TerraFlow: A Reproducible Workflow for Geospatial Agricultural Modeling

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Authors: Gnaneswara Marupilla, Chandhini Bayina
Cited by: 0

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