Developing a desertification assessment system using a photosynthesis model with asimillated multi satellite data
Developing a desertification assessment system using a photosynthesis model with asimillated multi satellite data
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发表时间：
2010
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通讯作者：
D. Kaneko;P. Yang;N. Chang;T. Kumakura
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作者：
D. Kaneko;P. Yang;N. Chang;T. Kumakura
本文旨在提出一种综合方法，一方面评估欧亚大陆横跨中亚和中国北部的沙漠化过程，另一方面发现可能的沙尘暴来源位置。建立了沙漠化遥感环境监测评价系统（DAS）。基于植被类型的光合速率（PSN）、基于气象再分析数据的水分胁迫条件和基于植被指数的土地利用/土地覆被分类，该综合传感、监测和建模系统由三个子系统组成。利用多传感器卫星数据提取的归一化植被指数（NDVI）异常有助于识别中国北方地区强沙尘暴发生的可能位置，并将光合速率与沙漠化趋势联系起来。为了确保紧密联系，利用FLUXNET在全球尺度上收集的观测塔数据对计算的日光合速率进行了校准和验证。在我们的案例研究中，PSN模型倾向于高估光合作用的峰值速率。然而，这种做法清楚地证实了从蒙古西北部到黄土高原毛乌素沙漠和内蒙古自治区东部的土地退化在过去十年中保持不变，形成了几个沙尘暴源区热点。*通讯作者。
This paper aims to present an integrated approach for assessing the desertification processes on one hand and spot possible source locations of dust storm in Eurasian continent across the central Asia and northern China on the other hand. The authors have bu ilt Remote Sensing Environmental Monitor (RSEM) for Desertification Assessment System (DAS). Such an integrated sensing, monitoring and modeling system consists of three subsystems taking into account photosynthesis rate (PSN) based on vegetation types, water stress conditions based on the meteorological re-analysis data, and land-use/land-cover classification based on vegetation index. Eextracted normalized difference vegetation index (NDVI) anomaly helps identify the possible locations of severe dust storms linking daily photosynthesis rate with observed desertification trend in northern China with the aid of multi-sensor satellite data. To ensure the firm linkage, daily photosynthesis rate calculated were calibrated and validated by the observed tower data collected by FLUXNET at the global scale. The PSN model tends to overestimate the peak photosynthesis rate a little bit in our case study. Nevertheless, such a practice clearly confirms that land degradation in the areas from northwestern Mongolia to Mu Us desert in the Loess Plateau, and to eastern part of Inner Mongolia Autonomous Region remains the same in the past decade creating several hot spots of source locations of dust storms. * Corresponding author.