  In this paper, we propose a burnscar detection model for hyperspectral
imaging (HSI) data. The proposed model contains two-processing steps in which
the first step separate and then suppress the cloud information presenting in
the data set using an RPCA algorithm and the second step detect the burnscar
area in the low-rank component output of the first step. Experiments are
conducted on the public MODIS dataset available at NASA official website.
