Manuel Fernández UrrutiaIrish Centre for High-End Computing | ICHEC · Earth Observation
Manuel Fernández Urrutia
GIS Computational Scientist at Irish Center for High End Computing (ICHEC), National University of Ireland Galway(NUIG)
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Rice is a staple food that feeds nearly half of the world’s population. With the population of our planet expected to keep growing, it is crucial to carry out accurate mapping, monitoring, and assessments since these could significantly impact food security, climate change, spatial planning, and land management. Using the PRISMA systematic review p...
Google Earth Engine App: https://manuferu.users.earthengine.app/view/forestaz |||| Open Source Code available at GitHub: https://github.com/Manuferu/ForestAZ |||| Original article based at https://revistas.inia.es/index.php/fs/article/view/18929 |||| Full citation: Fernández-Urrutia M., & Gil A. (2022). Resource Communication: ForestAz - Using Goog...
The ESA-funded AIREO project  sets out to produce AI-ready training dataset specifications and best practices to support the training and development of machine learning models on Earth Observation (EO) data. While the quality and quantity of EO data has increased drastically over the past decades, availability of training data for machine learn...
Abstract. A remote sensing-based operational tool using Sentinel-2 and Landsat-8 free and open access satellite multispectral data, and based on the Google Earth Engine (GEE) platform, is under development for monitoring land-cover/land-use changes in the Azores Islands Natural Park. Citation: Gil A., Fernández-Urrutia M., Tiago F., & Borges-Tiag...
The Azorean Regional Forest Inventory constitutes the core tool for forest planning and management and also the most accurate and reliable official Land Use / Land Cover map in the Azores Autonomous Region (Portugal), being widely used by local and regional authorities for supporting both spatial planning and forestry policies purposes. The curren...