2026-10-14T23:22:47Z https://www.scidb.cn/oai

10.57760/sciencedb.16228 2024-08-30T11:41:35Z

2024-08-30 China’s Mainland Shorelines Over 30 Years Using Landsat Time Series Data (1990-2019) doi:10.57760/sciencedb.16228 en 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. Shoreline; Landsat imagery; Google Earth Engine; Spatio-temporal evolution; China Gang Yang Weiwei Sun Ke Huang Lin Zhu Chao Chen PUBLIC https://creativecommons.org/licenses/by/4.0/ dataset Science Data Bank