Treffer: Geodata-Harvester: A Python package to jumpstart geospatial data extraction and analysis

Geodata-Harvester is a user-friendly Python package that enables researchers with reusable workflows and software tools for automatic extraction, processing, and analysis of geo-spatial and environmental data. User provided data is auto-completed with a suitable set of spatial- and temporal-aligned covariates as a ready-made dataset for machine learning models. All data layer maps are automatically extracted and aligned for a specific region and time period. The Geodata-Harvester is designed to be modular and extensible, offering multiple front-end notebooks and use case scenarios to encourage interaction and experimentation with the pipeline. With its connectivity support to the Google Earth Engine (GEE) API and integrating the latest GEE add-ons, the software also enables users to perform petabyte-scale operations, including temporal cloud/shadow masking and automatic calculation of spectral indices.