Amelia Fernández-Rodríguez is a Geospatial Data Engineer with 5 years of experience. She holds a BSc in Telecommunications Systems Engineering and an MSc in Telecommunications Engineering from the Polytechnic University of Cartagena (Spain). She has a strong technical background in data systems, remote sensing, and geospatial information processing, with a professional focus on applying Earth Observation and spatial analytics to climate- and water-related decision-making contexts.

During her academic and professional career, she has specialised in the use of satellite data, geospatial analysis, and spatial modelling to address challenges related to climate change, water resources management, and risk-informed planning. Her work includes the development and application of geospatial tools and workflows that translate complex, multi-source datasets into actionable information for forecasting, monitoring, and decision-support systems.

In addition to her technical expertise, Amelia has substantial experience in capacity building and knowledge transfer. She has designed and delivered technical training programmes on remote sensing and geospatial analysis in countries including Zambia and Pakistan, collaborating with international organisations such as NUFFIC (Netherlands) and the Food and Agriculture Organization of the United Nations (FAO). Her experience working with public institutions and international stakeholders enables her to effectively bridge advanced geospatial technologies with operational needs at national and sub-national levels.

Related projects

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  Pakistan

  I-DIP: Monitoring, Forecasting and Tackling Flash Droughts in Pakistan

  Regions in Pakistan are increasingly exposed to flash droughts – sudden dry spells that develop within weeks and severely impact crops and livelihoods. To strengthen resilience, FutureWater and WaterSprint, in partnership with the National Drought Monitoring Centre (NDMC) and the Better Cotton Initiative, are piloting I-DIP in two vulnerable districts:Bahawalpur...

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  Nepal

  Smart Sprayer: Efficient Terrace Irrigation in Nepal

  The project introduces the Smart Sprayer package, an integrated solution that combines: 1) A low-cost, gravity-fed micro-pivot irrigation system (the Sprayer), designed to function under very low water pressure and flow—ideal for hilly terrain and remote farms. 2) A mobile-based Smart Irrigation Tool that sends farmers daily, crop-specific irrigation recommendations...

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  Somalia Somaliland

  Drought Forecasting Model for Somalia/Somaliland

  This project aims to strengthen drought preparedness and response in Somalia and Somaliland by enhancing the technical and operational capacities of the Somali Disaster Management Agency (SODMA) and Somaliland’s National Disaster Preparedness and Food Reserve Authority (NADFOR). Led by the World Food Programme (WFP), FutureWater and Galayr will work on...

• 
  Egypt

  BUCRA: Building Unity for Climate Resilient Agriculture

  The BUCRA project empowers smallholder farmers in Egypt’s Nile Delta with climate-smart agricultural practices and advanced digital tools. Using FutureWater’s Croptimal and SOSIA, the project optimizes crop selection and irrigation efficiency, addressing water scarcity and climate change. Demonstration plots and tailored training drive sustainable, resilient farming.

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  Global

  SPHY QGIS Plugin for Hydrological Modeling

  SPHY (Spatial Processes in Hydrology) is a conceptual, spatially distributed (raster-based) “leaky-bucket” type water balance model. Developed by FutureWater, with the support of national and international partners, SPHY has emerged as a robust, user-friendly tool for undertaking operational and strategic water resource management decisions. It stands out for its physical...

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Related publications

• 2025 - FutureWater Report 262Fernández-Rodríguez, A., T. Schults. 2025. QGIS SPHY Plugin v3.1 Technical Manual. FutureWater Report 262.X

  Technical Manual of QGIS Plugin for SPHY 3.1

  Fernández-Rodríguez, A., T. Schults

• 2025 - Remote SensingLagasio, M., S. Barindelli, Z. Chitu, S. Contreras, A. Fernández-Rodríguez, M. de Klerk, A. Fumagalli, A. Gatti, L. Hammerschmidt, D. Haskovic, M. Milelli, E. Oberto, I. Ontel, J. Orensanz, F. Ramelli, F. Uboldi, A.Validi, E. Realini. 2025. Integrating Advanced Sensor Technologies for Enhanced Agricultural Weather Forecasts and Irrigation Advisories: The MAGDA Project Approach. Remote Sensing, 17(11), 1855. https://doi.org/10.3390/rs17111855X

  Integrating Advanced Sensor Technologies for Enhanced Agricultural Weather Forecasts and Irrigation Advisories: The MAGDA Project Approach

  Lagasio, M., S. Barindelli, Z. Chitu, S. Contreras, A. Fernández-Rodríguez, M. de Klerk, A. Fumagalli, A. Gatti, L. Hammerschmidt, D. Haskovic, M. Milelli, E. Oberto, I. Ontel, J. Orensanz, F. Ramelli, F. Uboldi, A.Validi, E. Realini

• 2025 - Technical ReportContreras, S., A. Fernández, M. de Klerk. 2025. MAGDA: Irrigation Advisory Results Validation. Deliverable 6.3. Technical report Meteorological Assimilation from Galileo and drones for agriculture (MAGDA) project. Technical Report.X

  MAGDA: Irrigation Advisory Results Validation

  Contreras, S., A. Fernández, M. de Klerk

• 2024 - FutureWater Technical Report 250Fernández-Rodríguez, A., S. Contreras, G. Simons. Satellite-based Water Productivity of dominant croplands in the Jucar River Basin (Spain) by local implementation of WaPOR algorithm. 2024. FutureWater Report 250.X

  Satellite-based Water Productivity of dominant croplands in the Jucar River Basin (Spain) by local implementation of WaPOR algorithm

  Fernández-Rodríguez, A., S. Contreras, G. Simons

• 2024 - Technical ReportFernández, A., M. de Klerk, S. Contreras, E. Aparicio Medrano. 2024. MAGDA: Demonstrator Operational Irrigation Advisory Service. Deliverable 6.2. Technical report Meteorological Assimilation from Galileo and drones for agriculture (MAGDA) project. Technical Report.X

  MAGDA: Demonstrator Operational Irrigation Advisory Service

  Fernández, A., M. de Klerk, S. Contreras, E. Aparicio Medrano

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