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

IF 7 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES
Taohua Ren , Chao Chen , Zhisong Liu , Jianwan Ji , Weiwei Sun , Gang Yang
{"title":"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","authors":"Taohua Ren ,&nbsp;Chao Chen ,&nbsp;Zhisong Liu ,&nbsp;Jianwan Ji ,&nbsp;Weiwei Sun ,&nbsp;Gang Yang","doi":"10.1016/j.ecolind.2025.114158","DOIUrl":null,"url":null,"abstract":"<div><div>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 km<sup>2</sup> in 1985 to 1,456.57 km<sup>2</sup> in 2024. Urbanization triggered dramatic expansion of construction land, increasing from 47.62 km<sup>2</sup> to 426.50 km<sup>2</sup> (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 km<sup>2</sup> to 35.09 km<sup>2</sup>, 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 km<sup>2</sup>), cropland/grassland (29.04 km<sup>2</sup>) and aquaculture ponds (17.66 km<sup>2</sup>). (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.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"179 ","pages":"Article 114158"},"PeriodicalIF":7.0000,"publicationDate":"2025-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ecological Indicators","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1470160X25010908","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
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.
基于Landsat时间序列的海岛土地利用分类体系构建及海岸带管理时空格局演变分析——以舟山群岛为例
岛屿作为特殊的地理单元,是发展蓝色经济的重要平台。现有的土地利用分类系统主要针对陆地地区,往往缺乏对复杂海洋环境和岛屿周期性潮汐效应的考虑,导致信息提取的适用性不足,精度较低。为了解决这些问题,本研究采用海陆耦合视角和长期时间分析。综合考虑地理环境和土地利用模式的独特性,系统整合中分辨率卫星影像的光谱、时间和地貌特征,构建了海岛环境土地利用分级分类框架。然后,采用随机森林算法(RFA)对多特征参数进行融合提取土地利用信息,并对土地利用信息的时空动态特征进行了探索。舟山群岛的研究结果表明:(1)建立的分类体系有效地考虑了周期性潮汐淹没和海陆相互作用的影响,更准确地反映了海岛地区的自然资源禀赋和土地利用模式。(2)综合多特征参数,RFA在1985—2024年舟山群岛遥感土地利用信息提取中表现出较好的效果,平均总体精度(OA)为93.56%,Kappa系数为0.93。③舟山群岛陆地总面积从1985年的1,274.42 km2持续扩大到2024年的1,456.57 km2。城市化导致建设用地急剧扩大,从47.62 km2增加到426.50 km2,增加了8.95倍。(4)受产业转型影响,盐田面积降幅高达94.88%。在渔业经济的带动下,养殖池塘面积大幅扩大,从8.08 km2增加到35.09 km2,增长了4.34倍。海岸带填海主要以浅海和裸潮间带为主,新增填海土地主要为建设用地(119.12 km2)、耕地/草地(29.04 km2)和养殖场(17.66 km2)。(5)景观指数分析表明,舟山群岛景观破碎化加剧,多样性增强,连通性下降,但近年来这些趋势有所缓解。本研究可为海岛土地利用的可持续发展和深入研究提供有价值的指导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Ecological Indicators
Ecological Indicators 环境科学-环境科学
CiteScore
11.80
自引率
8.70%
发文量
1163
审稿时长
78 days
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.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信