Near-real-time forest fire monitoring system with medium and high spatial resolutions

被引：0
|
作者：
Sun F. [1 ,2 ]
Li X. [2 ]
Li Z. [3 ]
Qin X. [3 ]
机构：
[1] Key Laboratory of Sustainable Forest Ecosystem Management Ministry of Education, School of Forestry, Northeast Forestry University, Harbin
[2] Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing
[3] The Institute of Forest Resources Information Technique, Chinese Academy of Forestry, Beijing
来源：
Yaogan Xuebao/Journal of Remote Sensing | 2020年 / 24卷 / 05期
关键词：
Cloud storage and computation; Data sharing; Forest fire; Medium and high spatial resolution satellite; Near-real-time; Remote sensing;
D O I：
10.11834/jrs.20209137
中图分类号：
学科分类号：
摘要：
Forest fires are common disasters that seriously endanger human life. Timely and accurate monitoring of forest fires is essential for fighting fires and reducing losses. At present, active forest fire monitoring mainly uses polar or geostationary orbit satellites with low spatial resolution. The spatial resolution is extremely low, making it difficult to detect small-scale fires and control fire conditions. This paper proposes a near-real-time forest fire monitoring system with medium and high spatial resolutions on the basis of the rapid development of medium and high spatial resolution satellite sensors, data sharing policy, and data processing capabilities in recent years. This paper summarizes the research status and related shortage in four aspects, namely, basic principles of forest fire monitoring, currently available medium and high spatial resolution satellite data and their characteristics, active forest fire monitoring algorithms and data sharing, and cloud storage and computation, and analyze the feasibility of a near-real-time forest fire monitoring system with medium and high spatial resolutions. The proposed near-real-time fire monitoring system with medium and high spatial resolutions can serve as an important supplement to existing forest fire monitoring systems with coarse resolution. It can early and accurately detect small-scale forest fires and provide support for forest fire prevention and management because of its high spatial resolution. © 2020, Science Press. All right reserved.
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页码：543 / 549
页数：6
相关论文
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