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COMBINATION OF ENVISAT, CRYOSAT-2 AND SARAL/ALTIKA MEASUREMENTS FOR ESTIMATING WATER LEVEL VARIATIONS OF LAKES

机译:Envisat,Cryosat-2和Saral / Altika测量的组合,用于估算湖泊的水位变化

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The estimation of lake water level variations with satellite altimetry is a challenging task because the majority of altimeter waveforms of smaller lakes are contaminated by land. The main goal of this study is the determination of improved long-term water level time series of lakes by combining Envisat, CryoSat-2 and SARAL/AltiKa altimeter measurements in an optimal way. While Envisat and SARAL/AltiKa carry classical pulse-limited radar altimeters on board, CryoSat-2 carries a Delay-Doppler/SAR altimeter on board which allows to exploit the full Doppler bandwidth. Depending on the observation technique and surface conditions the altimeter waveforms vary from specular over land to multi peaks at the land/water transition and brown-like in the center of the lake. In a first step, we develop a new processing strategy for CryoSat-2 SAR data over lakes based on waveform classification, waveform retracking and outlier rejection. The results are validated with water level time series derived from classical altimeter missions and in-situ gauging data. For more detailed information please read the upcoming publication [1]. These new findings can be adopted to the new Sentinel-3 products.
机译:利用卫星高度测定湖水水平变化的估计是一个具有挑战性的任务,因为较小湖泊的大多数高度幅度的波形被土地污染。本研究的主要目标是通过以最佳方式组合Envisat,Cryosat-2和Saral / Altika高度计测量来确定改进的长期水位时间序列湖泊。虽然Envisat和Saral / Altika携带古典脉冲限制雷达高度计,但Cryosat-2携带延迟多普勒/ SAR高度计,允许利用全多普勒带宽。取决于观察技术和表面条件,高度计波形从镜面上的镜面变化,在湖中央的陆地/水过渡和棕色的多峰。在第一步中,我们在基于波形分类,波形回归和异常值抑制的基于湖泊的Cryosat-2 SAR数据的新处理策略。结果验证了源自经典高度​​特派团和原位测量数据的水位时间序列。有关更多详细信息,请阅读即将推出的出版物[1]。这些新发现可用于新的哨兵-3产品。

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