Ground Based Bistatic Scatterometer Measurement for the Estimation of Growth Variables of Ladyfinger Crop at X-Band
- 43 Downloads
The present study describes the ground based bistatic scatterometer measurements of ladyfinger crop at its various growth stages in the specular direction with the azimuthal angle (\( \phi = 0 \)) for the angular incidence angle ranging from 20° to 60° at the interval of 10° at HH and VV polarization. An outdoor ladyfinger crop bed of an area 4 × 4 m2 was specially prepared for the ground based bistatic scatterometer measurements. The crop growth variables like vegetation water content, leaf area index, fresh biomass, and plant height were also measured at the time of each bistatic scatterometer measurement. The specular bistatic scattering coefficients were found to be decreasing with the crop growth variables up to the maturity stage and then after it increased slightly. The linear regression analysis was carried out between specular bistatic scattering coefficient and crop growth variables at all the incidence angles for HH and VV polarization to select the optimum angle of incidence and polarization for the estimation of crop growth variables. The potential of subtractive clustering based adaptive neuro-fuzzy inference system was applied for the estimation of crop growth variables. The estimated values for different crop growth variables were found almost close to the observed values.
KeywordsSpecular bistatic scattering coefficients S-ANFIS VWC LAI Ladyfinger crop
- Chiu, S. L. (1994). Fuzzy model identification based on cluster estimation. Journal of Intelligent and Fuzzy Systems, 2, 267–278.Google Scholar
- Drake, J. T. (2000). Communications phase synchronization using the adaptive network fuzzy inference system (anfis). Las Cruces: New Mexico State University.Google Scholar
- Pandey, A. (2011). Crop signature studies by microwave remote sensing using soft computing techniques, Ph.D. Department of Physics, Indian Institute of Technology (BHU), VaranasiGoogle Scholar
- Wegmuller, U. (1990). Remote sensing signature studies on agricultural fields with ground-based radiometry and scatterometry. Ph.D. University of Bern, SwitzerlandGoogle Scholar