摘要
土地覆盖分类体系是土地覆盖研究中的重要内容。该文总结了9种主要土地覆盖分类体系,展示了分类体系和相应数据产品,分析了体系之间的区别和联系,讨论了土地覆盖分类体系精细程度,以及分类体系、空间分辨率、空间覆盖范围的关系,讨论了分类体系之间的语义一致性。论文认为土地覆盖分类体系(land cover classification system, LCCS)和全球土地覆盖精细分辨率观测与监测数据(finer resolution observation and monitoring of global land cover, FROM-GLC)分类体系在精细化分类方面具有优势,高空间分辨率精细分类存在较大技术挑战和实现难度;目前分类体系之间在逻辑关系、精细分类、名称定义、代码等多方面,存在明显的语义不一致现象;最后总结指出全球土地覆盖分类研究存在全球化和区域化并存、分类更加精细、产品精度更高、时间间隔和空间分辨率更加细致的发展趋势,数据产品的语义不一致性还需改进,未来需在加强分类体系的兼容性、实现数据产品的共享互操作方面提出解决方案。
Land cover classification systems constitute a significant aspect of land cover research.This study summarized nine major land cover classification systems.It presented these classification systems along with their relevant data products and analyzed the differences and connections between them.Moreover,this study discussed the relationship of their fineness with spatial resolution and coverage,as well as their semantic consistency.The results indicate that LCCS and Finer Resolution Observation and Monitoring of Global Land Cover(FROM-GLC)excel in fine-scale classification but face technical challenges and implementation difficulties in fine-scale classification based on high spatial resolution data.Current classification systems exhibit significant semantic inconsistencies in logical relationships,fine-scale classification,nomenclature,and code.Global land cover classification research shows the following development trends:the coexistence of globalization and regionalization,finer-scale classification,higher product accuracy,and more detailed temporal and spatial resolution.The semantic consistency of data products needs to be enhanced by strengthening the compatibility of classification systems and finding solutions to data product sharing and interoperability.
作者
臧明润
廖远鸿
陈舟
白玉琪
ZANG Mingrun;LIAO Yuanhong;CHEN Zhou;BAI Yuqi(Department of Earth System Science,Ministry of Education Ecological Field Station for East Asian Migratory Birds and Their Habitatses,Institute for Global Change Studies,Tsinghua University,Beijing 100084,China;School of Information Engineering,China University of Geosciences Beijing,Beijing 100083,China;Tsinghua Urban Institute,Tsinghua University,Beijing 100084,China)
出处
《自然资源遥感》
北大核心
2025年第6期22-40,共19页
Remote Sensing for Natural Resources
基金
国家重点研发计划项目“面向开放科学的国际地球观测系统互操作体系研究与示范”(编号:2019YFE0126400)资助。
关键词
土地覆盖
分类体系
时间分辨率
空间分辨率
数据产品
语义一致性
land cover
classification system
temporal resolution
spatial resolution
data product
semantic consistency
