Exploring Satellite Foundation Models and Machine Learning for Health: Day Three of AI Track is Interactive

Yogyakarta, June 25, 2025 — The Summer School Track AI activities at Alana Hotel Yogyakarta continue with high enthusiasm. Entering its third day, the session titled “Satellite FM Day 3” featured two speakers who guided participants in exploring foundation models for satellite imagery and the application of data mining in the healthcare sector.

The first session was led by Swapnil Mishra, who invited participants to learn about and directly experiment with SatlasPretrain, a foundation model designed for satellite imagery analysis. Through two Python-based case studies, participants practiced land use and land cover classification using the Sentinel-2 dataset from EuroSAT, as well as classification tasks with the UCMerced dataset using the torchgeo library. This simulation provided practical understanding of how satellite data can be used to map geographical patterns efficiently and accurately.

The subsequent session was continued by Myat Su Ming, who introduced the Orange Data Mining platform. Orange offers a visual approach that simplifies data analysis and machine learning model training without the need for coding. Participants built interactive workflows to load, display, and analyze data directly, including initial exploration of its potential use in the context of healthcare data.

Both sessions also served as an important introduction to the participants’ project development. Based on papers reviewed since the previous day, participants were guided to explore real-world datasets related to infectious diseases such as HIV, monkeypox, and other health topics. With this approach, participants will design analysis pipelines using foundation models, then train models with algorithms such as neural networks, random forest, and other methods as needed by the data.

This third day’s activities affirmed the interdisciplinary spirit of the Summer School Track AI, combining the power of satellite data, machine learning techniques, and challenges in the healthcare world. Through a practical and collaborative approach, participants are not only equipped with technical knowledge but also guided to design solutions that have a positive impact on society.

Keywords: MIDSEA, Modelling, Infectious Diseases Modelling
Author: Chyntia Meininda Anjanni
Photos: Lucetta Amarakamini