Joint Analysis of Optical and SAR Vegetation Indices for Vineyard Monitoring: Assessing Biomass Dynamics and Phenological Stages over Po Valley, Italy
This research addresses the challenge of sustainable vineyard management for agricultural stakeholders by providing incremental insights into remote sensing techniques.
This study tackled the problem of monitoring vineyard crops by combining dual-polarimetric radar vegetation index (DpRVI) with optical indices for the first time, revealing that DpRVI shows a parabolic trend over the growing season and is more directly related to biomass dynamics than optical indices, with low correlation indicating complementary information.
Multi-polarized Synthetic Aperture Radar (SAR) technology has gained increasing attention in agriculture, offering unique capabilities for monitoring vegetation dynamics thanks to its all-weather, day-and-night operation and high revisit frequency. This study presents, for the first time, a comprehensive analysis combining dual-polarimetric radar vegetation index (DpRVI) with optical indices to characterize vineyard crops. Vineyards exhibit distinct non-isotropic scattering behavior due to their pronounced row orientation, making them particularly challenging and interesting targets for remote sensing. The research further investigates the relationship between DpRVI and optical vegetation indices, demonstrating the complementary nature of their information. We demonstrate that DpRVI and optical indices provide complementary information, with low correlation suggesting that they capture distinct vineyard features. Key findings reveal a parabolic trend in DpRVI over the growing season, potentially linked to biomass dynamics estimated via the Winkler Index. Unlike optical indices reflecting vegetation greenness, DpRVI appears more directly related to biomass growth, aligning with specific phenological phases. Preliminary results also highlight the potential of DpRVI for distinguishing vineyards from other crops. This research aligns with the objectives of the PNRR-NODES project, which promotes nature-based solutions (NbS) for sustainable vineyard management. The application of DpRVI for monitoring vineyards is part of integrating remote sensing techniques into the broader field of strategies for climate-related change adaptation and risk reduction, emphasizing the role of innovative SAR-based monitoring in sustainable agriculture.