Satellite-based Bathymetry Supported by Extracted Coastlines

IF 2.1 4区 地球科学 Q3 IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY
Hakan Uzakara, Nusret Demir, Serkan Karakış
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Abstract

Bathymetry is the measurement of ocean depths using a variety of techniques. Available techniques include sonar systems, light detection and ranging (LIDAR), and remote sensing systems. Acoustic systems, also known as LIDAR, are inefficient in terms of both time and money. This study applied remote sensing techniques to reduce both time and cost. The objective of this study is to use freely accessible Sentinel‑2 multispectral images to extract the depth information. Temporal variation was minimized by comparing the histograms of satellite images obtained over four consecutive months. The sea topography is determined using regression analysis, utilizing samples from reference data. The reference data is adjusted with the changes in shorelines, as the alteration of shorelines serves as a parameter for these modifications. Using the regression coefficients, analyses were conducted in regions with undetermined depths. The bathymetry maps were evaluated against a reference dataset and improved by incorporating shorelines. The analyses were carried out individually over four months, and the derived bathymetric data showed significant monthly average and monthly shoreline changes. The employed methodology offers an alternative approach for bathymetry studies that require temporal resolution when the available reference bathymetric data is insufficient.

Abstract Image

以提取的海岸线为支持的卫星测深法
测深是利用各种技术测量海洋深度。现有技术包括声纳系统、光探测和测距(激光雷达)以及遥感系统。声学系统(也称为激光雷达)在时间和资金方面都效率低下。本研究采用遥感技术来减少时间和成本。本研究的目的是利用可免费获取的哨兵-2 多光谱图像来提取深度信息。通过比较连续四个月获得的卫星图像直方图,将时间变化降至最低。利用参考数据的样本,通过回归分析确定海洋地形。参考数据根据海岸线的变化进行调整,因为海岸线的变化是这些变化的参数。利用回归系数,对深度未定的区域进行分析。根据参考数据集对水深测量图进行了评估,并通过纳入海岸线进行了改进。分析分别在四个月内进行,得出的水深数据显示出显著的月平均值和月海岸线变化。在现有参考测深数据不足的情况下,所采用的方法为需要时间分辨率的测深研究提供了另一种方法。
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来源期刊
CiteScore
8.20
自引率
2.40%
发文量
38
期刊介绍: PFG is an international scholarly journal covering the progress and application of photogrammetric methods, remote sensing technology and the interconnected field of geoinformation science. It places special editorial emphasis on the communication of new methodologies in data acquisition and new approaches to optimized processing and interpretation of all types of data which were acquired by photogrammetric methods, remote sensing, image processing and the computer-aided interpretation of such data in general. The journal hence addresses both researchers and students of these disciplines at academic institutions and universities as well as the downstream users in both the private sector and public administration. Founded in 1926 under the former name Bildmessung und Luftbildwesen, PFG is worldwide the oldest journal on photogrammetry. It is the official journal of the German Society for Photogrammetry, Remote Sensing and Geoinformation (DGPF).
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