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Sensors 2018, 18(7), 2271; https://doi.org/10.3390/s18072271

Inversion of Rice Biophysical Parameters Using Simulated Compact Polarimetric SAR C-Band Data

1
College of Geomatics, Shandong University of Science and Technology, Qingdao 266590, China
2
Laboratory of Radar Remote Sensing Application Technology, Institute of Remote Sensing and Digital Earth (RADI), Chinese Academy of Sciences, Datun Road, Chaoyang District, Beijing 100101, China
3
Laboratory of Target Microwave Properties (LAMP), Zhongke Academy of Satellite Application in Deqing (DASA), Deqing 313200, China
4
School of Earth Science and Resources, China University of Geosciences (Beijing), Beijing 100083, China
5
Institute of Transmission and Transformation Engineering, China Electric Power Research Institute, Beijing 100055, China
*
Authors to whom correspondence should be addressed.
Received: 24 May 2018 / Revised: 10 July 2018 / Accepted: 11 July 2018 / Published: 13 July 2018
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Abstract

Timely and accurate estimation of rice parameters plays a significant role in rice monitoring and yield forecasting for ensuring food security. Compact-polarimetric (CP) synthetic aperture radar (SAR), a good compromise between the dual- and quad-polarized SARs, is an important part of the new generation of Earth observation systems. In this paper, the ability of CP SAR data to retrieve rice biophysical parameters was explored using a modified water cloud model. The results showed that S1 was superior to other CP variables in rice height inversion with a coefficient of determination (R2) of 0.92 and a root-mean-square error (RMSE) of 5.81 cm. RL was the most suitable for inverting the volumetric water content of the rice canopy, with an R2 of 0.95 and a RMSE of 0.31 kg/m3. The m-χ decomposition produced the highest accuracies for the ear biomass: R2 was 0.89 and RMSE was 0.17 kg/m2. The highest accuracy of leaf area index (LAI) retrieval was obtained for RH (right circular transmit and horizontal linear receive) with an R2 of 0.79 and a RMSE of 0.33. This study illustrated the capability of CP SAR data with respect to retrieval of rice biophysical parameters, especially for height, volumetric water content of the rice canopy, and ear biomass, and this mode may offer the best option for rice-monitoring applications because of swath coverage. View Full-Text
Keywords: compact-polarimetric SAR; rice biophysical parameters retrieval; m-χ/m-δ decomposition; modified water cloud model compact-polarimetric SAR; rice biophysical parameters retrieval; m-χ/m-δ decomposition; modified water cloud model
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Guo, X.; Li, K.; Shao, Y.; Wang, Z.; Li, H.; Yang, Z.; Liu, L.; Wang, S. Inversion of Rice Biophysical Parameters Using Simulated Compact Polarimetric SAR C-Band Data. Sensors 2018, 18, 2271.

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