CERES – A CITIZEN SCIENCE APPROACH MONITORING RESERVOIR OPERATION FROM SPACE FOR POORLY GAUGED RESERVOIRS
| Meeting | VIWC2026 |
| Topic | OS2: Remote Sensing of water and inundation |
| Author | Tien L.T. DU | Hyongki LEE | Duong Du BUI | Son K. DO | Nguyen T. NGOC | Thao T.P BUI | Nuong Thi BUI | Nguyen Thi Thu |
| Organization | Department of Civil and Environmental Engineering, University of Houston, Texas, U.S.A | Department of Civil and Environmental Engineering, University of Houston, Texas, U.S.A | National Center for Water Resources Planning and Investigation at Ministry of MONRE, Vietnam | Department of Civil and Environmental Engineering, University of Houston, Texas, U.S.A | Department of Civil and Environmental Engineering, University of Houston, Texas, U.S.A | Kyoto University | Hanoi University of Natural Resources and Environment (HUNRE) | Hanoi University of Mining and Geology / Advanced Solutions |
| DOI | 2022.1672223196 |
Abstract
Water resources management for sustainable development is highly challenging in the poorly gauged regions. Lack of infrastructure investment, declining monitoring networks or restricted data access due to national security concerns could be main reasons for significantly limited availability and access of the essential water information in these regions. To overcome the main hurdles of hydrology community in data availability and access to reservoir data in the poorly gauged regions, this study creatively employs a well-known citizen science approach to constantly further improve our satellite based reservoir operation monitoring (CERES) tool, enhance end-users’ trust, acceptance and uptake of the tool and consequently support water resources decision making processes for users. Our CERES is a cloud-based interactive web app with freely available datasets for non-commercial uses based on multi-mission satellite datasets, including Sentinel-1 C-band Synthetic Aperture Radar Ground Range Detected (SAR GRD), Shuttle Radar Topography Mission (SRTM) Digital Elevation Models (DEM), Advanced Land Observing Satellite (ALOS) and Multi-Error-Removed Improved-Terrain (MERIT) DEM. Its graphical user interface design allows non-programming users to interact with maps, generate results, evaluate them with provided templates and optionally email performance metrics and figures back to developers for further improvement without granting developers of access to the local observed data.
Keywords: monitoring, remote sensing, citizen science, reservoirs, poorly-gauged
