陆地卫星遥感监测体系及应用前景

doi:10.11947/j.AGCS.2022.20210714

摘要/Abstract

摘要： 我国陆地卫星的快速发展和人工智能等高新技术的广泛应用为重构卫星遥感监测体系奠定了重要基础。针对我国自然资源保护、国土空间规划实施监督、生态修复及全球变化研究等对土地利用、土地覆盖及其相关地表参数指标动态变化信息的需求,基于当前我国陆地卫星观测能力,设计了全球宏观尺度监测及我国陆域范围季度监测、重点区域月度监测及应急事件即时响应的卫星遥感监测体系框架;针对自然资源卫星遥感监测需求,充分运用大数据、人工智能、云计算等高新技术,本文提出了基于工作流的监测生产线智能流转与可插拔模块调度控制、遥感影像样本知识库构建、复杂场景自然资源变化自动提取、自然资源特定目标自动提取和自然资源变化图斑全生命周期管理等技术解决方案,构建了遥感监测业务化应用技术流程,实现了我国陆域范围自然资源全要素季度监测、重点区域高频次精准监测、特定目标即时监测能力,并在自然资源执法督察和地表水变化等监测中得到应用。

关键词: 陆地卫星, 监测体系, 人工智能, 遥感应用

Abstract: In recent years, new requirements have been put forward to land remote sensing monitoring generated from the natural resources conservation, the national land spatial planning, implementation and supervision, the ecological restoration and the studies of global change. Benefiting from the rapid developments of land satellites and the widely applications of advanced technologies such as artificial intelligence, the important foundation of the reconstruction of land satellite remote sensing monitoring system has been established. Based on the observation capability of domestic land satellites, this paper proposed the construction of the land satellite remote sensing monitoring system by making full use of such high and cutting-age technologies such as big data, artificial intelligence and cloud computing, while the technical flow of nation-wide operational application was also designed. Moreover, by breaking through a series of key technologies of remote sensing monitoring, the quarterly monitoring of all types of land use in China, high-frequency and accurate monitoring in key areas, and real-time monitoring of specific targets have been realized, which has been adopted in applications such as the law enforcement inspector of natural resources and surface water change monitoring.

Key words: land satellite, monitoring system, artificial intelligence, remote sensing application

中图分类号:

P227

王权, 尤淑撑. 陆地卫星遥感监测体系及应用前景[J]. 测绘学报, 2022, 51(4): 534-543.

WANG Quan, YOU Shucheng. Research and application outlook of land satellite remote sensing monitoring system[J]. Acta Geodaetica et Cartographica Sinica, 2022, 51(4): 534-543.

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