Gracias a datos satelitales de alta calidad y herramientas de análisis geoespacial en la nube, es posible generar de forma ágil mapas de peligrosidad climática con respaldo científico y cobertura global. Un ejemplo de ello es el análisis de la frecuencia de lluvias extremas realizado para Sri Lanka en el periodo 2001–2023.
Category Archives: Cloud based computation
Water Quality Assessment based on Sentinel-2 Surface Reflectance over La Safor region, Valencia, Spain. Winter 2024-25
in light of meteorological conditions in the study area — specifically the occurrence of exceptionally heavy rainfall events in the La Safor region of Valencia — rooted in hydrological and sediment dynamics rather than in sensor or algorithmic artifacts.
Summer Heat Inequity in Madrid: A Playground-Based Analysis in Summer 2024
Between June 21 and September 21, 2024, I analyzed the surface temperatures of all 2,123 registered playgrounds in Madrid using Landsat 8/9 imagery (Level-2 Surface Temperature products). This investigation, an extension of my previous reflection on urban heat and environmental justice in Geovisualization.net (May 2025), highlights how thermal exposure is patterned by geography, planning legacies, and demographic vulnerability in the Spanish capital.
Geovisualization.net 