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首页> 外文会议>ISPRS Congress >AN ORIGINAL PROCESSING METHOD OF SATELLITE ALTIMETRY FOR ESTIMATING WATER LEVELS AND VOLUME FLUCTUATIONS IN A SERIES OF SMALL LAKES OF THE PANTANAL WETLAND COMPLEX IN BRAZIL
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AN ORIGINAL PROCESSING METHOD OF SATELLITE ALTIMETRY FOR ESTIMATING WATER LEVELS AND VOLUME FLUCTUATIONS IN A SERIES OF SMALL LAKES OF THE PANTANAL WETLAND COMPLEX IN BRAZIL

机译：卫星高度测定的原始加工方法，用于估算巴西一系列小湖泊的水平和体积波动的水平和体积波动

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Satellite altimetry is becoming a major tool for measuring water levels in rivers and lakes offering accuracies compatible with many hydrological applications, especially in uninhabited regions of difficult access. The Pantanal is considered the largest tropical wetland in the world and the sparsity of in situ gauging station make remote methods of water level measurements an attractive alternative. This article describes how satellites altimetry data from Envisat and Saral was used to determine water level in two small lakes in the Pantanal. By combining the water level with the water surface area extracted from satellite imagery, water volume fluctuations were also estimated for a few periods. The available algorithms (retrackers) that compute a range solution from the raw waveforms do not always produce reliable measurements in small lakes. This is because the return signal gets often "contaminated" by the surrounding land. To try to solve this, we created a "lake" retracker that rejects waveforms that cannot be attributed to "calm water" and convert them to altitude. Elevation data are stored in a database along with the water surface area to compute the volume fluctuations. Satellite water level time series were also produced and compared with the only nearby in situ gauging station. Although the "lake" retracker worked well with calm water, the presence of waves and other factors was such that the standard "ice1" retracker performed better on the overall. We estimate our water level accuracy to be around 75 cm. Although the return time of both satellites is only 35 days, the next few years promise to bring new altimetry satellite missions that will significantly increase this frequency.
机译：卫星Altimetry正在成为测量河流和湖泊水位的主要工具，提供与许多水文应用兼容的准确性，特别是在无人居住的难以访问的区域中。潘塔纳尔被认为是世界上最大的热带湿地，原位测量站的稀疏性使得水位测量的远程方法是有吸引力的替代品。本文介绍了卫星从Envisat和Saral的高度测定数据如何用于确定爪子中的两个小湖泊中的水位。通过将水位与从卫星图像中提取的水面积相结合，还估计水量波动几个时期。从原始波形计算范围解的可用算法（Retrackers）并不总是在小湖泊中产生可靠的测量。这是因为返回信号经常被周围的土地经常“受污染”。为了尝试解决这个问题，我们创建了一个“湖泊”的行书，拒绝不能归因于“平静水”的波形并将它们转换为高度。高程数据与水面区域一起存储在数据库中以计算体积波动。还生产卫星水位时间序列，并与唯一的附近达图衡量站。虽然“Lake”的retracker用平静的水工作得很好，但是波浪和其他因素的存在使得标准的“ICE1”套路在整体上表现更好。我们估计我们的水位准确性约为75厘米。虽然两个卫星的返回时间仅为35天，但未来几年承诺带来新的高度卫星任务，将大大提高此频率。

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