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Analysis and Prediction of Changes in Coastline Morphology in the Bohai Sea, China, Using Remote Sensing

机译:遥感渤海海岸线形态变化的分析与预测

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Coastline change reflects the dynamics of natural processes and human activity, and influences the ecology and environment of the coastal strip. This study researched the change in coastline and sea area of the Bohai Sea, China, over a 30-year period using Landsat TM and OLI remote sensing data. The total change in coastline length, sea area, and the centroid of the sea surface were quantified. Variations in the coastline morphology were measured using four shape indexes: fractal dimension, compact ratio, circularity, and square degree. Equations describing fit of the shape index, coastline length, and marine area were built. Then the marine area 10 years later was predicted using the model that had the highest prediction accuracy. The results showed that the highest prediction accuracy for the coastline length was obtained using a compound function. When a cubic function was used to predict the compact ratio, then the highest prediction accuracy was obtained using this compact ratio and a quadratic function to predict sea area. This study can provide theoretical support for the coastal development planning and ecological environment protection around the Bohai Sea.
机译:海岸线改变反映了自然过程和人类活动的动态,影响了沿海条带的生态环境。本研究研究了中国渤海海岸线和海域地区的变化,超过了使用Landsat TM和Oli遥感数据的30年期。海岸线长度,海域和海面质心的总变化量。使用四个形状指标测量海岸线形态的变化:分形尺寸,比率,圆形度和平方度。建造了描述形状指数,海岸线长度和海域的适当的方程。然后使用具有最高预测精度的模型来预测10年后的海洋区域。结果表明,使用复合功能获得了海岸线长度的最高预测精度。当使用立方体函数来预测紧凑的比率时,使用这种紧凑的比率获得最高预测精度和预测海域的二次函数。本研究可以为渤海沿海开发规划和生态环境保护提供理论支持。

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