ESTIMATION OF BIOPHYSICAL PARAMETERS OF WHEAT CROP THROUGH MODIFIED WATER CLOUD MODEL USING SATELLITE DATA

摘要: Abstract. A modified water cloud model (WCM) was used to estimate the biophysical parameters of wheat crop using Sentinel-1A and Landsat-8 satellite images. The approach combining potential SAR optical data provided a new technique for estimation crop. done non-linear least squares optimization by minimizing cost function between backscattering coefficients (σ0) computed from image simulated WCM followed look up table algorithm(LUT). integrates full account response on vegetation bare soil adding fraction. found more sensitive than original because incorporation fraction (fveg) derived data. estimated values leaf area index (LAI) at VV polarization shows good correlation (R2 = 83.08 % RMSE = 0.502 m2/m2) with observed values. Whereas, (LWAI) comparatively poor correspondence (R2 = 76 % RMSE = 0.560 m2/m2) in comparison LAI polarization. performance indices show that accurate during whole growth season Varanasi district, India. Thus, significant LWAI incorporating both