Se completa la trilogía escolar en GEOGRAFÍA

Después de mi master class en la Universidad de Alcalá de Henares (Madrid) y después de mi clase de motivación en el Instituto IES Santo Tomás de Aquino de Íscar (Valladolid), llegó mi clase en el Colegio Ermita del Santo en Madrid. Tres niveles educativos diferentes y cada una interesante a su manera. En este último caso del Colegio, me tuve que enfrentar a casi una cincuentena de niños de 4º de Primaria donde disfruté tanto que no sé quién se lo pasó mejor, si ellos o yo!.

Consultoría e ideología: Manual de estupidez

Yo soy un humilde Geógrafo, además soy alguien curioso al que no le importa meterme en mil fregados por las razones más variadas, que ha trabajado y trabaja como tal pero también como diseñador, como fotógrafo o como comercial. He trabajado con obreros, con arquitectos, porteros de fincas, con dibujantes, con consultores de todos losContinue reading “Consultoría e ideología: Manual de estupidez”

Faible taux d’humidité au Pays Basque. Sérieux ?

Quand vous venez passer le week-end dans un village du Pays Basque et que vous voyez cette image verte ci-dessous, vous vous dites, ho-ho, ici ils n’ont pas eu les problèmes de chaleur et de manque de pluie que nous avons subis dans le centre et le sud de la péninsule. Mais tout à coup, ils vous disent que oui, ils ont aussi souffert et qu’il est impossible qu’ils aient atteint les niveaux d’humidité des autres années…

Inland Water levels… Globally. Copernicus did it again!

The Water Observatory is an Earth-observation-based solution that provides reliable and timely information about surface water levels of waterbodies across the globe. All observations are provided and can be explored interactively via the Water Observatory Dashboard or via RESTful API. The Water Observatory provides a valuable service to local authorities, governmental agencies, natural parks and reserves, agricultural ministries and agencies, stakeholders in food and energy production, and citizens alike.

Google Earth Engine and Dynamic World

Let me please introduce you this “new” LULC source I have come across with recently. The potential of this 10m “clutter” source is being able to acquire data from a few days ago instead of using outdated “very old” 2020 vintage datasets. I know if these days something 2020 is very old then myself, born in 1972 then i’m older than the riverside, older than peeing in a wall, even older than Methuselah. Yes, that’s the way it is nowadays.

Google Earth Engine is a geospatial processing service where you can perform geospatial processing at scale, powered by Google Cloud Platform. The purpose of Earth Engine is to:

Provide an interactive platform for geospatial algorithm development at scale
Enable high-impact, data-driven science
Make substantive progress on global challenges that involve large geospatial datasets

Tracking fires LIVE: Boiro (A Coruña, Spain)

We can track this up as we speak. We can measure burn areas on a regular basis, creating videos, capture images, creating indexes, histograms, etc. Everything for better understanding what is going on and maybe, why not, avoiding it in te future. If you would like more information, dont hesitate to contact us.

Ship Monitoring from space: SUEZ

Below you can see the example timelapse of Suez Canal ship traffic, made with a Sentinel-1 custom composite visualization. You can observe the moving ships as time passes.
Sentinel-1 is a pair of European radar imaging (SAR) satellites launched in 2014 and 2016. Its 6 days revisit cycle and ability to observe through clouds makes it perfect for sea and land monitoring, emergency response due to environmental disasters, and economic applications. This dataset represents the global Sentinel-1 GRD archive, from beginning to the present, converted to cloud-optimized GeoTIFF format.

Recuperación natural de un bosque de Pino Piñonero. Incendio en Pedro Bernado (Ávila)

En este micro vídeo he querido mostrar el proceso de recuperación natural de un bosque de Pino Piñonero (Pinus Pinea) a lo largo de tres años en Pedro Bernardo (Ávila, España). Fecha del incendio Junio 2019. Estimación previa a cuantificación: 40%. Imagenes Sentinel 2 – L2A. Usé una combinación 12-11-4. SWIR-2 (12), SWIR 1 (11), Red (4) entre las fechas de Junio 2019 y Junio 2022 a razón de una imagen al mes, seleccionando solo si ausencia total de nubes y cobertura total sobre la zona de análisis.

Sentinel-hub: Highlighting value differences in deserts! (not only!)

This Sentinel-2 aesthetic script can be used to produce beautiful, neon looking results over urban and dry areas. The script is especially useful to highlight value differences in deserts. It’s essentially an RGB composite, with a B12 and B04 difference (which does a good job at displaying certain desert features, like dunes) in the red,Continue reading “Sentinel-hub: Highlighting value differences in deserts! (not only!)”

Visualising Wind from a GRIB Mesh Layer in QGIS and Create an Animated GIF

For a brief introduction into this new GRIB Mesh format (new to me) I followed step by step this tutorial bellow I had found in Hans Van der Kwast YouTube channel, it happened to be very good source and I finally made it (see below). The idea was analysing the winds during a Storm in the Netherlands (this storm was actually the 14th of March 2022 but I analyzed the 15th, no impact on the tutorial whatsoever but please note this point).