RIVER Lab Remote Sensing, Informatics & Visualization for Earth Resources · IIT Bombay

We are a research group at the Centre of Studies in Resources Engineering (CSRE), IIT Bombay. We develop satellite remote sensing methods and open-source computational tools to monitor, model, and forecast the dynamics of rivers and reservoirs across the globe – with a focus on regions where ground data is scarce.

Research Themes

Global Reservoir Dynamics from Space

Global Reservoir Dynamics from Space

We use multi-satellite observations – optical, SAR, and radar altimetry – to track surface water storage dynamics of reservoirs worldwide. Our work integrates the recently launched SWOT mission with legacy sensors to push the frontier of reservoir monitoring accuracy and frequency.

Regulated River Hydrology Open Software

Regulated River Hydrology & Open Software

We build satellite-driven frameworks – RAT, ResORR – to model how dams and reservoirs regulate downstream river flow. Our methods work without in-situ gauge data and are validated across transboundary river basins in South and Southeast Asia.

Forecast-Informed Water Management

Forecast-Informed Water Management

We explore how weather forecast products can be coupled with satellite-based reservoir tracking to enable forecast-informed dam operations – with particular focus on flood-risk reduction in hydropower-dominated, data-sparse river basins.

Selected Publications

Multi Satellite Tracking of Surface Water Storage Change in the Era of Surface Water and Ocean Topography SWOT Satellite Mission
Multi‐Satellite Tracking of Surface Water Storage Change in the Era of Surface Water and Ocean Topography (SWOT) Satellite Mission
Pritam Das, Faisal Hossain
Earth and Space Science  ·  01 Jun 2025  ·  doi:10.1029/2024EA004178
Evaluates SWOT’s capability to estimate reservoir storage dynamics. SWOT shows near-order-of-magnitude improvement in elevation RMSE over pre-SWOT approaches.
Forecast-Informed Reservoir Operations within a Satellite-Based Framework for Mountainous and High-Precipitation Regions: Case of the 2018 Kerala Floods
Forecast-Informed Reservoir Operations within a Satellite-Based Framework for Mountainous and High-Precipitation Regions: Case of the 2018 Kerala Floods
Pritam Das, Sarath Suresh, Faisal Hossain, Vivek Balakrishnan, Pallipadan Johny Jainet, Hyongki Lee, Miguel Laverde, Kamal Hosen, Chinaporn Meechaiya, Peeranan Towashiraporn
Journal of Hydrologic Engineering  ·  01 Apr 2025  ·  doi:10.1061/JHYEFF.HEENG-6276
Explores forecast-informed reservoir operations in mountainous, ungauged basins using GEFS precipitation forecasts and the fully satellite-based RAT framework, with application to the 2018 Kerala floods.
ResORR: A globally scalable and satellite data-driven algorithm for river flow regulation due to reservoir operations
ResORR: A globally scalable and satellite data-driven algorithm for river flow regulation due to reservoir operations
Pritam Das, Faisal Hossain, Sanchit Minocha, Sarath Suresh, George K. Darkwah, Hyongki Lee, Konstantinos Andreadis, Miguel Laverde-Barajas, Perry Oddo
Environmental Modelling & Software  ·  01 May 2024  ·  doi:10.1016/j.envsoft.2024.106026
ResORR: a globally scalable satellite-driven algorithm for modelling regulated river flow due to upstream reservoir operations, validated on the Cumberland River Basin (USA).

Latest News

2026

Maitra Tiwari joins the RIVER Lab as summer intern

Mr. Maitra Tiwari, a student of the Dept. of Electrical Engineering, NIT Raipur, joins the RIVER Lab. His work will focus on evaluating the performance of LSTMs for predicting streamflow.

2025

Shanta Panja joins RIVER Lab as a PhD student

We welcome Shanta Panja to the RIVER Lab! Shanta joins us as a PhD student and will be investigating the estimation of groundwater seepage from reservoirs using satellite observables.

Pritam Das joins CSRE, IIT Bombay as Assistant Professor

We are officially launching RIVER Lab at the Centre of Studies in Resources Engineering (CSRE), IIT Bombay. The lab will focus on satellite remote sensing of water bodies, regulated river hydrology, and open-source hydrological software. Positions for PhD students and research associates are open – see the Join page for details.

New paper on SWOT reservoir monitoring published in Earth and Space Science

Our paper on multi-satellite tracking of surface water storage in the SWOT era is now published in Earth and Space Science. We show that SWOT achieves near-order-of-magnitude improvement in elevation RMSE over pre-SWOT approaches for reservoir storage estimation.

Paper on forecast-informed reservoir operations published in Journal of Hydrologic Engineering

Our paper exploring forecast-informed dam operations in ungauged mountainous basins using GEFS and the RAT satellite framework is now published in Journal of Hydrologic Engineering (ASCE). We apply the framework to the 2018 Kerala floods as a globally representative test case.

RAT published as a Python package in Digital Water

The Reservoir Assessment Tool (RAT) is now available as a conda-installable Python package with a command-line interface, CI/CD pipeline, and full documentation at ratdocs.io. The paper describing the package is published in Digital Water.

Affiliation

RIVER Lab is part of the Centre of Studies in Resources Engineering at the Indian Institute of Technology Bombay, Mumbai, India.