Surface Water Volume Estimation

Description:

This technology leverages multispectral Sentinel-2 bands combined with lidar data to accurately classify water bodies and calculate their volumes. By employing spectral classification and removing non-water points via lidar, the system precisely delineates water surfaces, which are then used in a spherical cap geometric model to estimate water volume. Initially applied in Austin, Texas, this approach enhances water resource management through improved volume estimation accuracy.

Key Advantages:

• Accurate water volume estimation through combined spectral and lidar data analysis.
• Improved classification of water bodies by removing non-water points.
• Use of geometric modeling (spherical cap) for precise volume calculations.
• Scalable method adaptable to different geographic regions.
• Supports effective water resource management and planning.

Problems Solved:

• Inaccurate or insufficient surface water volume data.
• Challenges in distinguishing water bodies from surrounding terrain using satellite imagery alone.
• Lack of scalable and cost-effective remote sensing methods for water volume estimation.
• Difficulties in supporting water management decisions with reliable spatial data.

Market Applications:

• Water resource management agencies and authorities.
• Environmental monitoring organizations.
• Companies manufacturing water management technologies.
• Governmental and municipal bodies responsible for hydrological planning.
• Organizations such as the Lower Colorado River Authority (LCRA) for regional water monitoring.