Nahid Kavoosi - PhD candidate of remote sensing

In Geology a lot of minerals and rocks have characteristic spectral features that allow their composition and relative abundance to be recognized and mapped from space even though in sub pixels. Hyperspectral remote sensing is the measurement of the Earth’s surface in hundreds of spectral images that provides a unique means of remotely mapping mineralogy. Both supervised and unsupervised spectral unmixing methods are used to detect minerals in an image. By using software of remote sensing such as ENVI (The Environment for Visualizing Images) we can represent an approach to analysis of hyperspectral data. It creates a highly accurate mineral/ lithology /alteration maps for the region to develop a better understanding of the geologic processes shaping the land surface.

Hyperspectral imagery, Alteration, AVIRIS, Mineral Mapping