IPSTERS - IPSentinel Terrestrial Enhanced Recognition System (IPSTERS), 2019

IPSTERS - IPSentinel Terrestrial Enhanced Recognition System (IPSTERS)

The IPSTERS project, "IPSentinel Terrestrial Enhanced Recognition System," aims to advance the processing and application of Earth Observation (EO) data in Portugal. Leveraging the IPSentinel infrastructure—developed by the Directorate-General for Territory (DGT) and the Portuguese Institute for Sea and Atmosphere (IPMA)—which stores and provides Sentinel satellite imagery covering Portuguese territories, the project focuses on developing artificial intelligence (AI) algorithms to efficiently process large volumes of remotely sensed data. The primary objective is to produce Level-3 products for land applications with minimal human intervention, thereby enhancing environmental monitoring, business strategies, and policy-making processes.

This project was coordinated by UNINOVA–Institute for the Development of New Technologies, in partnership with NOVA IMS and the Directorate-General for Territory.

As a key partner in the IPSTERS project, MagUC contributed its expertise in data science and AI to develop and implement advanced algorithms for processing Sentinel satellite data. The team explored AI approaches, including active learning techniques and fuzzy logic, to automate the analysis of extensive EO datasets. This collaboration aimed to create efficient, scalable solutions for land monitoring applications, thereby supporting informed decision-making in environmental management and territorial planning.

• Funding Programme: FCT, I.P. - Scientific Research and Technological Development Projects in Data Science and Artificial Intelligence in Public Administration
• Funding to NOVA IMS: 44 450,00 € 
• Duration: 2019 - 2021
• Website: https://www.dgterritorio.gov.pt/investigacao/projetos/IPSTERS