Development of island-specific land-use classification system and spatiotemporal pattern evolution analysis using Landsat time series for coastal zone management: A case study of Zhoushan Archipelago, China

作者：Taohua Ren, Chao Chen, Zhisong Liu, Jianwan Ji, Weiwei Sun, Gang Yang · 发表于：Ecological Indicators · 年份：2025 · DOI：10.1016/j.ecolind.2025.114158 · 被引用次数：6 · 研究领域：Remote Sensing and Land Use、Land Use and Ecosystem Services、Environmental Changes in China

As a special geographical unit, islands serve as important platforms for expanding the blue economy. Existing land-use classification systems predominantly target terrestrial areas and often lack consideration of complex marine environments and periodic tidal effects on islands, which lead to insufficient applicability and lower precision in information extraction. To address these issues, this study adopted a land-sea coupling perspective and the long-term temporal analysis. By comprehensively consideration the unique characteristics of geographical environments and land-use modes, a hierarchical land-use classification framework was developed specifically for island environments through systematic integration of spectral, temporal, and geomorphological features derived from medium-resolution satellite imagery. Then, land use information was extracted by integrating multi-feature parameters and employing the Random Forest Algorithm (RFA), followed by an exploration on the spatiotemporal dynamics of it. The research results of Zhoushan Archipelago show that: (1) The developed classification system effectively consider the influences of periodic tidal inundation and land-sea interactions, more accurately reflecting the natural resource endowments and land-use patterns of island areas. (2) Integrating multi-feature parameters, the RFA demonstrated strong performance in land-use information extraction from remote sensing data of the Zhoushan Archipelago between 1985 and 2024, ac...