动态服务计算支持的自然资源遥感监测监管平台关键技术研究

doi:10.11947/j.AGCS.2025.20250138

测绘学报 ›› 2025, Vol. 54 ›› Issue (11): 1992-2008.doi: 10.11947/j.AGCS.2025.20250138

• 摄影测量学与遥感 • 上一篇

动态服务计算支持的自然资源遥感监测监管平台关键技术研究

武昊¹(), 侯东阳², 张俊¹, 张平¹, 刘玉轩³, 杜磊⁴, 康路⁵, 程滔¹, 陈军¹()

^1.国家基础地理信息中心，北京　100830
^2.中南大学地球科学与信息物理学院，湖南　长沙　410083
^3.中国测绘科学研究院，北京　100036
^4.自然资源部国土卫星遥感应用中心，北京　100048
^5.中国国土勘测规划院，北京　100035

收稿日期:2025-03-31 修回日期:2025-09-30 发布日期:2025-12-15
通讯作者: 陈军 E-mail:wuhao@ngcc.cn;chenjun@ngcc.cn
作者简介:武昊（1983—），男，博士，教授级高级工程师，研究方向为地理信息动态服务计算。E-mail：wuhao@ngcc.cn
基金资助:
国家重点研发计划(2023YFB3907600)

Research on key technologies of remote sensing based natural resources monitoring and supervision platform supported by dynamic service computing

Hao WU¹(), Dongyang HOU², Jun ZHANG¹, Ping ZHANG¹, Yuxuan LIU³, Lei DU⁴, Lu KANG⁵, Tao CHENG¹, Jun CHEN¹()

^1.National Geomatics Center of China, Beijing 100830, China
^2.School of Geosciences and Info-physics, Central South University, Changsha 410083, China
^3.Chinese Academy of Surveying and Mapping, Beijing 100036, China
^4.Land Satellite Remote Sensing Application Center, MNR, Beijing 100048, China
^5.China Land Surveying and Planing Institute, Beijing 100035, China

Received:2025-03-31 Revised:2025-09-30 Published:2025-12-15
Contact: Jun CHEN E-mail:wuhao@ngcc.cn;chenjun@ngcc.cn
About author:WU Hao (1983—), male, PhD, professorate senior engineer, majors in dynamic service computing for geographic information.　E-mail: wuhao@ngcc.cn
Supported by:
The National Key Research and Development Program of China(2023YFB3907600)

摘要/Abstract

摘要：

遥感监测监管是支撑自然资源保护、开发、利用的核心技术。当前，数字化发展和高质量保护对遥感监测监管的实时性、精准性、知识性、动态性提出了更高要求，迫切需要提升业务支撑体系的自动化、智能化水平，构建面向多要素、多场景、跨层级的自然资源一体化监测监管平台。本文在分析了当前研究现状的基础上，凝练了自然资源遥感监测监管工程化应用所需突破的主要技术瓶颈，以去中心化和服务自治为思路，提出了动态服务计算支持的自然资源遥感监测监管总体技术思路，设计了动态服务计算架构，并以“就绪化数据—精准化监测—知识化监管”为主线，介绍了关键技术研发任务、最新研究进展以及在自然资源监测监管业务场景的应用成效。最后对相关研究工作的推广应用意义进行了讨论。

关键词: 遥感监测监管, 动态服务计算, 就绪化数据, 精准化监测, 知识化监管

Abstract:

Remote sensing monitoring and supervision is the core technology supporting the protection, development, and utilization of natural resources. Currently, the digitalisation of processes and the necessity for high-quality protection have led to an increased demand for remote sensing monitoring and supervision to be carried out in a timely, accurate, knowledgeable, and dynamic manner. It is imperative to enhance the automation and intelligence levels of the operational support system and construct an integrated monitoring and supervision platform capable of addressing diverse elements, scenarios, and levels. This paper, based on an analysis of the current research status, identifies the main technical bottlenecks that need to be overcome for engineering applications of natural resources remote sensing monitoring and supervision. Guided by the principles of decentralisation and service autonomy, the paper proposes a framework for integrated natural resource monitoring and supervision supported by dynamic service computing. The paper outlines the design of a dynamic service computing architecture and key tasks, recent research advancements and application outcomes in natural resource remote sensing monitoring and supervision scenarios, following the thread of “ready-to-use data-precision monitoring-knowledge-driven supervision-dynamic platform”. Finally, the paper discusses the broader implications for the dissemination and application of related research efforts.

Key words: remote sensing monitoring and supervision, dynamic service computing, ready-to-use data, precision monitoring, knowledge-driven supervision

中图分类号:

P237

武昊, 侯东阳, 张俊, 张平, 刘玉轩, 杜磊, 康路, 程滔, 陈军. 动态服务计算支持的自然资源遥感监测监管平台关键技术研究[J]. 测绘学报, 2025, 54(11): 1992-2008.

Hao WU, Dongyang HOU, Jun ZHANG, Ping ZHANG, Yuxuan LIU, Lei DU, Lu KANG, Tao CHENG, Jun CHEN. Research on key technologies of remote sensing based natural resources monitoring and supervision platform supported by dynamic service computing[J]. Acta Geodaetica et Cartographica Sinica, 2025, 54(11): 1992-2008.

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动态服务计算支持的自然资源遥感监测监管平台关键技术研究

Research on key technologies of remote sensing based natural resources monitoring and supervision platform supported by dynamic service computing

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