The exercise shows how a simple SketchUp 3D volume, defined solely by its basic geometry, can be transformed into a complex architectural proposal. Starting from the initial schematic model, the system interprets proportions, levels, and shapes, and converts them into a fully developed building, complete with textures, vegetation, lighting, and an urban context
Category Archives: quality control
Precision Elevation Data for Forest Giants: LiDAR vs ETH Global Canopy Height in Mata do Buçaco (Portugal)
High‑resolution elevation data underpins almost every spatial analysis we do in GIS—especially in forests where vertical structure defines habitat, biomass, wind exposure, fire behavior, hydrology, and the microclimates that sustain rare species. In rugged or densely vegetated environments, a coarse or biased elevation model propagates error everywhere: orthorectification drifts, hillshades mislead, slope/aspect misclassify, and canopy metrics saturate. The result is decisions made on blurred terrain that hides the very patterns we seek to manage. Precision elevation—derived from airborne LiDAR (Light Detection and Ranging)—solves this by separating the ground from the vegetation and delivering both a bare‑earth Digital Terrain Model (DTM) and a Digital Surface Model (DSM). Subtracting DTM from DSM gives a Canopy Height Model (DHM) that captures the true vertical architecture of the forest at sub‑meter resolution.
Water Quality Viewer (UWQV) for Sentinel -2
The Ulyssys Water Quality Viewer harnesses the power of Sentinel-2 satellite data to provide comprehensive and accurate water quality assessments. Its intuitive legend and visualization capabilities significantly enhance the user’s ability to interpret and act on environmental data, contributing to better water management and conservation efforts worldwide, particularly in ecologically and economically significant areas like La Mata and Torrevieja salt lagoons.
Wildfires in the sub-Saharan region
This image, acquired by one of the Copernicus Sentinel-2 on 8 February 2022, shows ongoing wildfires in the Boma National Park in South Sudan. Fires are common at this time of year in the sub-Saharan region.
Census differential Privacy Exploration: the change in population for every Congressional district after applying Differential Privacy
How differences in population count could have implications for service provision, allocation of funds, & political representation. Source: https://www.caliper.com/census-differential-privacy-maps/ The U.S. Census Bureau has changed the way it ensures privacy for the 2020 Census. The new method is called Differential Privacy (DP). To help people assess some of the implications and unintended consequences of Differential Privacy, Caliper® is providing severalContinue reading “Census differential Privacy Exploration: the change in population for every Congressional district after applying Differential Privacy”
El láser desvela toda la grandeza de la civilización maya (Fuente: El País)
Esta mañana encontré este interesante reportaje sobre el LIDAR (Laser Imaging Detection and Ranging, detección y localización de imágenes por láser) la tecnología con la que trabajo desde hace años y que a algunos les parece recién inventada, jeje.
La simbolización, las leyendas de los mapas y la prensa española
Un periodista, un diseñador, un influencer… muy guay pero para hacer los mapas, preguntad a un Geógrafo. Cada vez es más fácil usar servicios web con cartografía precargada tipo CARTO o MAPBOX pero esto no es suficiente si lo que queremos es comunicar un fenómeno o un dato de manera correcta.
LIDAR Madrid LAZ 20cm
Ya van varias veces en el último mes que alguien no especialista en temas geográficos-cartográficos me habla de ‘ese sistema’ de láser para saber ‘la altura del terreno’ y es que la verdad es que LIDAR parece magia. Es bastante increible que pase un avión con una tecnología invisible a ojos humanos y que seContinue reading “LIDAR Madrid LAZ 20cm”
Análisis espacial de precios en el mercado inmobiliario (Ejemplo sobre Vicálvaro, Madrid)
Análisis espacial de precios en el mercado inmobiliario
Comparación de DTM usando Global Mapper 17.0.1
Comparar, primero visualmente y después cuantitativamente dos DTM. Por un lado elegimos una fuente muy usual, SRTM con un DTM derivado de Fotogrametría Stereo.
Geovisualization.net 