TerraFlow: A Reproducible Workflow for Geospatial Agricultural Modeling
Abstract
TerraFlow is an open-source Python library designed to simplify reproducible geospatial workflows in agriculture and environmental data science. It provides a modular pipeline for loading raster datasets, clipping them to a region of interest (ROI), merging them with climate data, computing cell-level suitability scores, and exporting results for interpretation and visualization. Many agricultural modeling projects require similar preparatory workflows but re-implement them ad hoc, leading to inconsistent, hard-to-reproduce results. TerraFlow provides a minimal, tested, configuration-driven pipeline that enables users to execute geospatial workflows consistently across environments.
Fields of Study & Subjects
Scientific Computing and Data Management
Soil and Land Suitability Analysis
Computational Physics and Python Applications
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 5 February 2026
- Language
- EN
- Document type
- Book