Development of a SGLI Adaptable Fire Radiative Power Estimation Algorithm using SWIR Observation Channels

Abstract

We propose a fire radiative power (FRP) estimation algorithm which is adaptable to the Second-generation GLobal Imager (SGLI) sensor on board the GCOM-C satellite. This algorithm is based on the Stefan-Boltzmann's law to calculate FRP. In the Stefan-Boltzmann's law based FRP calculation, sub-pixel fire information is required ; fire temperature and its fractional area coverage in the observed fire pixel. In this study, a bi-spectral method is employed to retrieve sub-pixel fire information. Furthermore, “a stepwise estimation approach” is applied to estimate the sub-pixel fire information for a good FRP estimation. This approach estimates the fire area coverage at first using a regression formula which is expressed by the logistic function, and then estimates the fire temperature. The FRP calculated by our algorithm is evaluated by comparing with the MODIS fire product FRP. The correlation between our algorithm derived FRP and the MODIS FRP shows relatively high (0.70) with low bias error (0.42 [MW]).