Paper
20 August 2009 Design and implementation for satellite remote sensing forest fire-points automatic monitoring system
Chunhui Zou, Huailiang Chen, Qing Yin
Author Affiliations +
Abstract
Satellite remote sensing monitoring of forest fire-points is a routine operation of weather service. By taking advantage of remote sensing information's characteristics such as relatively fixed resolution, little geometric distortion and quite stable data quality, the thesis establishes Henan Satellite Remote Sensing Forest Fire-points Automatic Monitoring System in the way of automatic geography registration based on gray correlation and control point database, which can realize automation of the whole process including automatic monitoring,automatic geography registration,automatic fire-points monitoring,automatic production releasing and cell phone short-message notice of fire-points warning information. The system could greatly improve service efficiency. Automatic registration of remote sensing information based on gray correlation and control point database features simpleness and quickness. Through automatic geography registration testing of sunny EOS/MODIS data (at daytime and nightime) during 18 periods from February 2008 to May 2008 in Henan Province with average error of registration is 0.637 pixels at daytime and 0.319 at nighttime, it can fully meet ordinary operation requirements. Fire-point identification and fire-point area estimate method in the system can be applied to monitoring different fires at daytime and at nighttime. Besides, it can automatically screen effective fire-points according to background geographic information, and thus it can improve monitoring accuracy.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chunhui Zou, Huailiang Chen, and Qing Yin "Design and implementation for satellite remote sensing forest fire-points automatic monitoring system", Proc. SPIE 7454, Remote Sensing and Modeling of Ecosystems for Sustainability VI, 74541L (20 August 2009); https://doi.org/10.1117/12.826823
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Cited by 1 scholarly publication.
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KEYWORDS
Remote sensing

Satellites

Databases

Geography

Image registration

Image processing

Meteorological satellites

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