A11I-3113:
An Automated Smoke Detection Algorithm for Application to Suomi NPP VIIRS Observations
Monday, 15 December 2014
Chuanyu Xu, I.M. Systems Group, Inc, Rockville, MD, United States and Shobha Kondragunta, NOAA College Park, College Park, MD, United States
Abstract:
Suomi-NPP Visible Infrared Imaging Radiometer Suite (VIIRS) was launched on October 28, 2011 to provide various atmospheric and land related environmental parameters to the operational user community. An automated method to identify smoke in the VIIRS imagery is important for a host of applications including air quality monitoring and forecasting. We developed an algorithm that combines fire hot spots and quantitative Aerosol Optical Thickness (AOT) retrievals to apportion smoke aerosol plume to a known fire source. Each VIIRS granule is a 86s data capture with 48 scan lines, 3000 km swath width, and 750 m to 1.2 km pixel resolution. The analysis of all fire cases in 2012 indicates that "smoke AOT" retrievals using the VIIRS are able to characterize and identify biomass smoke plumes. Extensive comparisons to CALIOP (Cloud Aerosol Lidar with Orthogonal Polarization) Vertical Feature Mask (VFM) product for some known fire cases in 2012 shows that the accuracy of the product is ~70%. Algorithm details, case study analysis of various smoke events, and validation results will be presented.
