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首页> 外文会议>The 28th International Symposium on Remote Sensing of Environment, Mar 27-31, 2000, Cape Town, South Africa >Assessing the relationship between surface temperature and soil moisture in southern Africa
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Assessing the relationship between surface temperature and soil moisture in southern Africa

机译：评估南部非洲地表温度与土壤水分之间的关​​系

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Droughts have important implications for the natural and socio-economic environments of southern Africa. An understanding of the relationship between soil moisture content and vegetation condition is necessary to predict the impact of those events. In this paper we proposed a methodological approach for early drought prediction. We hypothesize that the amplitude of the diurnal temperature cycle of a vegetated surface can indicate soil moisture content We present a preliminary analysis of three months of soil moisture and temperature data collected at Skukuza, South Africa, a core test site of SAFARI 2000. The results support our basic hypothesis yet suggest that further work is required to better understand the coupling of these parameters. A common soil-vegetation-atmosphere transfer (SVAT) model will be adapted for this purpose.
机译：干旱对南部非洲的自然和社会经济环境具有重要影响。必须了解土壤水分含量与植被状况之间的关系，才能预测这些事件的影响。在本文中，我们提出了一种用于早期干旱预报的方法学方法。我们假设植被表面的昼夜温度周期的振幅可以指示土壤含水量。我们对在SAFARI 2000的核心测试地点南非Skukuza收集的三个月的土壤含水量和温度数据进行了初步分析。结果支持我们的基本假设，但建议需要做进一步的工作才能更好地理解这些参数的耦合。为此，将采用一种常见的土壤-植被-大气迁移（SVAT）模型。

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