In the wake of the latest Global Mapper® application launch, Blue Marble Geographics has introduced an enhanced version of the Global Mapper SDK.
This updated toolkit empowers developers by providing the analytical capabilities,format compatibility,and visualization features of Blue Marble Geographics’ renowned desktop application in a more efficient format. Developers can now seamlessly integrate robust geospatial functionalities into Windows applications using C++, C#, and Python.
Overview of Global Mapper SDK v26.0 (Standard)
Web-Based and Tiled Data Management
The need for rapid loading and rendering of web-based data in browsers is paramount. This encompasses images, lines, points, raster data, meshes, tiles, and 3D models.
The 26th version of the Global Mapper SDK enhances export capabilities for these data types, introducing read and write support for the GL Transmission format (glTF/GLB). Additionally, it facilitates the creation of new Cesium-based data tilesets, which include digital elevation models, point clouds, meshes, and 3D representations.
Metadata Enhancements
As lidar point cloud technology evolves, so do the requirements for managing its intricate data components.
The latest LAS 1.4 specification introduces advanced features for identifying characteristics and unique attributes thru Extended Variable Length Records (EVLRs). These enhancements are now integrated into the LAS and Global Mapper Package formats within the GM 26.0 SDK.
Global Mapper Pro SDK v26.0
Global Mapper Pro provides a suite of sophisticated tools designed for tackling the most intricate geospatial data processing and analysis challenges,including lidar point cloud classification and the Pixels to Points toolkit for data collected via drones.
solar Analysis Capabilities
the Global Mapper Pro now includes Solar Analysis tools that facilitate solar energy assessments using spatial datasets. Users can modify settings for specific times or seasons and generate time-sliced datasets to visualize solar exposure over various periods. This functionality is accessible through Global Mapper script tools within the Global Mapper Pro SDK.
pixels to Points for Optimized Drone Data Processing
With advancements in drone imaging technology, the complexity of the generated data has also increased. The Pixels to Points toolkit has been further refined to meet user demands and continues to excel in processing the latest image datasets.
In the Global Mapper Pro SDK v26.0, users will experience enhanced performance throughout the processing pipeline, allowing for more efficient data collection.
Model Key Point Generation for Efficient Point Cloud Analysis
Users can now easily condense large lidar datasets into manageable segments using model key points. Version 26 of the Global Mapper Pro SDK enables users to load extensive point cloud datasets and create a simplified model containing only the essential data.
Once streamlined, users can convert the point cloud into a compact TIN surface that can be integrated with other geospatial applications.
