In-season biomass estimation of oilseed rape (Brassica napus L.) using fully polarimetric SAR imagery

Abstract

Accurate estimation of crop biophysical and biochemical parameters during crop growing seasons is essential for improving site-specific management and yield estimation. The potential ability of fully polarimetric synthetic aperture radar (SAR) data in estimating above-ground biomass of oilseed rape was investigated in this study. The temporal profile of different scattering intensity and polarimetric features during the entire growing season was identified with ground measurements. A polarimetric feature, relying on the polarimetric decomposition method, was put forward to estimate the biomass of oilseed rape. Validation results revealed great potential with a determination coefficient (R²) of 0.85, root mean squared error (RMSE) of 41.6 g/m², and relative error (RE) of 28.5% for dry biomass, and an R² of 0.76, RMSE of 527.4 g/m² and RE of 28.6% for fresh biomass. Moreover, the use of full polarization SAR data was compared with single and dual polarization SAR data. The results suggest that when full polarization SAR data is available, a simpler model, higher saturation point and better accuracy can be achieved in biomass estimation of oilseed rape, which highlights the importance and value of polarimetry information in quantitative crop monitoring. This study provides guidelines for in-season monitoring of crop growth parameters with SAR data, which further improves crop monitoring capability in adverse weather conditions.

Plant phenotyping relevance

SAR画像と偏波分解特徴量を用いて油料菜種の地上部バイオマスを推定する手法を提案し、検証・比較しており、植物形質取得が研究の中心です。

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