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作 者:Miao Li Bin Chen Chris Webster Peng Gong Bing Xu 李淼;陈斌;Chris Webster;宫鹏;徐冰(Department of Earth System Science,Ministry of Education Key Laboratory for Earth System Modeling,Institute for Global Change Studies,Tsinghua University,Beijing 100084,China;Future Urbanity&Sustainable Environment(FUSE)Lab,Division of Landscape Architecture,Faculty of Architecture,the University of Hong Kong,Hong Kong,China;Institute for Climate and Carbon Neutrality,the University of Hong Kong,Hong Kong,China;Institute of Data Science,the University of Hong Kong,Hong Kong,China;HKUrbanLabs,Faculty of Architecture,the University of Hong Kong,Hong Kong,China;Department of Geography,and Department of Earth Science,the University of Hong Kong,Hong Kong,China;Ministry of Education Ecological Field Station for East Asian Migratory Birds,Beijing 100084,China)
机构地区:[1]Department of Earth System Science,Ministry of Education Key Laboratory for Earth System Modeling,Institute for Global Change Studies,Tsinghua University,Beijing 100084,China [2]Future Urbanity&Sustainable Environment(FUSE)Lab,Division of Landscape Architecture,Faculty of Architecture,the University of Hong Kong,Hong Kong,China [3]Institute for Climate and Carbon Neutrality,the University of Hong Kong,Hong Kong,China [4]Institute of Data Science,the University of Hong Kong,Hong Kong,China [5]HKUrbanLabs,Faculty of Architecture,the University of Hong Kong,Hong Kong,China [6]Department of Geography,and Department of Earth Science,the University of Hong Kong,Hong Kong,China [7]Ministry of Education Ecological Field Station for East Asian Migratory Birds,Beijing 100084,China
出 处:《Science Bulletin》2022年第17期1750-1754,共5页科学通报(英文版)
基 金:supported by Major Program of the National Natural Science Foundation of China(42090015 and 72091514);the National Natural Science Foundation of China(42071400);the University of Hong Kong HKU-100 Scholars Fund;URC Seed Fund for Strategic Interdisciplinary Research Scheme;Seed Fund for Basic Research;Tsinghua-Toyota Joint Research Fund。
摘 要:土地利用/覆盖分类是研究海岸带动态变化过程、理解滨海社会-生态系统作用机制和支持可持续发展的重要基础.中国海岸带土地覆盖复杂多样,以往全国海岸带土地覆盖遥感制图产品严重依赖人工目视解译,缺乏涵盖中国重要海岸带地物类型的标准化自动制图产品.结合多套中国海岸带地区公开发表的遥感数据产品,本研究建立了包含12个类型的中国海岸带土地覆盖样本库,基于谷歌地球引擎平台,采用2019~2021年哨兵主被动遥感数据构建光谱特征和纹理特征,联合基于像素和面向对象的分类方法得到10米分辨率的中国海岸带土地覆盖产品.分析结果表明,2020年中国海岸带土地覆盖遥感自动制图结果的总体精度达到79.3%,制图产品涵盖重要的中国滨海湿地类型且优于同期全球土地覆盖分类数据.本数据产品将为海岸带环境评估和监测提供重要依据,为中国海岸带综合保护和规划提供科学支持.
关 键 词:纹理特征 自动制图 光谱特征 土地覆盖 海岸带环境 中国海岸带 数据产品 样本库
分 类 号:P237[天文地球—摄影测量与遥感] P748[天文地球—测绘科学与技术]
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