Detection of Fire Smoke Plumes Based on Aerosol Scattering Using VIIRS Data over Global Fire-Prone Regions

Lu, Xiaoman; Zhang, Xiaoyang; Li, Fangjun; Cochrane, Mark A.; Ciren, Pubu

doi:10.3390/rs13020196

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Detection of Fire Smoke Plumes Based on Aerosol Scattering Using VIIRS Data over Global Fire-Prone Regions

2021
By Lu, Xiaoman ; Zhang, Xiaoyang ; Li, Fangjun ; ...
Source: Remote Sens. 2021, 13(2), 196

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Journal Title:

Remote Sensing
Personal Author:

Lu, Xiaoman ; Zhang, Xiaoyang ; Li, Fangjun ; Cochrane, Mark A. ; Ciren, Pubu

Lu, Xiaoman ; Zhang, Xiaoyang ; Li, Fangjun ; Cochrane, Mark A. ; Ciren, Pubu Less -
NOAA Program & Office:

NESDIS (National Environmental Satellite, Data, and Information Service) ; STAR (Center for Satellite Applications and Research)

NESDIS (National Environmental Satellite, Data, and Information Service) ; STAR (Center for Satellite Applications and Research) Less -
Description:

Smoke from fires significantly influences climate, weather, and human health. Fire smoke is traditionally detected using an aerosol index calculated from spectral contrast changes. However, such methods usually miss thin smoke plumes. It also remains challenging to accurately separate smoke plumes from dust, clouds, and bright surfaces. To improve smoke plume detections, this paper presents a new scattering-based smoke detection algorithm (SSDA) depending mainly on visible and infrared imaging radiometer suite (VIIRS) blue and green bands.
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Aerosol Index Aerosol Scattering Fire Smoke Detection Spatial Standard Deviation Spectral Signature
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Remote Sens. 2021, 13(2), 196
DOI:

https://doi.org/10.3390/rs13020196
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Journal Article
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CC BY
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urn:sha256:d7656ee1618e5c9ff827e124bdfc60874a6387145ddd1c094dd60ec3f563d3b7
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Detection of Fire Smoke Plumes Based on Aerosol Scattering Using VIIRS Data over Global Fire-Prone Regions

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