Assessment of Leaf Area Index of Rice for a Growing Cycle Using Multi-Temporal C-Band PolSAR Datasets

ECU Author/Contributor (non-ECU co-authors, if there are any, appear on document)

Ze,Li,Shihua,Wang,Yong,Hu,Yueming,Chen,Feixiang He (Creator)

Institution

East Carolina University (ECU )

Web Site: http://www.ecu.edu/lib/

Abstract: C-band polarimetric synthetic aperture radar (PolSAR) data has been previously exploredfor estimating the leaf area index (LAI) of rice. Although the rice-growing cycle was partially covered inmost of the studies, details for each phenological phase need to be further characterized. Additionally,the selection and exploration of polarimetric parameters are not comprehensive. This study evaluatesthe potential of a set of polarimetric parameters derived from multi-temporal RADARSAT-2 datasetsfor rice LAI estimation. The relationships of rice LAI with backscattering coefficients and polarimetricdecomposition parameters have been examined in a complete phenological cycle. Most polarimetricparameters had weak relationships (R2 < 0.30) with LAI at the transplanting, reproductive, andmaturity phase. Stronger relationships (R2 > 0.50) were observed at the vegetative phase. HV/VVand RVIFD had significant relationships (R2 > 0.80) with rice LAI for the whole growth period. Theywere utilized to develop empirical models. The best LAI inversion performance (RMSE = 0.81)was obtained when RVIFD was used. The acceptable error demonstrated the possibility to use thedecomposition parameters for rice LAI estimation. The HV/VV-based model had a slightly lowerestimation accuracy (RMSE = 1.29) but can be a practical alternative considering the wide availabilityof dual-polarized datasets.

Additional Information

Publication

Other

Language: English

Date: 2019

Keywords

rice; leaf area index (LAI); polarimetric synthetic aperture radar (PolSAR); RADARSAT-2; polarimetric decomposition

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