数据与计算发展前沿 ›› 2021, Vol. 3 ›› Issue (6): 127-141.

doi: 10.11871/jfdc.10-1649.2021.06.010

• 技术与应用 • 上一篇    下一篇

广东车八岭国家级自然保护区生物多样性综合监测信息服务平台

束祖飞1(),何文通2(),李健2(),张应明1,朴英超2,罗泽2,*()   

  1. 1. 广东车八岭国家级自然保护区管理局,广东 始兴 512526
    2. 中国科学院计算机网络信息中心,北京 100083
  • 收稿日期:2021-10-08 出版日期:2021-12-20 发布日期:2022-01-26
  • 通讯作者: 罗泽
  • 作者简介:束祖飞,广东车八岭国家级自然保护区管理局,林业高级工程师,主要从事自然保护地生物多样性保护研究。
    在本文中主要负责700M传输网络建设以及信息服务平台的研究方向和应用推广。
    SHU Zufei is a senior engineer at Guang-dong Chebaling National Nature Reserve Administration. He is Mainly engaged in research on biodiversity conservation in nature reserves.
    In this paper, he is mainly responsible for the construction of a 700M tranmission network and the requirements analysis of the whole platform.E-mail: 400541683@qq.com;|何文通,中国科学院计算机网络信息中心,工程师,主要从事基于云服务技术与应用及遥感影像智能分析研究。
    在本文中主要负责云服务平台研发。
    HE Wentong is an engineer at Computer Network Information Center, Chinese Academy of Sciences. His main research interests include cloud service technologies and intelligent analysis of remote sensing images.
    In this paper, he is mainly responsible for the development of cloud service platform. E-mail: hwt0316@cnic.cn;|李健,中国科学院计算机网络信息中心,高级工程师,主要从事图像视频智能分析以及智能运维技术研究。
    在本文中主要负责红外相机图像视频智能分析系统研发。
    LI Jian is a senior engineer at Computer Network Information Center, Chinese Academy of Sciences. His main research interests include image and video intelligent analysis and intelligent operation technologies.
    In this paper, he is mainly responsible for the development of infrared camera image and video intelligent analysis system. E-mail:lijian@cnic.cn;|张应明,广东车八岭国家级自然保护区管理局,林业高级工程师,主要从事自然保护地管理研究。
    在本文中主要负责保护区野外巡护调查系统的研究方向以及研究内容。
    ZHANG Yingming is a senior forestry engineer at Guangdong Chebaling National Nature Reserve Administration. He is mainly engaged in research on the management of nature reserves.
    In this paper, he is mainly responsible for investigating the research questions of the field patrol investigation system in the Nature reserve. E-mail: 627744975@qq.com;|朴英超,中国科学院计算机网络信息中心,助理研究员,主要从事遥感影像分析处理和地理信息系统研究。
    在本文中主要负责基于卫星遥感的栖息地质量监测评估系统的研发。
    PIAO Yingchao is assistant research fel-low at Computer Network Information Center, Chinese Academy of Sciences. Her main research interests include remote sensing image processing and geographic infor-mation system.
    In this paper, she is mainly responsible for the development of the satellite remote sensing based habitat quality monitoring and evaluation system. E-mail: pyc@cnic.cn;|罗泽,中国科学院计算机网络信息中心,研究员,主要研究方向为机器学习、科研信息化技术与应用。
    在本文中主要负责云服务平台的架构设计和组织协调。
    LUO Ze is a research fellow at Computer Network Information Center, Chinese Academy of Sciences. His main research interests include machine learning, e-Science technologies, and applications.
    In this paper, he is mainly responsible for the architecture design of the cloud service platform, and the organization, coor-dination of the R&D work. E-mail: luoze@cnic.cn
  • 基金资助:
    广东省乡村振兴战略专项“车八岭自然保护区科研监测信息化体系能力建设项目”

A Comprehensive Monitoring Information Service Platform for Biodiversity at Guangdong Chebaling National Nature Reserve

SHU Zufei1(),HE Wentong2(),LI Jian2(),ZHANG Yingming1,PIAO Yingchao2,LUO Ze2,*()   

  1. 1. Guangdong Chebaling National Nature Reserve Administration, Shixing, Guangdong 512526, China
    2. Computer Network Information Center, Chinese Academy of Sciences, Beijing 100083, China
  • Received:2021-10-08 Online:2021-12-20 Published:2022-01-26
  • Contact: LUO Ze

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摘要：

【应用背景】为推动自然保护区生物多样性监测的体系化和规范化,中国生物圈保护区网络野生动物综合监测计划以广东车八岭国家级自然保护区为示范基地,系统研发了以野生动物为主的生物多样性监测关键技术集成和综合信息服务平台。【方法】在保护区网络建设的基础上,集成多源传感器、多尺度遥感和智能终端监测技术和方法,基于大数据云服务环境,对图像视频数据、遥感无人机影像、地理信息数据以及生态监测数据开展智能分析应用,打通监测数据汇聚分析全链条,建立了自然保护地天空地一体化科研监测信息服务体系。【结论】通过推动自然保护地科研监测技术体系的标准化和智能化建设而开展的工作将有助于全面支撑自然保护地的科学保护、管理和决策。

关键词: 自然保护区, 生物多样性监测, 云服务, 智能分析

Abstract:

[Context] In order to promote the systematization and standardization of biodiversity monitoring in nature reserves, China Biosphere Reserve Network Wildlife Comprehensive Monitoring Program takes Guangdong Chebaling National Nature Reserve as a demonstration site and systematically develops a key technology integration and comprehensive information service platform for biodiversity monitoring, focusing on wild animals.[Methods] Based on the protected area transmission network, we have integrated multi-source sensors, multi-scale remote sensing, and intelligent terminal monitoring technologies and methods, carried out intelligent analysis and application of image and video data, satellite remote sensing, and drone images, geographic information data, and ecological monitoring data under the big data and cloud service environment, got through all links in the entire chain of monitoring data aggregation and analysis, and established an integrated research monitoring information service system for the nature reserve. [Conclusions] The relevant achievements and experiences will help improve the capability of scientific protection, scientific management, and scientific decision-making of nature reserves by promoting the standardization and intelligent construction of the scientific research and monitoring technology system.

Key words: natural reserve, biodiversity monitoring, cloud service, intelligent analysis