HUANG Jingjin, GUO Weili, WEI Zhongyang, TANG Changzeng, PAN Zhengqiang, REN Jianfu. 2023. Research and applications of the technology system for natural resource survey and monitoring:A case study of Guangxi. Remote Sensing for Natural Resources, 35(4): 192-200. doi: 10.6046/zrzyyg.2022325
Citation: |
HUANG Jingjin, GUO Weili, WEI Zhongyang, TANG Changzeng, PAN Zhengqiang, REN Jianfu. 2023. Research and applications of the technology system for natural resource survey and monitoring:A case study of Guangxi. Remote Sensing for Natural Resources, 35(4): 192-200. doi: 10.6046/zrzyyg.2022325
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Research and applications of the technology system for natural resource survey and monitoring:A case study of Guangxi
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HUANG Jingjin1,2,
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GUO Weili 1,2,
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WEI Zhongyang1,2,
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TANG Changzeng1,2, ,
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PAN Zhengqiang 1,2,
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REN Jianfu1,2
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1. Guangxi Insititute of Natural Resources Survey and Monitoring, Nanning 530219, China
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;2. Technology Innovation Center for Natural Resources Monitoring and Evaluation of Beibu Gulf Economic Zone, Ministry of Natural Resources, Nanning 530219, China
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Corresponding author:
TANG Changzeng
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Abstract
It has been proposed to develop natural resource survey and monitoring systems. Under this background, the integration of the new generation of digital technologies and the survey and monitoring is suffering from the following problems in the unified natural resource survey and monitoring: the lack of collaboration among spatio-temporal data on natural resources, the inadequate automation of data processing, the limited level of refined management of achievements, and inadequate social services and data security. In the context of the rapid development of modern survey technologies and new-generation digital technologies such as artificial intelligence, big data, and cloud computing, as well as their in-depth combination with natural resources survey and monitoring, this study proposed a technical framework of the unified natural resource survey and monitoring system. Accordingly, this study conducted research on five aspects: air-space-land-people-network collaborative perception, the automatic processing of spatio-temporal data on natural resources, the construction of spatio-temporal database of natural resource entities, the sharing service of survey and monitoring achievements, and data security. Finally, with the air-space-land-people-network collaborative perception network, the R&D of a universal survey and monitoring data acquisition system, and the comprehensive monitoring of natural resources in Guangxi Province as examples, this study introduced the achievements made in the construction of the technical framework of the natural resources survey and monitoring system.
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