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| Created: | Jan 18, 2026 at 8:23 p.m. (UTC) | |
| Last updated: | May 01, 2026 at 5:26 p.m. (UTC) | |
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Abstract
The River Integrated Observations for Fire-Impacted Network Discovery and Evaluation in R (RIO-FINDER), an open-source framework and application that links four decades of wildfire data with high-resolution hydrologic observations across the coterminous United States (CONUS). We integrate fire data from the Monitoring Trends in Burn Severity (MTBS) and high-resolution hydrology observations from the US Geological Survey’s National Water Information System (NWIS) through the National Hydrography Dataset Plus (NHDPlus) stream network. This application utilizes the Shiny R package to create an interactive application for visualizing, querying, and exporting custom subsets of the larger dataset. It also features a standalone tool for on-demand assessments of newly burned watersheds, requiring only a user-supplied fire perimeter shapefile.
RIO-FINDER lowers the barrier to discovering existing water quantity and quality datasets of fire-impacted rivers in the conterminous US, supporting the design of targeted pre- and post-fire monitoring campaigns and a timely understanding of fire impacts on fluvial networks at large spatiotemporal scales.
The repository contains the RIOFINDER application and the accompanying datasets for the CONUS scale dataset of fire-river intersections, and the script used for completing single-fire RAPID analysis. The README file contains the instructions for installing R and RStudio and how to run R scripts for both applications.
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This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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