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An Approach for Estimating Border Length in Marine Coasts From MODIS Data

机译：从MODIS数据估算海岸边界长度的方法

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摘要

The development of data approximation methods from coarse spatial resolution images is gaining increasing interest in the research community. This letter aims to extend and validate a developed methodology for estimating border length of diverse marine coastlines from coarse spatial resolution images like Moderate Resolution Imaging Spectrometer (MODIS) by using fractal attributes and its error behavior. The accuracy of MODIS-based estimates and the reliability of the method to predict coastline length measurements by extrapolation was evaluated using Landsat 8 over different coastline types. It is shown that with our method, 250-m MODIS images are adequate for estimating coastline lengths with a precision equivalent to standard linear measurements performed on 30-m resolution imagery, with average errors between 3 and 18 for straight and complex coasts, respectively. These results indicate that an underestimation error, occurring in rugged and complex coasts, is more frequent and significant than overestimation occurring in smooth and straight coasts.
机译：来自粗糙空间分辨率图像的数据近似方法的发展正在增加研究界的兴趣。这封信旨在通过使用分形属性及其错误行为来扩展和验证从粗糙的空间分辨率图像估算各种海岸线的边界长度的开发方法。使用Landsat 8在不同的海岸线类型上评估了基于MODIS的估计和方法的可靠性来预测通过外推通过推断进行的可靠性。结果表明，利用我们的方法，250米的MODIS图像足以估计基海岸线长度，其精度等于在30米分辨率图像上执行的标准线性测量值，分别为直线和复杂的海岸的平均误差。这些结果表明，在崎岖和复杂的海岸中发生低估误差，比在光滑和直沿海岸上发生的高估更频繁和显着。

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