EOMAP_20220329.0835 Cocos (Keeling) Marine Park Satellite-Derived Bathymetry Acquisition (20220020S)

Parks Australia - Indian Oceans Territory (IOT) Grants Project: Satellite-Derived Bathymetry and Seafloor Habitat Classification Mapping of Cocos (Keeling) Island Marine Park This project mapped Satellite-derived Bathymetry (SDB) and seafloor habitats at 2m horizontal spatial resolution, for the shallow waters (~0-25 m) of the Cocos (Keeling) Islands Marine Park. SDB data was processed using EOMAP's proprietary software and algorithm package Watcor-X, which generates SDB using multi-spectral satellite data. The SDB is based on the physics-based inversion method of the radiative transfer equation which models the pathway of light and its interaction through different media (e.g. atmosphere and water column). The thematic classification of the seabed was based on multispectral satellite image analytics. Satellite imagery was pre-processed by applying a set of image correction procedures to reduce environmental noise, resulting in a standardised reflectance surface of the subsurface and seafloor. The information on seafloor reflectance at different wavelengths was used to run an object-based classification procedure which groups objects of similar spectral characteristics, shape and texture into different classes of major seafloor habitat type. These critical geospatial data layers provide the essential environmental baseline information for the long-term monitoring and management of the IOT Marine Parks. Having access to digital, georeferenced, high-resolution, satellite-derived maps of bathymetry and benthic habitats of shallow water areas, is of fundamental use in the areas of navigation and safety-at-sea, ecological research, environmental modelling, management and conservation, and monitoring the impacts from climate change. This dataset is not to be used for navigational purposes.

澳大利亚公园管理局——印度洋领地（Indian Oceans Territory，简称IOT）资助项目：科科斯（基林）群岛海洋公园卫星反演水深与海底栖息地分类制图
本项目针对科科斯（基林）群岛海洋公园的浅水区（约0~25米），以2米的水平空间分辨率完成了卫星反演水深（Satellite-derived Bathymetry，简称SDB）与海底栖息地的制图工作。SDB数据采用EOMAP公司专属软件与算法包Watcor-X进行处理，该工具包可利用多光谱卫星数据生成SDB产品。SDB基于辐射传输方程的物理反演方法构建，该方法可模拟光线在大气层、水柱等不同介质中的传播路径及其相互作用。
海底主题分类基于多光谱卫星图像分析技术实现。卫星影像先经一系列图像校正流程预处理以降低环境噪声干扰，最终得到标准化的次表层与海底反射率表面数据。研究人员利用不同波长下的海底反射率信息，执行基于对象的分类流程：将具有相似光谱特征、形状与纹理的对象归为不同的主要海底栖息地类型。
上述关键地理空间数据图层，可为印度洋领地海洋公园的长期监测与管理提供核心环境基线信息。获取浅水区卫星反演水深与底栖栖息地的数字化地理参考高分辨率地图，可在航海与海上安全、生态研究、环境模拟、管理与保护以及气候变化影响监测等领域发挥基础性作用。
本数据集不得用于航海导航用途。