Estimation of winter wheat crop growth parameters using time series Sentinel-1A SAR data
作者： P. Kumar , R. Prasad , D. K. Gupta , V. N. Mishra , A. K. Vishwakarma
DOI: 10.1080/10106049.2017.1316781
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摘要: AbstractIn the present study, Sentinel-1A Synthetic Aperture Radar analysis of time series data at C-band was carried out to estimate winter wheat crop growth parameters. Five different date images were acquired during January 2015–April 2015 stages from tillering ripening in Varanasi district, India. The parameters, i.e. leaf area index, vegetation water content (VWC), fresh biomass (FB), dry (DB) and plant height (PH) estimated using random forest regression (RFR), support vector (SVR), artificial neural network (ANNR) linear (LR) algorithms. Ground Range Detected products Interferometric Wide (IW) Swath used VV polarization. three subplots 1 m2 taken for measurement parameters every stage. In total, 73 samples as training data-sets 39 testing data-sets. highest sensitivity (adj. R2 = 0.95579) backsc...
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