Release Notes: February 2025. See what's new at Spacesium Scout 3D 📐

Managing the vast amounts of data collected from drones and 3D scanning in the field is crucial. At Spacesium, we have focused on streamlining the process with our latest release of Spacesium Scout 3D (Version 1.8.5.30) 🌐. We’re excited to introduce several features aimed at simplifying data management and maximizing the value of your data.

Major Feature Updates

1. Change Detection Analysis

Goals

Efficiently detect and analyze statistically significant changes between two LiDAR point clouds, even when captured under different environmental conditions, using various sensors, and exhibiting variations in data density and quality. This advanced feature is designed to support both airborne and terrestrial LiDAR scans, making it ideal for applications in environmental monitoring, infrastructure assessment, land surveying, urban planning, mining and forestry analysis. By leveraging robust statistical algorithms, this tool ensures accurate and reliable change detection, helping users make data-driven decisions.

Input

Two LAS-format point clouds

Output Point clouds with the color changes draped over both point clouds.

1. Labelling - Annotations

In Scout 3D, labeling allows users to create and place descriptive text for features in maps and projects. Labels are dynamically positioned text elements derived from one or more feature attributes.

In Scout, the following apply:

• -Label positions are automatically generated.
•  
• -Labels are selectable.
•  
• -Individual label display properties can be edited.

Labeling provides a quick and efficient way to add text to a map with placing text for each feature. This is especially useful when showing users locations or areas of interest.

1. Contour Import

Contours are lines that connect points of equal value within a raster dataset, representing continuous phenomena such as elevation, temperature, precipitation, pollution, or atmospheric pressure. These lines link cells with the same value in the input data. While commonly referred to as isolines, contour lines may have specific names based on the measured variable—for example, isobars for pressure, isotherms for temperature, and isohyets for precipitation.

The spacing of contour lines visually represents how values change across a surface. Widely spaced lines indicate gradual changes, while closely spaced lines signify steep variations.

To import contour data, got to a Project, Map Layers then upload a DXF or a ESRI Shape file (zipped)

Fixes

• -Clip function refinement - fix for the clipping tool
• -Home location fix - home function works with default map
• -Demo project bars - all bars are working on the demo projects
• -Left panel fix - All panels on the left can now be stretched out
• -Point file fix - Can now import ESRI shapefiles as points
• -Share file fix - can view external projects without signup
• -Added EPSG fix - files for design files can be used with EPSG codes
• -Saving Map Style - basemap will be saved automatically

The decisions are up to you to build a digital infrastructure with industry experts - that have both knowledge of geospatial and software development! Try it now! https://scout.spacesium.com/create-account