Crop indentification based on hyperspectral remote sensing
Abstract
I hyperspectral Remote Sensing provides a new technical means for the identification of crop
species<b 12>, which isof significance for thedevelopment of precision agriculture. In this study, spectral
characteristics-based identification were conducted on 7 crops at harvest by using different data Forms and
commonly used vegetation indices. The reflectivity of Canna is very prominent in 350-500 nm wavelength, and The spectral reflectance of crops varied in 760-915 nm,1 000-1/Nm. The best wavelengths for identification
of the 7 crops is 516 nm, 568 nm, 609 nm, 642nm, </b 18>660 nm,nm, 717 nm , 760 nm , 928 nm , 1 001 nm , 1
118 nm , 1 136 nm and 1 327 nm. Among vegetation indices, rv/ showed the strongest identifying potential
followed by Msri b129>,NV/, tdv/ , ev/ , ndv/ , sav/ , DV /, tv/ , /pv/.To sum up , The characteristic spectrum and
vegetation index are capable of crop discrimination.
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