Pedro Cabral is a Full Professor and Longshan Scholar at Nanjing University of Information Science and Technology (NUIST), China, and holds a permanent position as Associate Professor with Habilitation at NOVA Information Management School, Universidade Nova de Lisboa, Portugal. He obtained a PhD in Mathematics Applied to the Social Sciences from the École des Hautes Études en Sciences Sociales (EHESS), Paris, France, and completed postdoctoral research at UMR AMURE (IFREMER–University of Western Brittany), focusing on marine and terrestrial ecosystem services.

His research lies at the intersection of Earth Observation, geospatial artificial intelligence (GeoAI), spatial data science, environmental modelling, and sustainability science. His recent work focuses on ecosystem productivity, climate impacts, ecosystem resilience, environmental monitoring, explainable artificial intelligence, and the integration of satellite Earth observation data with advanced analytical methods for understanding complex environmental systems.

Professor Cabral has authored more than 130 peer-reviewed publications and has been recognized among the Stanford/Elsevier World’s Top 2% Scientists in multiple years. His research has been published in leading international journals, including Nature Communications, International Journal of Applied Earth Observation and Geoinformation, Ecosystem Services, Journal of Cleaner Production, Science of the Total Environment, Applied Geography, and Journal of Environmental Management.

He currently teaches Observing Earth from Space and Introduction to Earth System Science at the doctoral level. He serves as Associate Editor of the Journal of Urban Planning and Development (ASCE), and serves on the editorial boards of Discover Data and Geographies. He is also an evaluator for major international research funding programmes and a member of scientific committees for leading international conferences in geospatial science, remote sensing, and environmental research.