COASTLINE CHANGES DETECTION USING SENTINEL-1 SATELLITE IMAGERY IN SURABAYA, EAST JAVA, INDONESIA
COASTLINE CHANGES DETECTION USING SENTINEL-1 SATELLITE IMAGERY IN SURABAYA, EAST JAVA, INDONESIA
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使用 Sentinel-1 卫星图像检测印度尼西亚东爪哇省泗水的海岸线变化
DOI：
10.12962/j24423998.v11i2.1265
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发表时间：
2016
期刊：
影响因子：
--
通讯作者：
N. Hayati
中科院分区：
文献类型：
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作者：
F. Bioresita;N. Hayati
地球表面最重要的线性特征之一是海岸线。海岸带及其环境管理需要海岸线及其变化的信息，海岸线具有动态性。泗水沿海地区的沉积作用最为显著。这是由于该地区存在几条大型河流，这给河口带来了沉积物。此外，横跨马都拉海峡，连接爪哇和马都拉群岛的苏拉马杜大桥的发展为苏拉马杜大桥周围地区成为东爪哇的工业活动区域提供了机会。由于自然因素或人类活动引起的海岸线变化和陆地面积的广泛变化，对Suramadu大桥周围发生的物理变化，特别是邦卡兰、Madura的南部沿海地区和Surabaya的北部沿海地区的物理变化产生相当大的影响。Sentinel-1是Sentinels技术之一，是一种极地轨道、全天候、昼夜的雷达成像使命，在C波段为陆地和海洋服务。这幅图像不受天气条件或黑暗的限制，可以有效地将陆地和水体分开。空间分辨率高、时间频率高的哨兵-1号图像的可用性有助于监测海岸线的变化。本文的目的是分析哨兵-1影像划定海岸线及其变化的能力。通过选择Sentinel-1中提取的最佳参数和设置水陆分离阈值，可以检测海岸线的变化。并对处理后的图像进行了多时间域的叠加。研究结果表明，VH极化的σ-0是最佳的水陆分离参数，其阈值的确定是根据σ-0的分布值。但由于每月监测一次，部分Sentinel-1影像的海岸线变化检测结果差异不大。
One of the most important linear features on the earth’s surface is coastline. Coastal zone and its environmental management require the information about coastlines and their changes, which display a dynamic nature. The coastal area of Surabaya has the most dominant sedimentation. This is due to the presence of several large rivers flow in the area, which brings sediment to the estuary. In addition, the development of Suramadu bridge that across Madura strait, connecting Java and Madura islands, has opened an opportunity for the areas around the Suramadu Bridge to be the region of industry activities in East Java. It can give sizeable influence for the physical change that happens around the Suramadu Bridge in particular south coastal area of Bangkalan, Madura and north coastal area of Surabaya as the change of coastline and the wide change of land area caused by natural factor or human activities. Sentinel-1 is one of a Sentinels technology which is a polar-orbiting, all-weather, day-and-night radar imaging mission for land and ocean services at C-band. This image is not limited by weather conditions or darkness and effective to separate land and water objects. The availability of Sentinel-1 images that have high spatial resolution and high temporal frequency, facilitate the monitoring of coastline changes. The aim of this paper was to analyze the ability of Sentinel-1 imagery to delineate coastline and their changes. Detection of the coastline changes can be done by choosing the best extracted parameter from Sentinel-1 and by setting threshold for land and water separations. Furthermore, the results of processed images were overlayed based on multi temporal. From this research, it could be expected that sigma-nought from VH polarization is the best parameter for the land and water separations which threshold determination is according to the distribution values of sigma-nought. However, there are no big differences of coastline changes viewed by changes detection in some Sentinel-1 images since the monitoring was carried out every month.