首页> 外文期刊>Environmental earth sciences >Spectral characteristics of alpine grassland and their changes responding to grassland degradation on the Tibetan Plateau
【24h】

Spectral characteristics of alpine grassland and their changes responding to grassland degradation on the Tibetan Plateau

机译:青藏高原高寒草地光谱特征及其对草地退化的响应

获取原文
获取原文并翻译 | 示例
           

摘要

Remote sensing is used as the indispensable technology in alpine grassland degradation assessment especially at regional scale on the Tibetan Plateau. However, the lack of field spectral data, as the foundation of remote sensing, due to the formidable natural and climate conditions hinders the understanding of spectral characteristics of alpine grassland and their degradation assessment. In this study, spectral characteristics of alpine grasslands and their changes responding to degradation were explored. The results showed that the main spectral characteristics for discriminating the dominant species of alpine meadow (Kobresia littledalei and Kobresia pygmaea), alpine steppe (Stipa purpurea) and desert (Potentilla fruticosa) are spectral features of chlorophyll, cellulose and water which are related to their growth form, plant inclination and residue of withered leaf sheaths. The spectral curves of alpine meadow have a much smaller variety over the whole spectral region compared to those of alpine steppe and desert which generally have weaker chlorophyll and water absorption features and more noticeable non-vegetation features. Different grassland degradation processes exhibit different patterns of spectral characteristics change due to the species composition, vegetation succession, vegetation coverage and soil background. Grassland degradation can happen without obvious vegetation coverage reduction or even with an increment of NDVI (normalized difference vegetation index). Therefore, the assessment of grassland degradation cannot be fulfilled well using single vegetation index or spectral feature. The combination of several vegetation indices or hyperspectral remote sensing along with the priori knowledge is needed in order to perform the assessment more accurately in further studies.
机译:遥感是高寒草地退化评估中必不可少的技术,特别是在青藏高原的区域尺度上。然而,由于强大的自然和气候条件,缺乏作为遥感基础的野外光谱数据阻碍了对高寒草地光谱特性及其退化评估的了解。在这项研究中,探讨了高山草原的光谱特征及其对退化的响应。结果表明,区分高寒草甸优势种(小嵩草和小嵩草),高寒草原(Stipa purpurea)和沙漠化(Potentilla fruticosa)的主要光谱特征是叶绿素,纤维素和水的光谱特征,这与它们的相关性有关。生长形式,植物倾向和枯萎的叶鞘残留。与通常具有较弱的叶绿素和水吸收特征以及更明显的非植被特征的高寒草原和荒漠相比,高寒草甸的光谱曲线在整个光谱区域中的变化要小得多。由于物种组成,植被演替,植被覆盖和土壤背景,不同的草地退化过程表现出不同的光谱特征变化模式。草地退化可能会发生,而不会明显减少植被覆盖率,甚至不会增加NDVI(归一化植被指数)。因此,使用单一植被指数或光谱特征无法很好地完成对草地退化的评估。需要将几种植被指数或高光谱遥感与先验知识相结合,以便在进一步研究中更准确地进行评估。

著录项

  • 来源
    《Environmental earth sciences》 |2015年第3期|2115-2123|共9页
  • 作者单位

    Nanjing Univ Informat Sci & Technol, Sch Geog & Remote Sensing, Nanjing 210044, Jiangsu, Peoples R China;

    Nanjing Inst Environm Sci, Minist Environm Protect, Nanjing 210042, Jiangsu, Peoples R China;

    Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing 100101, Peoples R China;

    Nanjing Inst Environm Sci, Minist Environm Protect, Nanjing 210042, Jiangsu, Peoples R China;

    Chinese Acad Sci, Inst Subtrop Agr, Changsha 410125, Hunan, Peoples R China;

    Nanjing Inst Environm Sci, Minist Environm Protect, Nanjing 210042, Jiangsu, Peoples R China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Spectral analysis; Alpine grassland; Spectral characteristic; Vegetation index; Tibetan Plateau;

    机译:光谱分析高寒草原光谱特征植被指数西藏高原;

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号