Prabhat Koner
University of Maryland, USA
Title: A comparative study of remote sensing retrievals using deterministic and stochastic method
Biography
Biography: Prabhat Koner
Abstract
There are two distinct different schools of thoughts in parameter estimation: deterministic and stochastic. Deterministic inverse method assumes that there are true values of parameters, as opposed to all parameters in stochastic method are remaining as random variables. However, stochastic methods are dominating for operational satellite remote sensing retrievals for a long time, where many ambiguities are persistingin the reliability and quality of retrieved products. One of major drawbacks in prevalent stochastic inverse method is that errors are treated as definite information and use these as the input parameters. This is not the case for the deterministic method, thus ambiguities are inevitably low. First I will present the classical difference between two inverse methods in this talk. Later I will demonstrate a successful implementation of deterministic method in operational environment for near real time geophysical parameters estimation from satellite measurements. The various advantages using deterministic method over the stochastic method will be discussed subsequently.