The knowledge of spectral signature of the objects is important in the development
of remote sensing technology, and in the analysis and interpretation of the remote
sensing data. The spectral signature data are very scarce for Indian land covers. In
the present work, investigations have been carried out over various Indian land
covers (grass covers, soil covers, and urban land covers) to understand the spectral
reflectance characteristics of these surfaces which might be of immense use for the
future investigators. The best wavebands have been pointed out for the identification
of these surfaces using remote sensing data from any platform. Based on the spectral
reflectance measurements, a mathematical relationship between total chlorophyll
concentration of Synodon dectonol grass and its reflectance has been proposed.
This mathematical relationship predicts the total chlorophyll concentration and the
health of the grass by non-destructive in-situ measurement procedure. The effect
of various parameters on the spectral reflectance properties of the considered
surfaces, has also been monitored.