RECLAIM

First-of-its-kind globally scalable tool to predict reservoir sedimentation, screen vulnerable reservoirs, and pinpoint those struggling the most.

RECLAIM (Reservoir Estimation of Capacity Loss using AI-based Methods) is a globally scalable machine learning framework for predicting absolute sedimentation rates in reservoirs. It integrates observed records with multi-decadal Earth observations from satellites to provide:

• Rapid assessment of sedimentation risk

• Scalable predictions across diverse climates and geographies

• Cost-effective screening to prioritize reservoirs for detailed surveys

• Decision support for planning mitigation interventions where they are most urgently needed

Note

RECLAIM is designed as a screening tool — not a replacement for detailed field surveys, but a way to guide where and when to act first.

Citation

If you use RECLAIM in your work, please cite:

Minocha, S., Hossain, F., Zhao, J., & Istanbulluoglu, E. RECLAIM: A Globally Scalable Machine Learning Framework to Predict Reservoir Sedimentation and Capacity Loss from Satellite-based Earth Observations. Submitted to Environmental Modelling and Software (EMS).