Assessment of Empirical Near-Shore Bathymetry Model Using New Emerged PlanetScope Instrument and Sentinel-2 Data in Coastal Shallow Waters

Q4 Social Sciences International Journal of Geoinformatics Pub Date : 2024-03-01 DOI:10.52939/ijg.v20i2.3071
N. Khakhim, Kurniawan
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Abstract

Shallow water bathymetric information is important for human life because it has a strong influence on phenomena and dynamics in coastal areas. Conventional bathymetric mapping methods are capable of obtaining high-precision accuracy, but require expensive and complex resources. Specifically, in shallow waters, survey instruments have difficulty obtaining adequate depth data due to the many obstacles that must be overcome. Remote sensing-based shallow water bathymetry called as Satellite-Derived Bathymetry (SDB) is a reasonable and efficient choice. Technological developments enable SDB data processing to be much more efficient in terms of time and storage by utilizing cloud-based platforms such as Google Earth Engine (GEE). Spatial and temporal resolution is still a challenge in SDB, so in this condition PlanetScope with daily temporal resolution capabilities is an optimistic choice. However, this image falls into a relatively new image category. In this study we tested the performance of Sentinel-2A imagery and new PlanetScope imagery bands. The existence of the new sensor owned by PlanetScope allows an increased choice of SDB data sources with high spatial and temporal resolution that is better than the general datasets currently available. There are four additional channels are Coastal Blue, Green I, Yellow, and Red Edge. Assessment is needed to test the capabilities of each new channel using empirical methods via the Stumpf algorithm. Based on accuracy assessment observations, the Sentinel-2A channel combination is still better in terms of accuracy and determination, because it is able to represent the depth in the study area up to 70%. The potential use of PlanetScope's new channels for SDB applications can still be seen in the combination of the Coastal Blue and Yellow channels. This channel combination is still able to represent 47% of the depth variations in the study area.
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利用新出现的 PlanetScope 仪器和 Sentinel-2 数据评估沿海浅水区的经验性近岸测深模型
浅水测深信息对人类生活非常重要,因为它对沿海地区的现象和动态有很大影响。传统的测深绘图方法能够获得高精度,但需要昂贵而复杂的资源。特别是在浅水区,由于必须克服许多障碍,测量仪器难以获得足够的深度数据。基于遥感技术的浅水测深法被称为卫星衍生测深法(Satellite-Derived Bathymetry,SDB),是一种合理而有效的选择。技术的发展使 SDB 数据处理在时间和存储方面的效率大大提高,可利用基于云的平台,如谷歌地球引擎(GEE)。空间和时间分辨率仍然是 SDB 的一个挑战,因此在这种情况下,具有日时间分辨率功能的 PlanetScope 是一个乐观的选择。不过,这种图像属于相对较新的图像类别。在这项研究中,我们测试了哨兵-2A 图像和新的 PlanetScope 图像波段的性能。PlanetScope 所拥有的新传感器的存在,使我们有了更多的 SDB 数据源选择,其空间和时间分辨率都很高,优于目前可用的一般数据集。另外还有四个通道,即海岸蓝、绿 I、黄和红边。需要进行评估,通过 Stumpf 算法使用经验方法测试每个新通道的能力。根据精度评估观测结果,哨兵-2A 的信道组合在精度和确定性方面仍然更胜一筹,因为它能够将研究区域的深度表示到 70%。PlanetScope 的新信道在 SDB 应用中的潜在用途仍可从海岸蓝信道和黄信道的组合中看出。这一通道组合仍能代表研究区域 47% 的深度变化。
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来源期刊
International Journal of Geoinformatics
International Journal of Geoinformatics Social Sciences-Geography, Planning and Development
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