ABSTRACT:

This HydroShare resource archives a reproducible geospatial data processing pipeline designed for hydrologic and geomorphic analysis and modeling. The workflow standardizes heterogeneous raster datasets from sources such as OpenTopography, USDA soil databases, NLCD, MTBS, and satellite platforms including Landsat and MODIS into spatially aligned, modeling-ready grids. Input layers include digital elevation models, soil properties, burn severity, land cover, and satellite-derived ecohydrologic indicators. The pipeline performs coordinate reference system harmonization, resolution enforcement, raster resampling, grid alignment, and export to analysis-ready formats suitable for hydrologic and geomorphic modeling, feature engineering, and machine learning workflows. While example outputs demonstrate integration with terrain–hydrology simulations and landslide probability assessment, the primary contribution of this resource is the reproducible raster harmonization framework. The workflow is broadly applicable to watershed analysis, landscape evolution studies, hydro-geomorphic process modeling, and other geospatial preprocessing tasks requiring consistent spatial alignment and physically interpretable feature derivation.