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

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    Author
    He, Ze; Li, Shihua; Wang, Yong; Hu, Yueming; Chen, Feixiang
    Abstract
    C-band polarimetric synthetic aperture radar (PolSAR) data has been previously explored for estimating the leaf area index (LAI) of rice. Although the rice-growing cycle was partially covered in most 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 evaluates the potential of a set of polarimetric parameters derived from multi-temporal RADARSAT-2 datasets for rice LAI estimation. The relationships of rice LAI with backscattering coefficients and polarimetric decomposition parameters have been examined in a complete phenological cycle. Most polarimetric parameters had weak relationships (R2 < 0.30) with LAI at the transplanting, reproductive, and maturity phase. Stronger relationships (R2 > 0.50) were observed at the vegetative phase. HV/VV and RVIFD had significant relationships (R2 > 0.80) with rice LAI for the whole growth period. They were 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 the decomposition parameters for rice LAI estimation. The HV/VV-based model had a slightly lower estimation accuracy (RMSE = 1.29) but can be a practical alternative considering the wide availability of dual-polarized datasets.
    URI
    http://hdl.handle.net/10342/7939
    Subject
    rice; leaf area index (LAI); polarimetric synthetic aperture radar (PolSAR); RADARSAT-2; polarimetric decomposition
    Date
    2019-11-12
    Citation:
    APA:
    He, Ze, & Li, Shihua, & Wang, Yong, & Hu, Yueming, & Chen, Feixiang. (November 2019). Assessment of Leaf Area Index of Rice for a Growing Cycle Using Multi-Temporal C-Band PolSAR Datasets. Remote Sensing, (11:22), p.2640. Retrieved from http://hdl.handle.net/10342/7939

    Display/Hide MLA, Chicago and APA citation formats.

    MLA:
    He, Ze, and Li, Shihua, and Wang, Yong, and Hu, Yueming, and Chen, Feixiang. "Assessment of Leaf Area Index of Rice for a Growing Cycle Using Multi-Temporal C-Band PolSAR Datasets". Remote Sensing. 11:22. (2640.), November 2019. April 19, 2021. http://hdl.handle.net/10342/7939.
    Chicago:
    He, Ze and Li, Shihua and Wang, Yong and Hu, Yueming and Chen, Feixiang, "Assessment of Leaf Area Index of Rice for a Growing Cycle Using Multi-Temporal C-Band PolSAR Datasets," Remote Sensing 11, no. 22 (November 2019), http://hdl.handle.net/10342/7939 (accessed April 19, 2021).
    AMA:
    He, Ze, Li, Shihua, Wang, Yong, Hu, Yueming, Chen, Feixiang. Assessment of Leaf Area Index of Rice for a Growing Cycle Using Multi-Temporal C-Band PolSAR Datasets. Remote Sensing. November 2019; 11(22) 2640. http://hdl.handle.net/10342/7939. Accessed April 19, 2021.
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