PING Mapper Python Programming Services

The United States Geological Survey is seeking software programming services to modify the PING Mapper Python source code, integrate auxiliary high-resolution GPS data, and perform change-detection analysis. This project addresses agency research objectives regarding the fate of reservoir sediments and their effects on benthic substrates and ecological habitats in downstream river environments. The agency requires these modifications to improve sonogram georeferencing and automate substrate classification processes. The selected contractor must modify the PINGMapper source code to compute per-patch confidence scores directly from model outputs, summarize per-patch multi-class statistics, and set low-confidence patches to unknown to minimize false positives in coarse-grained rivers. Additionally, the contractor must update the code to accept auxiliary high-resolution CSV GPS data, match these GPS points to sonar recordings via timestamps while accounting for clock offsets, and integrate this new data source into subsequent geoprocessing workflows. Finally, the contractor must batch-process existing sonar recordings from seventy-five sites across three years, export optimized substrate maps into a compressed file geodatabase, curate a final data release package with an accuracy assessment, and provide supporting information for a manuscript. Only onshore organizations based in the United States are eligible to bid on this opportunity. The contractor will perform all work offsite and must submit proposals digitally via email or online. The agency is currently looking for proposals to establish the budget, and specific key dates are not detailed in the solicitation.