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Detection of Shoreline and Land Cover Changes around Rosetta Promontory, Egypt, Based on Remote Sensing Analysis

机译:基于遥感分析的埃及罗塞塔海角附近海岸线和土地覆盖变化检测

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Rosetta Promontory, Egypt has been suffering from a continuous erosion problem. The dramatic retreatment was observed during the last century. It is basically due to the construction of Aswan High Dam in 1964, which reduced the flow and sediment discharges. In this paper, four Landsat images (two Thematic Mapper and two Enhanced Thematic Mapper) covering the period from 1984 to 2014 were used. These Landsat images were radio-metrically and geometrically corrected, and then, multi-temporal post-classification analysis was performed to detect land cover changes, extracting shoreline positions to estimate shoreline change rates of the Nile delta coast around Rosetta Promontory. This method provides a viable means for examining long-term shoreline changes. Four categories, including seawater, developed (agriculture and urban), sabkhas (salt-flat), and undeveloped areas, were selected to evaluate their temporal changes by comparing the four selected images. Supervised classification technique was used with support vector machine algorithm to detect temporal changes. The overall accuracy assessment of this method ranged from 97% to 100%. In addition, the shoreline was extracted by applying two different techniques. The first method is based on a histogram threshold of Band 5, and the other uses the combination of histogram threshold of Band 5 and two band ratios (Band2/Band4 and Band2/Band5). For land cover change detection from 1984 to 2014, it was found that the developed area that increased by 9% although the land in the study area has been contracted by 1.6% due to coastal erosion. The shoreline retreat rate has decreased more than 70% from 1984 to 2014. Nevertheless, it still suffers from significant erosion with a maximum rate of 37 m/year. In comparison to ground survey and different remote sensing techniques, the established trend of shoreline change extracted using histogram threshold was found to be closely consistent with these studies rather than combining band ratio with histogram threshold.
机译:埃及罗塞塔岬(Rosetta Promontory)一直遭受着持续的侵蚀问题。在上个世纪观察到了戏剧性的治疗。这主要是由于1964年阿斯旺高坝的建造,从而减少了流量和泥沙排放。在本文中,使用了四个Landsat图像(两个主题映射器和两个增强主题映射器),覆盖了1984年至2014年的时间。对这些Landsat影像进行了辐射度和几何校正,然后进行了多时间后分类分析,以检测土地覆盖变化,提取海岸线位置,以估计Rosetta Promontory附近的尼罗河三角洲海岸的海岸线变化率。该方法为检查长期海岸线变化提供了一种可行的方法。通过比较四个选定的图像,选择了四个类别,包括海水,发达(农业和城市),sabkhas(盐滩)和不发达地区,以评估它们的时间变化。监督分类技术与支持向量机算法一起用于检测时间变化。此方法的总体准确性评估范围为97%至100%。此外,通过应用两种不同的技术提取了海岸线。第一种方法基于波段5的直方图阈值,另一种方法使用波段5的直方图阈值和两个波段比率(波段2 /波段4和波段2 /波段5)的组合。对于1984年至2014年的土地覆盖变化检测,发现尽管研究区的土地由于沿海侵蚀而收缩了1.6%,但发达地区却增长了9%。从1984年到2014年,海岸线的退缩率下降了70%以上。尽管如此,它仍然遭受着严重的侵蚀,最高退缩速度为37 m /年。与地面勘测和不同的遥感技术相比,发现使用直方图阈值提取的海岸线变化趋势与这些研究非常一致,而不是将谱带比与直方图阈值结合在一起。

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