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Abstract：
Land resources are an essential foundation for socioeconomic development. Island land resources are limited, the type changes are particularly frequent, and the environment is fragile. Therefore, large-scale, long-term, and high-accuracy land-use classification and spatiotemporal characteristic analysis are of great significance for the sustainable development of islands. Based on the advantages of remote sensing indices and principal component analysis in accurate classification, and taking Zhoushan Archipelago, China, as the study area, in this work long-term satellite remote sensing data were used to perform land-use classification and spatiotemporal characteristic analysis. The classification results showed that the land-use types could be exactly classified, with the overall accuracy and Kappa coefficient greater than 94% and 0.93, respectively. The results of the spatiotemporal characteristic analysis showed that the built-up land and forest land areas increased by 90.00 km2 and 36.83 km2, respectively, while the area of the cropland/grassland decreased by 69.77 km2. The areas of the water bodies, tidal flats, and bare land exhibited slight change trends. The spatial coverage of Zhoushan Island continuously expanded toward the coast, encroaching on nearby sea areas and tidal flats. The cropland/grassland was the most transferred-out area, at up to 108.94 km2, and built-up land was the most transferred-in areas, at up to 73.31 km2. This study provides a data basis and technical support for the scientific management of land resources.
摘要：
土地资源是社会经济发展的重要基础。岛内土地资源有限,类型变化特别频繁，环境很脆弱。因此,大规模,长期的,高精度的土地利用分类和时空特征分析对海岛的可持续发展具有重要意义。基于遥感指数和主成分分析在精确分类中的优势,以舟山群岛为例，中国,作为研究区域，在这项工作中，长期的卫星遥感数据被用来进行土地利用分类和时空特征分析。分类结果表明，土地利用类型可以准确分类，总体精度和Kappa系数分别大于94%和0.93。时空特征分析结果表明,建成用地和林地面积分别增加了90.00km2和36.83km2,耕地/草地面积减少了69.77km2。水体的区域，潮汐公寓,裸露土地表现出轻微的变化趋势。舟山岛的空间覆盖范围不断向沿海扩展，侵占附近海域和滩涂。农田/草地是转移最多的地区，高达108.94平方公里，建成区是转移最多的地区，高达73.31km2。本研究为土地资源的科学管理提供数据基础和技术支持。
