Tag Archives: 3d geovisualization

Subida increíble COVID-19 tasa de incidencia 14d Navidad 2021-Año nuevo 2022!!!

Cifras realmente alarmantes no porque estén generando un aumento de presión hospitalaria (menos mal!) sino porque son las cifras de contagios más altas desde el comienzo de la pandemia, hace unos 20 meses. Incluso un servidor se ha contagiado y escribe estas líneas desde el ostracismo de un aislamiento dolorosísimo en las peores fechas del año. Esta gráfica muestra cómo se llegan a multiplicar por treinta las incidencias en dos meses…

La geográfica cabecera de ‘Up in the air’ con George Clooney

Para alguien que maneja mapas a diario es una sorpresa interesante cruzarse con esta cabecera de la película de Jason Reirman protagonizada por George Clooney ‘Up in the air’. Nubes, campos de cultivo, ciudades en 2D, 3D. Qué bien he elegido mi profesión:-) Para alguien que viaja mucho, salvando las distancias, este vídeo, también delContinue reading “La geográfica cabecera de ‘Up in the air’ con George Clooney”

Remote Sensing, Photogrammetry, Lidar and Landuse IGN Spain

A few more lines for leting you know again that i passed this other course just now in Instituto Geográfico of Spain (IGN). Remote Sensing, Photogrammetry, Lidar and Landuse, a comprehensive 40h update on relevant information i need tu use on a daily basis. This ‘update’ helps me to better understand what i am working with andContinue reading “Remote Sensing, Photogrammetry, Lidar and Landuse IGN Spain”

DTM from SRTM? Let’s compare sources using RMSE (Root Mean Square Error) and a gaussian kernell density map

I guess we all can make a DTM out of many sources but SRTM is one of the most common ones, right?. Then let’s learn from this very simple approach how close we are from the SRTM raw data. Selecting a not very big representative area to be able to handle it, exporting raster to polygon (fromContinue reading “DTM from SRTM? Let’s compare sources using RMSE (Root Mean Square Error) and a gaussian kernell density map”

Solar + Shadows analysis on Rue Massillon, Nantes (France)

This is the beautiful building in from of my house in Nantes… Let’s model it first using Sketchup. Also I have used a non standard style only for visualization purposes… If we have the North behind us this means we are going to have a lot of light… but so far we are just guessing… Now weContinue reading “Solar + Shadows analysis on Rue Massillon, Nantes (France)”

Visualizing LAS LIDAR data with sketch-up

While trying to figure out the way to get a 3D model from raw Lidar data, I first opened my LAS file in Global Mapper, exported it to DXF, imported then into Sketch-up and after recording a few scenes, I saved the animation… this is it!. Alberto

Using Excel to calculate the RMSE for LiDAR vertical ground control points

The height accuracy of the collected LiDAR data can be verified by comparing with independently surveyed ground control points on hard, flat, open surfaces. It is essentially just calculating the height differences for all the control points and then determining the height root mean squared error (RMSE) or differences. Most LiDAR processing software have the reporting function built-in. However, plain Microsoft Excel can also do the job (except for extracting the elevation from the LiDAR data).

Data acquisition: How do I know if this river is been well acquired?

I’ve already entered my river but my imagery was in 2D so… was it well acquired?…  First of all, I import my shape (shp) file into Global Mapper (what a great sofware!) and export my vector file as a KML. Import my river.kml file into my brand new Google Earth 5.2 or just double-click itContinue reading “Data acquisition: How do I know if this river is been well acquired?”

GIS+Architectural scenaries. Awesome!

Even from scratch or from dgn/dxf vectorial format’s contour lines you create your own scenario. Then import your model previously created using Sketch-up (this time i used google’s 3d warehouse, thank you Dilbert). Stamp your house using sketch-up sandbox tools. Then fur your scenario as if it was grass… A little of photoshop like clouds andContinue reading “GIS+Architectural scenaries. Awesome!”