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首页> 外文期刊>Hydrological ProcHydrological Processesrnesses >Delineation of erosion classes in semi‐arid southern African grasslands using vegetation indices from optical remote sensing data
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Delineation of erosion classes in semi‐arid southern African grasslands using vegetation indices from optical remote sensing data

机译：利用光学遥感数据中的植被指数来描述非洲南部半干旱草原的侵蚀类型

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摘要

As stated by many authors in the recent past, soil erosion is one of the major environmental problems in southern Africa and it will become even more severe in the future due to population growth and potential climatic changes. This study concerns the detection of different land degradation stages in semi-arid grassland areas in the upper Mbuluzi-river catchment (Kingdom of Swaziland). It has been carried out within the framework of an interdisciplinary EU-funded project aimed at developing an integrated water resources management system (IWRMS) for water resources analyses and prognostic scenario planning in semi-arid catchments of Southern Africa (Flügel , URL: ). Within this more general framework, particular attention was focused on the determination of high-resolution morphometric parameters for detailed erosion process studies, as well as on the derivation of relationships between vegetation cover and bare soil. The latter has subsequently been used to delineate the vegetation cover density and -factor values for erosion models such as the revised universal soil loss equation. The examples from Southern Africa show that the methods applied are able to identify areas affected by different types of erosion. Furthermore, it is possible to estimate the parameters for a subsequent erosion modelling. Copyright © 2003 John Wiley & Sons, Ltd.
机译：正如最近许多作者所说，水土流失是南部非洲的主要环境问题之一，由于人口增长和潜在的气候变化，水土流失在未来将变得更加严重。这项研究涉及在姆布鲁兹河上游流域（斯威士兰王国）的半干旱草地地区不同土地退化阶段的检测。它是在一个由欧盟资助的跨学科项目的框架内进行的，该项目旨在开发一个综合水资源管理系统（IWRMS），用于南部非洲半干旱流域的水资源分析和预后情景规划（Flügel，URL ：）。在这个更通用的框架内，特别关注的重点是确定用于详细侵蚀过程研究的高分辨率形态计量学参数，以及推导植被覆盖度和裸土之间的关系。后者随后被用于描述植被模型的植被覆盖密度和因子值，例如修正的通用土壤流失方程。南部非洲的例子表明，所采用的方法能够确定受不同类型侵蚀影响的地区。此外，可以为随后的侵蚀建模估计参数。版权所有©2003 John Wiley＆Sons，Ltd.

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  • 作者

    Hochschild Volker; Märker Michael; Rodolfi Giuliano; Staudenrausch Helmut;

  • 作者单位

    Institut für Geographie Friedrich‐Schiller‐Universität Jena Löbdergraben 32 07743 Jena Germany. Institut für Geographie Friedrich‐Schiller‐Universität Jena Löbdergraben 32 D‐07743 Germany.;

    Dipartimento Scienze del Suolo e Nutrizione della Pianta Università di Firenze Piazzale delle Cascine 15 I‐50144 Florence Italy;

    Dipartimento Scienze del Suolo e Nutrizione della Pianta Università di Firenze Piazzale delle Cascine 15 I‐50144 Florence Italy;

    Institut für Geographie Friedrich‐Schiller‐Universität Jena Löbdergraben 32 07743 Jena Germany;

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  • 正文语种 eng
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  • 关键词

    remote sensing; degradation; erosion modelling; Swaziland;

    机译：遥感退化侵蚀模型斯威士兰;

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