HydroShare is a Django-based web application for sharing, managing, and publishing hydrologic data and models. It provides a rich resource management system with support for various file types (NetCDF, GeoTIFF, timeseries, etc.), fine-grained access control (groups, communities, privileges), metadata extraction, and discovery via a Vue.js frontend. The system uses PostgreSQL, Redis, Celery, MinIO (S3-compatible storage), and MongoDB for indexing. It exposes REST APIs for programmatic access and includes background tasks for bag creation, metadata extraction, and DOI registration. While primarily an application, it incorporates data engineering patterns for scientific metadata handling and file type aggregation.
This repository provides the `lidar` Python package, a specialized library for hydrological depression analysis of high-resolution topographic data, particularly LiDAR-derived DEMs. Its core functionality includes DEM smoothing (mean, median, Gaussian filters), sink extraction, and a novel level-set algorithm for delineating nested depression hierarchy, yielding topological and geometric properties (size, volume, depth, perimeter). The package is designed as a reusable library with a CLI (`lidar` command), a PySimpleGUI-based graphical interface, and integration with ArcGIS via a dedicated toolbox. It also includes Jupyter notebooks for tutorial and research workflows, demonstrating the complete analysis pipeline. The project is research-grade, backed by peer-reviewed publications, and follows a modular architecture with separate modules for filtering, filling, slicing, and mounts. However, some dependencies (GDAL, arcpy) and Python version constraints introduce moderate technical drift risk.