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作 者:孟雪娇[1] 刘显傅 陈艺榕 MENG Xuejiao;LIU Xianfu;CHEN Yirong(Shanwei Marine Environmental Monitoring Center Station,State Oceanic Administration,Shanwei 516600,China;South China Sea Institute of Planning and Environmental Research,State Oceanic Administration,Guangzhou 510300,China;Southern Marine Science and Engineering Guangdong Laboratory(Guangzhou),Guangzhou 511458,China)
机构地区:[1]国家海洋局汕尾海洋环境监测中心站,广东汕尾516600 [2]国家海洋局南海规划与环境研究院,广东广州510300 [3]南方海洋科学与工程广东省实验室(广州),广东广州511458
出 处:《海洋技术学报》2022年第1期114-121,共8页Journal of Ocean Technology
基 金:南方海洋科学与工程广东省实验室(广州)重大专项资助项目(GML2019ZD0402);国家海洋局南海分局海洋科学技术局长基金资助项目(180101);广东省自然科学基金资助项目(2018A030310032)。
摘 要:对海岸带生态系统现状调查获取的跨学科、多源异构成果资料进行规范化集成管理,是科学评估海岸带生态现状及其可持续发展状况的根本。基于此,本文以2020年江门市海岸带生态系统现状调查为例,通过对红树林、砂质海岸、河口等典型海岸带生态系统的现状调查成果进行分析,研究出一套成果整理、处理、数据库构建的技术流程,实现了对现场调查、无人机航拍、遥感解译等多源异构成果资料的规范管理,并基于GIS平台,实现了调查成果的查看、浏览及可视化展现。本文的研究成果有效支撑了江门市海岸带生态系统现状调查专题图集的编制和海岸带生态状况科学评估等工作,可在全国范围海岸带生态系统现状调查成果管理和共享服务中进行示范推广。The data obtained from coastal ecosystem investigation are interdisciplinary,multi-source and heterogeneous,then how to standardize manage these data is the basis for scientific assessment of coastal ecosystem status and its sustainable development status.Based on this,taking the typical ecosystem investigation of Jiangmen in 2020 as an example,this paper analyses the results of field investigation and remote sensing interpretation of typical coastal ecosystems,such as mangrove,sandy coast and estuary,builds up a set of technical process of data processing and database establishing,and finally achieves the standardized management of field investigation,UAV aerial photography,remote sensing interpretation and other investigation results.Then intuitive display of the database are realized based on the GIS platform.The results of this paper supported the compilation of atlas and scientific assessment of coastal ecological status in Jiangmen city,as a successful example,it also can be used nation widely in the management and data sharing of the coastal ecosystem investigation achievement.
分 类 号:G250.74[文化科学—图书馆学] TP392[自动化与计算机技术—计算机应用技术]
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