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A Simple Harmonic Model for FAPAR Temporal Dynamics in the Wetlands of the Volga-Akhtuba Floodplain

机译:伏尔加-阿赫图巴洪泛区湿地中FAPAR时间动态的简单谐波模型

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The paper reports a technique used to construct a reference time series for the fraction of absorbed photosynthetically-active radiation (FAPAR) based on remotely-sensed data in the largest Russian arid wetland territory. For the arid Volga-Akhtuba wetlands, FAPAR appears to be an informative spectral index for estimating plant cover health and its seasonal and annual dynamics. Since FAPAR algorithms are developed for multiple satellite sensors, all FAPAR-based models are suggested to be universal and useful for future studies and long-term monitoring of plant cover, particularly in wetlands. The model developed in the present work for FAPAR temporal dynamics clearly reflects the field-observed seasonal and annual changes of plant cover in the Volga-Akhtuba floodplain wetlands. Various types of wetland plant communities were categorized by the specific parameters of the model seasonal vegetation curve. In addition, the values derived from the model function allow quantitative estimation of wetland plant cover health. This information is particularly important for the Volga-Akhtuba floodplain, because its hydrological regime is regulated by the Volzhskaya hydropower plant. The ecosystem is extremely fragile and sensitive to human impact, and wetland plant cover health is a key indicator of regulatory efficiency. The present study is another step towards developing a methodology focused on arid wetland vegetation monitoring and conservation of its biodiversity and natural conditions.
机译:这篇论文报告了一种技术,该技术可根据俄罗斯最大的干旱湿地地区的遥感数据,为吸收的光合有效辐射(FAPAR)的比例构建参考时间序列。对于干旱的伏尔加-阿赫图巴湿地,FAPAR似乎是一个信息丰富的光谱指数,可用于估算植物覆盖健康状况及其季节和年度动态。由于FAPAR算法是为多个卫星传感器开发的,因此所有基于FAPAR的模型都具有通用性,可用于将来的研究和植物覆盖度的长期监测,尤其是在湿地中。在当前工作中为FAPAR时间动态建立的模型清楚地反映了伏尔加-阿赫图巴泛滥平原湿地的实地观察到的植物覆盖的季节和年度变化。根据模型的季节性植被曲线的特定参数对各种类型的湿地植物群落进行了分类。此外,从模型函数得出的值允许对湿地植物覆盖健康状况进行定量估计。该信息对于伏尔加-阿赫图巴泛滥平原特别重要,因为其水文状况受伏尔日斯卡亚水电站的监管。生态系统非常脆弱,对人类的影响十分敏感,而湿地植物的覆盖健康是监管效率的关键指标。本研究是开发一种方法的另一步骤,该方法侧重于干旱湿地植被监测及其生物多样性和自然条件的保护。

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