Are the C-band backscattering coefficient and interferometric coherence suitable substitutes of NDVI for the monitoring of the FAO-56 crop coefficient?
Ouaadi, Nadia ; Jarlan, Lionel ; Khabba, Saïd ; Le Page, Michel ; Chakir, Adnane ; Er-Raki, Salah ; Frison, Pierre-Louis
Rationalizing the use of agricultural water is a key issue in semi-arid areas that face more and more water shortages while food security is already threatened by the increasing population. The FAO-56 approach has been developed to estimate the crop water requirement. It relies on an accurate estimation of the 'basal crop coefficient' Kcb-act that has been shown to be closely related to NDVI. Nevertheless, optical data can be inoperant in case of persistent cloud cover. Within this context, the objective of this study is to assess the potentiality of the all-weather C-band Sentinel-1 radar observations available with 6-day revisit time at the field scale. To this end, the empirical relationships between Kcb-act, on one hand, and the interferometric coherence at VV (ρvv) and VH (ρvh) polarizations and the polarization ratio, on the other hand, were assessed on two wheat fields during two crop seasons and compared to the classical Kcb-act-NDVI method. It is demonstrated that while good statistical metrics are obviously obtained between Kcb-act and NDVI derived from Sentinel-2 (R = 0.77/0.88 and RMSE = 0.14/0.15 for Field 1/Field 2), close results are highlighted with radar data. The best metrics are found with ρvv: R = 0.76 and 0.77 and RMSE = 0.18 and 0.28 for Field 1 and Field 2, respectively. Using the calibrated relationships on one season of Field 1, reasonable estimates of ETc-act was found on Field 1 (R = 0.70, RMSE = 0.75 mm/day and bias = −0.18 mm/days using Kcb-act-ρvv). By contrast, a significant overestimations is highlighted both with ρvv (bias = 0.73 mm/day) and NDVI (bias = 1.46 mm/day) over Field 2. Interestingly, the Kcb-act-ρvv relationship is more consistent in the estimation of ETc-act when changing from one plot to another. These outcomes open new perspectives for the estimation of ETc-act from radar data as a potential substitute of NDVI in case of persistent cloud cover.</p>
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