RECLAIM
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**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
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If you use RECLAIM in your work, please cite:

.. epigraph::
    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)*.