Paper
27 September 2006 Spectral characteristics of infrared radiation from forest fires
Han Sun, Zhiguo Rong, Cheng Liu, Jingjing Liu, Yan Zhang, Peng Zhang, Xinli Wang, Wei Gao
Author Affiliations +
Abstract
Field experiments with man-made fires in a forest were conducted to verify fire warning products from satellite remote sensing techniques and to select more effective channels for producing these products. Pine branches and trunks as well as other woods were burned at a designated place in a pine-dominated forest to simulate wild forest fires when a satellite was passing over the sky. Infrared spectral irradiances, visible spectrum, brightness, and temperature were measured concurrently with satellite data at the ground using a medium and near-infrared MOMEM MR154 FT-Spectroradiometer, an infrared thermal imager, and a visible and near-infrared spectroradiometer (ASD FR). The measurements showed two emission peaks in middle infrared band that corresponded exceptionally to the combustion strength. One of the spikes at 4.17 μm reflected the CO emission peak. The other peak spanned through the wavelengths of 4.34-4.76 μm, which exhibited a much stronger response to the fire than the commonly used channel 3.5-4.0 μm for fire monitoring in remote sensing. The results suggest that the wave band 4.34-4.76 μm is probably more sensitive and more effective than the common-used channel for wild fire monitoring using satellite remote sensing techniques. However, the peak of this wavelength band drifted during the burning process, which should be taken into account in channel selection. This band is suitable to determine forest fires. Further studies are needed to use it for retrieving fire strength quantitatively.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Han Sun, Zhiguo Rong, Cheng Liu, Jingjing Liu, Yan Zhang, Peng Zhang, Xinli Wang, and Wei Gao "Spectral characteristics of infrared radiation from forest fires", Proc. SPIE 6298, Remote Sensing and Modeling of Ecosystems for Sustainability III, 629808 (27 September 2006); https://doi.org/10.1117/12.679775
Lens.org Logo
CITATIONS
Cited by 4 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Satellites

Combustion

Infrared radiation

Thermography

Remote sensing

Calibration

Meteorological satellites

Back to Top