Quieres conocer cuál es el momento óptimo para plantar? Para fumigar? Para recolectar?. Sabías que dos de cada tres agricultores no cosechan en la fase de madurez adecuada?. Aquí abajo te describo un método completamente automatizado mediante el uso combinado de varios índices de vegetación como NDVI, NDWI, SAVI y EVI que podemos extraer del Satétile SENTINEL-2 en la plataforma COPERNICUS de la UE para conocer exactamente y anticipar las mejores decisiones de intervención sobre tus tierras.
Category Archives: GIS / SIG
Spider diagrams in GEE and QGIS
Hace unos días, caminando por una calle concreta —no muy lejos de mi casa, la cual recorro con regularidad— me pregunté cuál era realmente la estación de metro más cercana. Tiendo a pensar que siempre es Puerta del Ángel… y en realidad, lo es. Pero aún así, quise comprobarlo quantitativamente, empíricamente. ¿Y si no fuera tan evidente?
En este tutorial se explica cómo crear un efecto visual dinámico en QGIS que simula una «araña» (ragnetto) que conecta automáticamente los 8 puntos más cercanos al cursor del mouse. Esta funcionalidad permite visualizar relaciones espaciales de forma interactiva y resulta especialmente útil para análisis de proximidad.
Sentinel-1 SAR: Un aliado indispensable para el análisis y seguimiento de inundaciones – Derna, Libia (2023)
La gestión y monitorización de fenómenos hidrológicos extremos, como inundaciones repentinas o fallos estructurales en presas, representan un desafío crítico para los especialistas en geomática, hidrología y planificación territorial. En este contexto, la tecnología radar de apertura sintética (SAR) a bordo del satélite Sentinel-1 de la Agencia Espacial Europea (ESA) ofrece una capacidad sin precedentes para capturar información precisa y fiable sobre la dinámica superficial, independientemente de las condiciones atmosféricas y lumínicas.
Mapas de Peligrosidad Climática: Datos y Análisis para aseguradoras
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.
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.
ELEVATION GAIN 84,448 m
On August 14th, 2014, I unknowingly took the first step of a long ascent. Nearly eleven years later, sharply 1089 runs later, I’ve reached an elevation gain of 84,448 metres — almost ten Everests. This isn’t the story of a single mountain climbed, but of a slow, deliberate series of efforts, some before dawn, raining cats and dogs, snowing, escaping from dogs, freezing like hell, others after long days, all contributing to a quiet accumulation of altitude and, more importantly, confidence.
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.
Urban delineation methods beyond administrative boundaries
As a geographer working with Geographic Information Systems (GIS), I am particularly interested in exploring urban delineation methods that move beyond the constraints of administrative boundaries. Instead of relying on official municipal limits—which can often be outdated or misaligned with functional realities on the ground—I focus on delineating urban areas based on physical indicators such as built-up surface, population density, and spatial continuity. This approach allows for a more accurate and dynamic understanding of urban space.
Urban Heat Islands, Trees, and Climate Justice in the Anthropocene: A Remote Sensing-Based Reflection
In recent years, the need to understand the urban environment has grown more urgent than ever. Climate change is not an abstract future scenario; it is already here, reshaping our cities day by day. Among the many phenomena that demand our attention, the Urban Heat Island (UHI) effect stands out—not only for its environmental and public health impacts but also for its socio-political implications. Through satellite imagery and remote sensing, we can now visualize and quantify these dynamics with increasing precision. This post reflects on such an analysis I conducted using LANDSAT 8 imagery (Scene ID: LC08_L2SP_201032_20250328_20250401_02_T1, Date Acquired: 2025/03/28), and discusses the findings in the broader context of urban planning, climate justice, and the urgent need to protect urban vegetation.
Mapping My 10-Year Adventure: Running Madrid to Ulaanbaatar 10,127 km
In August 2014, I laced up my running shoes for the first time, with no grand expectations — just a simple desire to move, to feel better, to take control. I was far from athletic: weighing nearly 80 kilograms (almost 20 kg more than today), with no endurance, no rhythm, and definitely no running background (exception made of some runs in my mid 20’s :-)). But I made myself a promise: I would be stubborn, consistent, and patient. No matter the weather — rain, wind, snow, scorching heat, storms — I would run, three times a week, every week.
Geovisualization.net 