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首页> 外文期刊>Transactions of Royal Society of South Africa >Applying the Surface Energy Balance System (SEBS) remote sensing model to estimate spatial variations in evapotranspiration in Southern Zimbabwe
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Applying the Surface Energy Balance System (SEBS) remote sensing model to estimate spatial variations in evapotranspiration in Southern Zimbabwe

机译：应用表面能量平衡系统（SEBS）遥感模型来估算津巴布韦南部蒸发空间变化

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摘要

Accurate, reliable and continuous understanding of water utilisation by different land cover types in arid environments is critical for water loss accounting to ensure sustainable water management in the face of the changing climate. Remote sensing provides a lucrative alternative for mapping and estimating the spatial and temporal distribution of water loss across the catchment. The results of this study have shown that evapotranspiration (ET) can be accurately estimated in arid environments from remotely sensed data, such as Moderate Resolution Imaging Spectroradiometer (MODIS) data, based on the Surface Energy Balance System (SEBS) algorithm. This study observed significant spatial and temporal variations in ET across the south western part of Zimbabwe. The findings from this study, therefore, underscore the importance of using cheap and readily available remotely sensed data for estimating and mapping the variations in ET in arid-environment areas found mainly in developing countries.
机译：在干旱环境中通过不同土地覆盖类型进行准确，可靠和持续了解水资源，对水利损失算法至关重要，以确保在不断变化的气候中确保可持续的水管理。遥感提供了一种利用的替代方案，用于映射和估计整个集水区的水损失的空间和时间分布。该研究的结果表明，基于表面能量平衡系统（SEBB）算法，可以从远程感测数据（例如中等分辨率成像光谱仪（MODIS）数据）中的干旱环境中精确地估计蒸发蒸腾（et）。本研究观察到津巴布韦南部南部ET的大量空间和时间变化。因此，从本研究中发现了使用廉价和容易获得的远程感知数据的重要性，以便估算和绘制主要在发展中国家的干旱环境领域的et等et的变化。

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