Start Date
8-12-2015 8:30 AM
Description
As remote sensing technology is continually improving and sheds light onto climate change, political and social pressure rises, in parallel, to develop technology and strategies to predict and mitigate further environmental damage. This pressure is the basis of the motivation for the development and launch of the Visible Infrared Imaging Radiometer Suite (VIIRS) imager, intended to provide next generation imaging and detecting capabilities for climate change research. Climate change has complex origins and influences. Specifically, biomass-burning emissions comprise a large source of the greenhouse gas emissions that contribute to the phenomenon of global warming. Negative consequences of biomass burning include air and water quality reduction, disease outbreaks, agricultural productivity, and drought. Biomass burning is heavily concentrated in the continent of Africa. However, historically, there has been inadequate temporal and locational quantitative data regarding biomass burning specific to this region. I propose the application of VIIRS imaging data, specifically VIIRS Nightfire data, for biomass burning detection to this region to draw conclusions regarding the relationships between biomass burning intensity, location, and time.
Application of VIIRS Nightfire Data to Biomass Burning in Africa
As remote sensing technology is continually improving and sheds light onto climate change, political and social pressure rises, in parallel, to develop technology and strategies to predict and mitigate further environmental damage. This pressure is the basis of the motivation for the development and launch of the Visible Infrared Imaging Radiometer Suite (VIIRS) imager, intended to provide next generation imaging and detecting capabilities for climate change research. Climate change has complex origins and influences. Specifically, biomass-burning emissions comprise a large source of the greenhouse gas emissions that contribute to the phenomenon of global warming. Negative consequences of biomass burning include air and water quality reduction, disease outbreaks, agricultural productivity, and drought. Biomass burning is heavily concentrated in the continent of Africa. However, historically, there has been inadequate temporal and locational quantitative data regarding biomass burning specific to this region. I propose the application of VIIRS imaging data, specifically VIIRS Nightfire data, for biomass burning detection to this region to draw conclusions regarding the relationships between biomass burning intensity, location, and time.
