Hyperspectal Remote Sensing for Agriculture: A Review

Abstract

Hyperspectral remote sensing is used for wide range of application. Hyperspectral data provides more than 200 narrow wavelength bands which provide significant information about all biological and chemical properties of material. Hyperspectral remote sensing is widely used in various applications like agricultural and soil research, mining application, crop management application, drought condition assessment, plant species classification, water body analysis, mineral analysis etc. This paper mainly reviews the concept of hyperspectral remote sensing; processing of hyperspectral data; different vegetation indices defined by researcher; the applications of hyperspectral data for agricultural.