Tracking crop phenological development using multi-temporal polarimetric Radarsat-2 data

Citation

Canisius, F., Shang, J., Liu, J., Huang, X., Ma, B., Jiao, X., Geng, X., Kovacs, J.M., Walters, D. (2018). Tracking crop phenological development using multi-temporal polarimetric Radarsat-2 data. Remote Sensing of Environment, [online] 210 508-518. http://dx.doi.org/10.1016/j.rse.2017.07.031

Plain language summary

Information on crop phenological development stages is essential for crop production surveillance and yield prediction. Frequent remote sensing observation is required to map spatial and temporal variability of crop phenology over a region, and synthetic aperture radar (SAR) provides a desirable tool for this purpose because data acquisition is not impacted by cloud. In this study, phenological metrics of canola and spring wheat are related with temporal evolution of polarimetric variables derived the Canadian RADARSAT-2 data. Study in three consecutive years from 2012 to 2014 at an experimental site in northern Ontario shows that, strong correlation exists between plant height and the Alpha angle, and between effective leaf area index and the Beta angle derived from the Cloude-Pottier decomposition. The combination of the Alpha and the Beta angles has a strong correlation with days-after-seeding of the two crops, thus could be exploited to track crop phenological development stages.

Abstract

Information on crop phenological development stages such as emergence, flowering, fruiting, maturing and senescence is essential for crop production surveillance and yield prediction. It has long been related to optical spectral signatures such as the Normalized Difference Vegetation Index (NDVI) or spectral shifts in the red-edge range. In recent years, more efforts have been made to explore the sensitivity of Synthetic Aperture Radar (SAR), particularly polarimetric SAR signatures, to crop biophysical parameters or phenological stages. In this study, phenological metrics of canola (Brassica napus) and spring wheat (Triticum spp.) are related with temporal evolution of polarimetric SAR parameters derived from the C-band RADARSAT-2 full polarimetric SAR data. Both crops are very common in north eastern Ontario, Canada, but have very anatomically different development processes. From multi-temporal RADARSAT-2 data acquired in three consecutive years (2012–2014), significant correlations were observed between a number of SAR polarimetric parameters and the growth parameters of both crops. Strong correlation was observed between plant height and the Alpha angle of the Cloude-Pottier decomposition, with the R2 of 0.91 and 0.66 for canola and wheat, respectively. The R2 increased when the polarimetric parameters were smoothed in the time domain (R2 of 0.98 for canola and 0.88 for wheat). Strong correlation was also observed for the two crops between the effective leaf area index (LAIe) and the Beta angle, and between days-after-seeding (DAS) and a combination of the Alpha and the Beta angles. These findings show that multi-temporal C-band polarimetric SAR parameters could be used for tracking crop phenological development stages.

Publication date

2018-06-01

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