China’s Mainland Shorelines Over 30 Years Using Landsat Time Series Data (1990-2019)

Continuous monitoring of shoreline dynamics is essential to understanding the drivers of shoreline changes and evolution. A long-term shoreline dataset can describe the dynamic changes in the spatio-temporal dimension and provide information on the influence of anthropogenic activities and natural factors on coastal areas. This study, conducted on the Google Earth Engine platform, generated a dataset of China’s shorelines, including those of Hainan and Taiwan, from 1990 to 2019 using long time series of Landsat TM/ETM+/OLI images. First, we constructed a time series of the Modified Normalized Difference Water Index (MNDWI) with high-quality reconstruction by the harmonic analysis of time series (HANTS) algorithm. Second, the Otsu algorithm was used to separate land and water of coastal areas based on MNDWI value at high tide levels. Finally, a 30-year shoreline dataset was generated. This study presents an innovative and up-to-date dataset and comprehensive information on the status of China’s shoreline from 1990 to 2019, contributing to related research and policy implementation, especially in support of sustainable development.

持续监测岸线动态，对于解析岸线变化的驱动因子与演化过程至关重要。长期岸线数据集能够刻画岸线在时空维度上的动态变化，并揭示人类活动与自然因子对沿海区域的影响机制。本研究依托谷歌地球引擎（Google Earth Engine）平台，基于长时间序列Landsat TM/ETM+/OLI遥感影像，构建了1990年至2019年涵盖海南岛与台湾岛在内的中国岸线数据集。首先，通过时间序列谐波分析（HANTS）算法对时序数据进行高质量重构，构建改进型归一化水体指数（MNDWI）时间序列；其次，基于高潮位下的MNDWI数值，采用大津（Otsu）算法实现沿海区域的水陆分离；最终生成了覆盖30年时长的岸线数据集。本研究提供了一套创新性且时效性较强的数据集，以及1990年至2019年中国岸线现状的详尽信息，可为相关研究与政策实施提供支撑，尤其可为可持续发展提供助力。

搜集汇总

背景与挑战

背景概述

该数据集提供了1990至2019年间中国海岸线的长期动态变化信息，包括海南和台湾地区，通过Landsat影像和先进算法生成，支持海岸线变化研究和可持续发展政策制定。