Potential of Hyperspectral Remote Sensing on Monitoring of Foliar Biochemistry of Tea

The monograph is a study on Potential of Hyperspectral Remote Sensing on Monitoring of Foliar Biochemistry of Tea. Remote sensing and GIS is present day need for monitoring measurement and modelling through which we can achieve at better decision making. Hyperspectral remote sensing has been efficiently used for monitoring health quality of tea plantation. An understanding of the spectral characteristics of tea plantation is very important for mapping and monitoring of Tea gardens using remote sensing techniques. In this monograph an attempt has been made to assess Classification of tea grown areas using Spectral Angle Mapper algorithm (SAM) derivation of various hyperspectral vegetation indices pertaining to quality parameters and decision tree classification for assessment foliar biochemistry of tea bushes. This technology could be useful to monitor foliar biochemistry of tea crop without destructive process.