Monitoring volumetric fluctuations in tropical lakes and reservoirs using satellite remote sensing
Monitoring volumetric fluctuations in tropical lakes and reservoirs using satellite remote sensing
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DOI：
10.1080/10402381.2017.1402226
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发表时间：
2018-01-01
影响因子：
1.5
通讯作者：
Scott, Durelle T.
中科院分区：
文献类型：
--
作者：
Keys, Tyler A.;Scott, Durelle T.
凯斯 TA，斯科特 DT。 2017。利用卫星遥感监测热带湖泊和水库的体积波动。湖保护区管理。 34:154166.湖泊和水库的可持续管理目前是世界上水文数据和监测设备有限的地区面临的一项重大挑战。具体而言，蓄水量的时间变化很难量化，并且在湖泊和水库管理中经常被忽视。在这里，我们提出了一种高时间分辨率遥感技术，无需任何现场数据即可量化地表水体的体积波动。在本研究中，我们利用中分辨率成像光谱辐射计 (MODIS) 卫星图像与 2 个测高数据库中的卫星雷达测高相结合，开发 10 个大型热带地表水体的存储变化的高频时间序列。对于其中 3 个站点，基于高度测量的水位 (L) 估计值通过监测站的现场数据进行了验证，而表面积 (A) 和水量变化 (V) 的估计值则通过具有相应 LA 和 LV 多项式关系的测深图进行了验证。结果表明，对于 3 个水体中的 2 个，遥感 V 估计值与现场测量值非常吻合。对于第三个，由于 MODIS 的粗略空间分辨率，A 和 V 估计值被大大低估。我们的研究结果表明，与具有树枝状几何形状和高 S:A 比率的水库相比，所提出的方法适用于边界明确且海岸线与表面积 (S:A) 比率较低的湖泊和水库。总体而言，该方法为湖泊和水库的监测和管理提供了一个免费的、用户友好的平台。
Keys TA, Scott DT. 2017. Monitoring volumetric fluctuations in tropical lakes and reservoirs using satellite remote sensing. Lake Reserv Manage. 34:154166.Sustainable management of lakes and reservoirs is currently a major challenge in regions of the world with limited hydrologic data and monitoring equipment. Specifically, temporal variability of water storage is difficult to quantify and is often neglected in lake and reservoir management. Here, we present a high temporal resolution remote sensing technique for quantifying volumetric fluctuations in surface water bodies without any field data. For this study, we utilized Moderate Resolution Imaging Spectroradiometer (MODIS) satellite imagery in conjunction with satellite radar altimetry from 2 altimetry databases to develop high frequency time series of storage variations in 10 large tropical surface water bodies. For 3 of the sites, altimetry-based water level (L) estimates were validated by in situ data from monitoring stations while estimates of surface area (A) and changes in water volume (V) were validated by bathymetric maps with corresponding LA and LV polynomial relationships. Results indicate that remotely sensed V estimates agree well with in situ measurements for 2 of the 3 water bodies. For the third, A and V estimates were greatly underestimated due to the coarse spatial resolution of MODIS. Our findings suggest that the presented methodology works well for lakes and reservoirs with well-defined boundaries and low shoreline to surface area (S:A) ratios, in contrast to reservoirs with dendritic geometry and high S:A ratios. Overall, this method provides a free, user-friendly platform for monitoring and managing lakes and reservoirs.