EOSpython Version 0.0.11: A Framework for Scenario Generation and a Solution System for the Agile Earth Observation Satellite Scheduling Problem

TL;DR

EOSpython is a comprehensive Python package that streamlines earth observation satellite scheduling by integrating scenario generation, problem setup, solution approaches, and visualization in a centralized system.

Contribution

It introduces a flexible framework for scenario generation and satellite scheduling, facilitating easy configuration and integration of various solution methods.

Findings

Enables efficient satellite scheduling workflows

Supports customization of scheduling parameters

Provides visualization tools for decision analysis

Abstract

EOSpython is a PyPI published Python package that encompass everything within a centralized earth observation satellite scheduling system in terms of customer database setup, scenario generation, pre-processing, problem setup, scheduling solution approach, decision maker preference integration, and visualization. The package is tailored to easily configure internal parameters and contribute with other solution approaches.