This project proposes a novel client-side GPGPU (General Purpose Graphical Processing Unit) algorithm to analyze high-resolution terrain data for watershed delineation which allows parallelization using GPU. The web-based real-time analysis of watershed segmentation can be helpful for decisionmakers and interested stakeholders while eliminating the need of installing complex software packages and dealing with large-scale data sets. Utilization of the client-side hardware resources also eliminates the need of servers due its crowdsourcing nature. Our goal for future work is to improve other hydrologic analysis methods such as rain flow tracking by adapting presented approaches.
Related Articles
- Sit, M., Sermet, Y. and Demir, I., 2019. Optimized watershed delineation library for server-side and client-side web applications. Open Geospatial Data, Software and Standards, 4(1), p.8. (DOI: https://doi.org/10.1186/s40965-019-0068-9)
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