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.

Gerelateerde projecten

• 
  Pakistan

  I-DIP: Monitoren, voorspellen en bestrijden van plotselinge droogte in Pakistan

  Regio's in Pakistan worden steeds vaker getroffen door plotselinge droogtes – plotselinge droogteperiodes die zich binnen enkele weken ontwikkelen en ernstige gevolgen hebben voor gewassen en bestaansmiddelen. Om de veerkracht te versterken, voeren FutureWater en WaterSprint, in samenwerking met het National Drought Monitoring Centre (NDMC) en het Better Cotton Initiative,...

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  Nepal

  Smart Sprayer: efficiënte terrasirrigatie in Nepal

  Het project introduceert het Smart Sprayer-pakket, een geïntegreerde oplossing die bestaat uit: 1) Een goedkoop, zwaartekrachtgevoed micro-pivotirrigatiesysteem (de Sprayer), ontworpen om te functioneren bij zeer lage waterdruk en -debiet, ideaal voor heuvelachtig terrein en afgelegen boerderijen. 2) Een mobiele Smart Irrigation Tool die boeren dagelijks, gewasspecifiek irrigatieadvies stuurt via WhatsApp...

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  Somalië Somaliland

  Droogtevoorspellingsmodel voor Somalië/Somaliland

  Dit project heeft als doel om de paraatheid en respons op droogte in Somalië en Somaliland te versterken door de technische en operationele capaciteit van het Somali Disaster Management Agency (SODMA) en de National Disaster Preparedness and Food Reserve Authority van Somaliland (NADFOR) te verbeteren. Onder leiding van het Wereldvoedselprogramma...

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  Egypte

  BUCRA: Building Unity for Climate Resilient Agriculture

  Het BUCRA-project versterkt kleinschalige boeren in de Nijldelta van Egypte met klimaatslimme landbouwpraktijken en geavanceerde digitale tools. Met behulp van FutureWater's Croptimal optimaliseert het project de gewaskeuze en irrigatie-efficiëntie, waarmee het inspeelt op waterschaarste en klimaatverandering. Demonstratiepercelen en op maat gemaakte trainingen stimuleren duurzame en veerkrachtige landbouw.

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  Mondiaal

  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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Gerelateerde publicaties

• 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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