Modelling Water Depth, Turbidity and Chlorophyll Using Airborne Hyperspectral Remote Sensing in a Restored Pond Complex of Doñana National Park (Spain)

Airborne hyperspectral remote sensing emerges as a powerful tool for monitoring restored wetlands, offering precise mapping of water depth, turbidity, and chlorophyll concentrations. A study in Doñana National Park demonstrated that the CASI-1500 sensor could detect significant spatial variations between experimental ponds, even after restoration efforts. These differences suggest high ecological diversity, underscoring the potential of hyperspectral technology for long-term wetland monitoring. The approach combines high-resolution imaging with spectral analysis to provide cost-effective and scalable solutions for assessing restoration success in Mediterranean wetlands and beyond.

Coccia, C., Pintado, E., Paredes, Á. L., Aragonés, D., O’Ryan, D. C., Green, A. J., Bustamante, J., & Díaz-Delgado, R. (2024). Modelling Water Depth, Turbidity and Chlorophyll Using Airborne Hyperspectral Remote Sensing in a Restored Pond Complex of Doñana National Park (Spain). Remote Sensing, 16(16), 2996. https://doi.org/10.3390/rs16162996