Executable Science and Applications Traceability Matrix for Earth-observation Missions

ExecSATM is a Python library for representing, evaluating, and executing a Science and Applications Traceability Matrix (SATM) for autonomous Earth-observation missions.

It provides a formal, executable mapping between mission objectives, measurement requirements, observation tasks, and satellite-specific execution costs, enabling quantitative valuation and prioritization of observations in both nominal and event-driven operations.

ExecSATM supports multi-mission-objective science value modeling, attribute-based preference functions, task relevance mapping, and utility-based task evaluation for distributed and autonomous satellite constellations.

Installation

Requires: Unix-like operating system (Linux (Ubuntu, CentOS...), Mac), python >=3.8, pip, make

The installation can be carried out in a conda environment using the below steps.

Note: pip install setuptools is required for Python 3.12 for the distutils package.

1. Create and activate a new conda environment with python. Install pip in the environment.

conda create --name foo python=3.8
conda activate foo
conda install pip

2. Install execsatm library.

make 

2. Optional: Confirm installation.

make runtest

Acknowledgments

This work was supported by the National Aeronautics and Space Administration (NASA) Earth Science Technology Office (ESTO) through the Advanced Information Systems Technology (AIST) Program, and by the Mexican Ministry of Science, Humanities, Technology, and Innovation (SECIHTI) through its Graduate Scholarships for Studies in Science and Humanities Abroad Fellowship.

Contact

Principal Investigator:

• Daniel Selva Valero - dselva@tamu.edu

Lead Developers:

• Alan Aguilar Jaramillo - aguilaraj15@tamu.edu