Overview

Latest advances in remote sensing has led the way to the development of hyperspectral sensors, which has multiple applications in the field of forestry, geology, agriculture, etc. Hyperspectral remote sensing combines the principles of remote sensing and spectroscopy to generate images consisting of several contiguous bands with relatively narrow bandwidths (5-10 nm). These narrow bands help scientists and researchers investigate different properties of materials on the ground.

Learning objectives

• Learn the applications of hyperspectral data
• Work with hyperspectral rasters
• Derive useful vegetation indices

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