Ice Concentration Estimation Method with Satellite based Microwave Radiometer by Means of Inversion Theory

Abstract

Ice concentration estimation method with satellitebased microwave radiometer by means of inversion theory is proposed. Through experiments, it is found that the proposed methods are superior to the existing methods, the NASA Team algorithm and the Comiso's Bootstrap algorithm with up to 45% of improvement on ice concentration estimation accuracy based on the simulation study. Also 1.5 to 2.1% of improvement was achieved for the proposed method compared to the NASA Team and Comiso's Bootstrap algorithms for the actual The Special Sensor Microwave Imager (SSM/I) data of Okhotsk using Japanese Earth Resources Satellite: JERS-1/Synthetic Aperture Radar: SAR data as a truth data for estimating ice concentration.

Merged Dataset Creation Method Between Thermal Infrared and Microwave Radiometers Onboard Satellites

“…Also, method for rainfall rate estimation with satellite-based microwave radiometer data is proposed [27]. Meanwhile, ice concentration estimation method with satellite-based microwave radiometer by means of inversion theory is proposed [28].…”