Leaf area index estimation of wheat crop using modified water cloud model from the time-series SAR and optical satellite data

被引:25
作者
Yadav, Vijay Pratap [1 ]
Prasad, Rajendra [1 ]
Bala, Ruchi [1 ]
机构
[1] IIT BHU, Dept Phys, Varanasi, Uttar Pradesh, India
关键词
Backscattering coefficient; LAI; Sentinel-1A; Sentinel-2; MWCM;
D O I
10.1080/10106049.2019.1624984
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The time-series synthetic aperture radar (SAR) and optical satellite data were used for the leaf area index (LAI) estimation of wheat crop using modified water cloud model (MWCM) in Varanasi district, India. In this study, MWCM was developed by including scale invariant vegetation fraction (f(veg)) in the old WCM for the estimation of LAI. The non-linear least square optimization technique was applied to determine the optimum model parameters for the retrieval of LAI which was further validated with the observed LAI. The estimated values of LAI by MWCM at VV polarization shows good correspondence (R-2 = 0.901 and RMSE = 0.456 m(2)/m(2)) with the observed LAI values than at VH polarization (R-2 = 0.742 and RMSE = 0.521 m(2)/m(2)).The MWCM shows great potential for the LAI estimation of wheat crop by incorporating optical data (i.e. Sentinel-2) in terms of f(veg) with SAR data (i.e. Sentinel-1A).
引用
收藏
页码:791 / 802
页数:12
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