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Shoreline change assessment using geospatial tools: a study on the Ganges deltaic coast of Bangladesh

机译:使用地理空间工具进行海岸线改变评估:孟加拉国恒河海岸的研究

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The Ganges deltaic coast of Bangladesh experiences an incessant movement over the time. Understanding the shoreline movement of this alluvial delta and a suitable method to calculate the rate of change poses a challenge for this highly dynamic coast having erosion and accretion. Using GIS and multi temporal LANDSAT images, the study investigated the positional change of the Ganges deltaic shoreline for the period of 1977-2017. LANDSAT images were radiometrically corrected and a spectral index i.e., normalized difference water index (NDWI) was applied to differentiate water and land features. A histogram based Otsu's Binary thresholding method along with image based visual interpretation was used to extract the shorelines. Net changes of shoreline position were statistically calculated using three different techniques, namely; End Point Rate (EPR), Linear Regression Rate (LRR) and Weighted Linear Regression (WLR). A comparison between the techniques was also made to choose and evaluate the suitable statistical technique to estimate the rate of shoreline change for this alluvial delta. Analyses showed that LRR technique had less positional uncertainty in compare to EPR and WLR, although at a particular transect the techniques were closely correlated. The EPR, WLR and LRR technique showed that the shoreline is experiencing landward movement (erosion) with an average rate of 0.62 m/yr, 0.96 m/yr and 0.27 m/yr respectively. Moreover, a high erosion rate of 5 m/yr at the mangrove forest area of the GDC is a great concern for the existence of the mangrove forest. During 1977-2017, an overall 6.29 sq. km land area has been lost although significant land depositions were observed at the river estuaries. This study revealed the spatiotemporal trend of shoreline position of the Ganges deltaic coast and that would be beneficial for the coastal management and planning of the region.
机译:孟加拉国的恒河海岸越来越多地体验不断的运动。了解这种冲积三角洲的海岸线运动和计算变革率的合适方法对这种高度动态的海岸产生了侵蚀和增生的挑战。使用GIS和多颞覆代山顶图像,研究调查了1977 - 2017年期间恒河红外海岸线的位置变化。 Landsat图像被放射测定校正,并且施加归一化差水指数(NDWI)被应用于区分水和土地特征。基于直方图的OTSU的二进制阈值方法以及基于图像的视觉解释来提取堆积。使用三种不同的技术进行统计计算海岸线位置的净变化,即;终点率(EPR),线性回归率(LRR)和加权线性回归(WLR)。还制作了技术之间的比较来选择和评估合适的统计技术来估计这种冲积三角洲的海岸线变化率。分析表明,与EPR和WLR相比,LRR技术的位置不确定度较少,尽管在特定的横向上,该技术密切相关。 EPR,WLR和LRR技术表明,海线正在经历陆地运动(侵蚀),平均速率分别为0.62m / Yr,0.96M / Yr和0.27米/毫升。此外,GDC的红树林面积的高侵蚀率为5米/年,对红树林的存在是一个很好的关注。在1977 - 2017年,总体而言,6.29平方米的平方米已经丢失,尽管在河流河道上观察到了大量的土地沉积。本研究揭示了恒河海岸海岸线地位的时空趋势,这对该地区的沿海管理和规划有利。

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