Bistatic specular scattering measurements for the estimation of rice crop growth variables using fuzzy inference system at X-, C-, and L-bands

Abstract

Bistatic scatterometer measurements were performed on the rice crop-bed in the angular range of 20° to 60° for specular direction $(\varphi =0)$ at X-, C- and L-bands for HH-, VV-, and HV-polarizations. The dominant scattering contribution to bistatic specular scattering coefficients (${\sigma }^0$) was analysed with the crop growth stages at various angle of incidence. The regression analysis showed high correlation between ${\sigma }^0$ and crop growth variables at 40° angle of incidence for HH-polarization at X-band and for VV-polarization at C- and L-bands. The estimation of rice crop growth variables using subtractive clustering based fuzzy inference system (S-FIS) was done at 40° angle of incidence. The lower values of computed root mean square error (RMSE) between the observed and estimated values showed high potential of developed S-FIS model for the estimation of leaf area index for HH-polarisation at X-band, vegetation water content and fresh biomass for VV-polarization at C- and L-bands, respectively.

Keywords:

• Bistatic scatterometer system
• fuzzy inference system
• rice crop
• biomass
• leaf area index

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Disclosure statement

No potential conflict of interest was reported by the authors.