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
Taohua Ren , Chao Chen , Zhisong Liu , Jianwan Ji , Weiwei Sun , Gang Yang
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引用次数: 0
Abstract
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, achieving an average overall accuracy (OA) of 93.56 % and a Kappa coefficient of 0.93. (3) The total land area of Zhoushan Archipelago exhibited a sustained expansion from 1,274.42 km2 in 1985 to 1,456.57 km2 in 2024. Urbanization triggered dramatic expansion of construction land, increasing from 47.62 km2 to 426.50 km2 (8.95 times). (4) Due to industrial transformation, the salt pans area declined by as much as 94.88 %. Driven by the fishery economy, aquaculture ponds areas experienced substantial expansion, from 8.08 km2 to 35.09 km2, an increase of 4.34 times. Coastal reclamation primarily originates from shallow marine waters and bare intertidal flats, and the newly reclaimed land mainly allocated for construction land (119.12 km2), cropland/grassland (29.04 km2) and aquaculture ponds (17.66 km2). (5) Landscape indices analysis indicated that, the Zhoushan Archipelago has undergone intensified landscape fragmentation, enhanced diversity, and decreased connectivity, although these trends have eased in recent years. This study can offer valuable guidance for the sustainable development and in-depth research of island land use.
期刊介绍:
The ultimate aim of Ecological Indicators is to integrate the monitoring and assessment of ecological and environmental indicators with management practices. The journal provides a forum for the discussion of the applied scientific development and review of traditional indicator approaches as well as for theoretical, modelling and quantitative applications such as index development. Research into the following areas will be published.
• All aspects of ecological and environmental indicators and indices.
• New indicators, and new approaches and methods for indicator development, testing and use.
• Development and modelling of indices, e.g. application of indicator suites across multiple scales and resources.
• Analysis and research of resource, system- and scale-specific indicators.
• Methods for integration of social and other valuation metrics for the production of scientifically rigorous and politically-relevant assessments using indicator-based monitoring and assessment programs.
• How research indicators can be transformed into direct application for management purposes.
• Broader assessment objectives and methods, e.g. biodiversity, biological integrity, and sustainability, through the use of indicators.
• Resource-specific indicators such as landscape, agroecosystems, forests, wetlands, etc.