A global high resolution coastline database from satellite imagery (2009 - 2023)

### Access

Full dataset can be accessed and downloaded from the directory via: [https://arcticdata.io/data/10.18739/A2610VT7V/](https://arcticdata.io/data/10.18739/A2610VT7V/).

### Overview

This research is motivated by the limited resolution of existing global coastline datasets and the growing availability of high-resolution multispectral satellite imagery. We retrieve coastlines using a water probability algorithm, which stacks water masks generated from the Normalized Difference Water Index (NDWI) method. This dataset provides global coastlines, water probability maps, and intertidal zones derived from multispectral images captured by Maxar satellites (2009–2023) at a high spatial resolution of 2 meters (m). Coastlines represent the median tidal height of image acquisitions, with modeled tidal heights included. The intertidal zones derived from water probability maps represent dynamic regions sensitive to tidal variations. These high-resolution products support applications in coastal resource management, sea level rise analysis, and coastal habitat loss and migration.

### 数据获取
完整数据集可通过以下目录链接访问并下载：[https://arcticdata.io/data/10.18739/A2610VT7V/](https://arcticdata.io/data/10.18739/A2610VT7V/)

### 数据集概览
本研究的研究动机源于现有全球海岸线数据集分辨率有限，且高分辨率多光谱卫星影像的可获取性不断提升。研究采用水体概率算法提取海岸线：该算法通过堆叠归一化差异水体指数（Normalized Difference Water Index, NDWI）方法生成的水体掩膜完成提取。本数据集包含由Maxar卫星于2009年至2023年间捕获的2米高空间分辨率多光谱影像衍生得到的全球海岸线、水体概率图以及潮间带区域。其中，海岸线对应影像采集时刻的潮汐中值高度，并附带建模得到的潮汐高度数据。由水体概率图衍生得到的潮间带区域为对潮汐变化敏感的动态区域。这套高分辨率成果可应用于海岸资源管理、海平面上升分析以及海岸生境流失与迁移等场景。

搜集汇总

背景与挑战

背景概述

该数据集提供了2009至2023年间全球高分辨率(2米)海岸线、水体概率图和潮间带数据，通过Maxar卫星多光谱图像和NDWI方法生成，适用于海岸资源管理和海平面变化研究。