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

i

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 ; ...

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Journal Title:

Remote Sensing
Personal Author:

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

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

Aerosol Index Aerosol Scattering Fire Smoke Detection Spatial Standard Deviation Spectral Signature
Source:

Remote Sens. 2021, 13(2), 196
DOI:

https://doi.org/10.3390/rs13020196
Document Type:

Journal Article
Rights Information:

CC BY
Compliance:

Submitted
Main Document Checksum:

urn:sha256:d7656ee1618e5c9ff827e124bdfc60874a6387145ddd1c094dd60ec3f563d3b7
Download URL:

https://repository.library.noaa.gov/view/noaa/41798/noaa_41798_DS1.pdf
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[PDF - 8.17 MB ]

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