CUBIZEN: Global Mapper, CityEngine & Creative Tech

Learn how to vectorize satellite imagery and extract specific color-based area features. This tutorial explores the specific context menu options available for Raster Layers in Global Mapper. We focus on the "Create Area Features from Equal Values" and "Vectorize Raster" tools, demonstrating how to isolate specific land cover types or features by targeting RGB values and adjusting color fuzziness settings. Today, we will cover the context menu for Raster Layers . Open your previous project and activate the 'Image' layer. img 1 : Control Center window with the "Image" layer selected and satellite view showing agricultural land. Let's review the context menu functions available for Raster Layers. You'll notice they are similar to those of elevation layers, but a few items are missing: img 2 : Raster Layer's Context Menus. Create Workspace F...

Batch export high-resolution parcel images with satellite backgrounds using Global Mapper's Python SDK. This tutorial provides a complete Python script designed to automate the repetitive task of zooming into individual parcels and capturing images. By leveraging Global Mapper's scripting capabilities, users can process hundreds of vector features into standardized image outputs in seconds, significantly improving report generation efficiency. Why I Created This Script Today, I’m finally sharing a script I wrote some time ago and recently refined. I ask for your understanding; it has been difficult to concentrate on writing lately. The reason I created this script was because I saw a close junior of mine manually zooming in and out of hundreds of parcels in CAD, capturing each one for a report. I figured there had to be a better way than manually capturing hundreds of parcels one by one. img 1 : Main...