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

doi:10.11947/j.AGCS.2025.20250138

Abstract

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

CLC Number:

P237

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.

Figures/Tables 8

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