Fire detection and temperature retrieval using EO-1 Hyperion data over selected Alaskan boreal forest fires
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2019
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Details
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Journal Title:International Journal of Applied Earth Observation and Geoinformation
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Description:Infrared imaging spectrometers are used to map and characterize wildland fire based on their sensitivity to fire-emitted thermal radiation and ability to resolve spectral emission or absorption features. There is a general paucity of research on the use of space-borne imaging spectroscopy to study active fires in the North American boreal forest. We used hyperspectral data acquired by the Hyperion sensor on the EO-1 satellite over three wildfires in Alaska’s boreal forest to evaluate three fire detection methods: a metric to detect an emission feature from potassium emitted by biomass burning; a continuum-interpolated band ratio (CIBR) that measures the depth of a carbon dioxide absorption line at 2010 nm; and the Hyperspectral Fire Detection Index (HFDI), which is a normalized difference index based on spectral radiance in the short-wave infrared range. We found that a modified version of the HFDI produces a well-defined map of the active fire areas. The CO2 CIBR, though affected by sensor noise and smoke, contributes a slight improvement to the fire detection performance when combined with HFDI-type indices. In contrast, detecting a fire signal from potassium emission was not reliably possible in a practically useful way. We furthermore retrieved fire temperatures by modeling the at-sensor radiance as a linear mixture of two emitted and two reflected spectral radiance endmembers. High-temperature fire areas (the high-intensity fire front, modeled at 800–900 K) and low-temperature combustion (residual fire at 500–600 K), were mapped. High-temperature burning areas as small as half a percent of a Hyperion pixel (approx. 5 m2) were detectable. These techniques are of potential interest for fire characterization in the boreal areas of the circumpolar North using current and future satellite-borne imaging spectrometers.
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Keywords:Computers In Earth Sciences Earth-Surface Processes Global And Planetary Change Management, Monitoring, Policy And Law Computers In Earth Sciences Global And Planetary Change Management, Monitoring, Policy And Law Computers In Earth Sciences Global And Planetary Change Management, Monitoring, Policy And Law
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Source:International Journal of Applied Earth Observation and Geoinformation, 81, 72-84
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ISSN:1569-8432
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Rights Information:Accepted Manuscript
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Compliance:Library
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Main Document Checksum:urn:sha256:94fe701c2790887f12a6b5f9c962bd18b61fd848b5764fb83307f8ddb93f1576
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