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Morphological characterization of ponds and tidal courses in coastal wetlands using Google Earth imagery
Estuarine, Coastal and Shelf Science ( IF 2.6 ) Pub Date : 2020-10-11 , DOI: 10.1016/j.ecss.2020.107041
G. Noelia Revollo Sarmiento , Natalia V. Revollo Sarmiento , Claudio A. Delrieux , Gerardo M.E. Perillo

Ponds and tidal courses are significant landforms that frequently arise in marshes and tidal flats environments. An understanding of their development and permanence is relevant to determine future dynamic processes that alter tidal flats and salt marshes environments, such as changes in the sea level, increase in the wave activity, and some other variations associated to the climate change. Direct access for monitoring in these regions is complex, extremely expensive and not always feasible. Remote sensing imagery represents a monitoring alternative, but requires the research of specific image processing procedures to extract the information concerning to these environmental studies. In this work, we developed a methodology for assessing the relevant morphological parameters of ponds and tidal courses using Google Earth imagery. An automatic classifier identifies these landforms as such (accuracy over 86%), producing a shape descriptors dataset. Then, ponds and tidal courses in tidal flats are morphologically characterized, and their behavior is compared to the surrounding environment. Subsequent analysis found significant differences in morphological characteristics that arise independently of the marsh environmental conditions. The evidence suggests that the evolution processes of the depressions in salt flat environments are clearly different in comparison with salt marshes environments. In salt marshes, the permanence and evolution of the depressions is related to the age of marshes, whereas in tidal flats the dynamic processes and sediment input have influence on depressions evolution.



中文翻译:

使用Google Earth图像表征沿海湿地池塘和潮汐路线的形态

池塘和潮汐道是重要的地貌,经常出现在沼泽和潮滩环境中。对它们的发展和持久性的了解与确定将来改变潮滩和盐沼​​环境的动态过程有关,例如海平面的变化,海浪活动的增加以及与气候变化相关的其他一些变化。在这些区域中进行监视的直接访问非常复杂,非常昂贵,而且并不总是可行的。遥感影像是一种监测替代方案,但需要研究特定的影像处理程序以提取与这些环境研究有关的信息。在这项工作中,我们开发了一种使用Google Earth影像评估池塘和潮汐道的相关形态参数的方法。自动分类器可以识别这些地形(精度超过86%),从而生成形状描述符数据集。然后,对滩涂中的池塘和潮汐进行形态学表征,并将其行为与周围环境进行比较。随后的分析发现形态特征的显着差异与沼泽环境条件无关。有证据表明,与盐沼环境相比,盐滩环境中凹陷的演化过程明显不同。在盐沼中,洼地的持久性和演化与沼泽的年龄有关,而在潮滩中,动力过程和沉积物输入对洼地的演化有影响。生成形状描述符数据集。然后,对滩涂中的池塘和潮汐进行形态学表征,并将其行为与周围环境进行比较。随后的分析发现形态特征的显着差异与沼泽环境条件无关。有证据表明,与盐沼环境相比,盐滩环境中凹陷的演化过程明显不同。在盐沼中,洼地的持久性和演化与沼泽的年龄有关,而在潮滩中,动力过程和沉积物输入对洼地的演化有影响。生成形状描述符数据集。然后,对滩涂中的池塘和潮汐进行形态学表征,并将其行为与周围环境进行比较。随后的分析发现形态特征的显着差异与沼泽环境条件无关。有证据表明,与盐沼环境相比,盐滩环境中凹陷的演化过程明显不同。在盐沼中,洼地的持久性和演化与沼泽的年龄有关,而在潮滩中,动力过程和沉积物输入对洼地的演化有影响。随后的分析发现形态特征的显着差异与沼泽环境条件无关。有证据表明,与盐沼环境相比,盐滩环境中凹陷的演化过程明显不同。在盐沼中,洼地的持久性和演化与沼泽的年龄有关,而在潮滩中,动力过程和沉积物输入对洼地的演化有影响。随后的分析发现形态特征的显着差异与沼泽环境条件无关。有证据表明,与盐沼环境相比,盐滩环境中凹陷的演化过程明显不同。在盐沼中,洼地的持久性和演化与沼泽的年龄有关,而在潮滩中,动力过程和沉积物输入对洼地的演化有影响。

更新日期:2020-10-30
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