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A comparative evaluation of spectral vegetation indices for the estimation of biophysical characteristics of Mediterranean semi-deciduous shrub communities

机译:光谱植被指数的比较评价,用于估计地中海半落叶灌木群落的生物物理特征

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摘要

Human civilizations have made intensive use of the Mediterranean Basin for millennia, resulting in a profound impact on the natural ecosystems. Nowadays, the drier zones with degraded soils are covered with drought semi-deciduous plant communities. The aim of this study was to compare the ability of various spectral vegetation indices (VIs) computed from a Landsat Thematic Mapper (TM) image to discriminate different vegetation biophysical parameters of these communities and thus to assess their capability to monitor long-term vegetation changes. It was found that although semi-deciduous plants display a spectral behaviour similar to that of semi-arid vegetation, VIs can estimate not only vegetation abundance but also changes in vegetation structure. Normalized difference VIs are highly correlated to vegetation amount-related parameters while soil-related VIs respond basically to canopy structural parameters. Our results indicate that satellite imagery can be used to map biomass in Mediterranean scrubland regions, and show that it has the potential to discriminate types of semi-deciduous shrub communities with different crown architectures.
机译:几千年来,人类文明大量使用了地中海盆地,对自然生态系统产生了深远影响。如今,土壤退化的干旱地区布满了干旱的半落叶植物群落。这项研究的目的是比较从Landsat Thematic Mapper(TM)图像计算得出的各种光谱植被指数(VI)的能力,以区分这些群落的不同植被生物物理参数,从而评估其监测长期植被变化的能力。研究发现,尽管半落叶植物的光谱行为类似于半干旱植被,但VI不仅可以估算植被丰度,而且可以估算植被结构的变化。归一化差异VI与植被数量相关的参数高度相关,而与土壤相关的VI基本响应冠层结构参数。我们的结果表明,卫星图像可用于绘制地中海灌木丛地区的生物量,并表明它具有区分具有不同树冠结构的半落叶灌木群落类型的潜力。

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  • 来源
    《International journal of remote sensing》 |2011年第8期|p.2275-2296|共22页
  • 作者

    T. CALVAO; J. M. PALMEIRIM;

  • 作者单位

    Departamento de Ciencias e Engenharia do Ambiente, Faculdade de Ciencias e Tecnologia, Universidade Nova de Lisboa, 2829-516 Campus de Caparica, Portugal;

    Centro de Biologia Ambiental, Departamento de Biologia Animal, Faculdade de Ciencias, Universidade de Lisboa, 1749-016 Lisbon, Portugal;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
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