Gatti

From a digital elevation model to a 3D meshPhoto by Planet Volumes on Unsplash3D meshes can be used to represent geographic data such as terrain, buildings and other structures. This mesh can be useful for a variety of purposes, such as urban planning, environmental analysis or virtual reality simulations. However, the process of creating a 3D mesh of a geographical area is not always straightforward, but this guide covers all the necessary steps.To generate a 3D mesh of a given area, elevation data for that area is…

Build and train a segmentation model with a few lines of codeMartinThoma, CC0, via Wikimedia Commons (edited)Neural network models have proven to be highly effective in solving segmentation problems, achieving state-of-the-art accuracy. They have led to significant improvements in various applications, including medical image analysis, autonomous driving, robotics, satellite imagery, video surveillance, and much more. However, building these models usually takes a long time, but after reading this guide you will be able…

A foundation for current and future global challengesPhoto by NASA on UnsplashIn a previous article, I discussed in detail everything you need to know about working with geospatial raster data. This type of data is associated with a specific geographical area. However, it’s not possible to study how that area has changed over time by analysing a single raster file. This guide aims to introduce the reader to satellite image time series and explain why this data is incredibly important in addressing current and future…

Combine Deep Learning with 3D data processing to generate a meshPhoto by Alvaro Pinot on UnsplashGenerating a 3D mesh from a single 2D image seemed a very hard task some years ago. Nowadays, thanks to the advancement in Deep Learning, multiple monocular depth estimation models have been developed and they can provide a precise depth map from any image. Through this map, it’s possible to generate a mesh by performing surface reconstruction.IntroductionMonocular depth estimation is the task of estimating the depth value…

Everything you need to know about raster files, georeferencing, metadata and Rasterio Python libraryPhoto by Daniele Colucci on UnsplashMost aerial photographs and imagery from satellites are raster files.This format is often used to represent real-world phenomena. If you are working with geographic data, there is a high chance you have to deal with it.To use geographical raster files with Python, different theoretical concepts are required. Before jumping to the programmatic part, I highly recommend you follow the…