, 遥感光谱波段, 定量化建模, 土壤调节, 大气调节

Abstract: Broadband vegetation index, which embodies the growth of green vegetation and surface biomass, plays an important role in quantitative management and prediction of surface resource and environment. According to the remotely-sensed spectral features of green vegetation, we summarize some typical vegetation indices and divide them into three categories: simple band combination approach, soil adjusted approach and atmospheric adjusted approach. Simple band combination approach includes ratio vegetation index, differential vegetation index, and normalized differential vegetation index, but the physical principle of them is still unclear. Soil adjustment approach includes perpendicular vegetation index, soil-adjusted vegetation index, and global environment monitoring index, which enhance vegetation information and reduce the interruption of soil background through the introduction of soil-adjusted parameter. Atmospheric adjusted approach includes atmospheric-resistant vegetation index, and enhanced vegetation index, which enhance atmospheric information and reduce the impact of atmospheric aerosol through the introduction of atmosphere adjusted parameter. Finally, the development trends and future prospects are also discussed.

Key words: broadband, vegetation index, remotely sensed spectral band, quantitative model, soil-adjusted, atmospheric adjusted

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