In an era defined by increasing infrastructure complexity and a tightening labor market, the traditional silos between field data collection and office analysis have become a primary bottleneck. This session explores the shift from linear, manual data exchange to a dynamic, cloud-enabled common data environment (CDE) that serves as the heartbeat of modern surveying. Find out how integrated, cloud-native workflows do more than just accelerate data transfer; they fundamentally transform the surveyor's role from a data provider to a strategic consultant. By bridging the gap between high-precision field operations and sophisticated office processing through a unified ecosystem, geospatial professionals can unlock real-time collaboration with stakeholders and clients. Join this session to learn how embracing a connected digital thread minimizes risk, ensures a single source of truth and provides the transparency required to meet the evolving demands of tomorrow’s built environment.

Data sovereignty is not a buzzword anymore. It is a strategic advantage, and a question you can no longer afford to ignore. As technology accelerates and geopolitics grow more unpredictable, where your data lives has become just as important as what your data can do. When world leaders openly threaten to restrict or cut off data access for political reasons, keeping your data close to home is not paranoia. It is smart business. At AI-InfraSolutions, data sovereignty has been our principle from day one. In the Netherlands, all our data lives on Dutch servers, secure, compliant, and under local control. We built Spatiall, our end-to-end geospatial platform, around exactly that idea: innovation without surrendering control. And because we build sovereignty in from the start, we help our partners abroad keep their data in their own country too, wherever that is possible. In this session we cut through the noise. You will see why data location matters right now, how it shapes risk, resilience, and trust, and what a truly sovereign-by-design geospatial solution looks like in practice. Come listen, then visit us at stand C6C145 to see Spatiall in action and talk about how sovereignty can put your mind at ease.

Focusing on the deep integration algorithm of SLAM and RTK, this presentation demonstrates how accuracy is maintained across diverse scenarios (with network / without network / low-texture environments / long corridors / strong illumination), and showcases real-world test data and validation results in extreme conditions.

Driving Digital and Sustainable Transformation

Throughout the long history of surveying and mapping technology development, what value has ALPHAGEO created for the advancement of surveying and mapping technology?

Gaussian Splatting has changed the game for photorealistic rendering, but the real challenge is moving beyond pretty pictures and turning that data into something an engineer can actually use. This presentation explores how we are integrating these high-fidelity models into professional CAD workflows. We will start with a brief look at what makes Gaussian splats unique and why they provide a level of detail that traditional meshes often miss. The presentation shows TerraSplat in action. We will show how this software allows users to visualize georeferenced Gaussian splats directly inside CAD. This shift turns a visual model into a functional design asset that can be used for everything from digital twin creation to precise visual assessment work. To wrap up, the presentation covers the advanced merging capabilities of TerraScan. We will show how to fuse classified LiDAR point clouds with Gaussian splat data covering the same area. This process is a breakthrough for the industry because it allows the splats to inherit the classification and precision of the LiDAR. By adding this semantic layer, users can dynamically hide or show specific objects and perform improved visual analysis. We are effectively moving from a single uniform Gaussian Splat "blob" to an organized, intelligent model ready for serious design work.

In this Tech Stage presentation, Teledyne Optech will provide a concise update on the latest developments across its lidar portfolio, including recent in‑field qualification and vetting against industry standards. Beyond a technology update, the talk will explore three key development paths shaping the future of lidar at Teledyne: increased resolution and productivity, continued sensor miniaturization, and the transition toward real‑time processing. The presentation will be grounded with selected case studies from both drone‑ and aircraft‑mounted systems, highlighting applications in terrain and bathymetric mapping.

Raw sensor data – whether from LiDAR or photogrammetry – is just the starting point. The real value emerges when you can process, refine, and present that data as a faithful digital twin. This session focuses entirely on DJI Enterprise’s post‑processing capabilities, showcasing a complete, seamless workflow from raw point clouds and images to industry‑ready 3D assets. We will walk through the three essential stages of 3D digitalization: Reconstruction – turning raw data into high‑precision 3D models, orthomosaics, and point clouds. Editing & Classification – refining and structuring point clouds for real‑world applications. Visualization & Delivery – immersive inspection, annotation, and digital twin presentation. By integrating these stages into a single, unified software ecosystem, DJI Enterprise eliminates the need for multiple third‑party tools. Through real‑world examples – from infrastructure inspection to heritage documentation – you’ll see how this complete post‑processing workflow accelerates project delivery, reduces complexity, and unlocks the full potential of your drone‑captured data.

This session explores a fundamental shift in construction layout workflows, where robotic total stations and prism-based methods have long been defined by the constraint of line of sight. With the introduction of Topcon Origo, users can perform accurate layout even in obstructed and complex indoor environments. Paired with purpose-built, easy-to-use software, this approach simplifies adoption and extends high-precision layout capabilities beyond traditional surveying roles. The presentation will examine the challenges of indoor layout with robotic total stations, where maintaining line of sight to the prism is critical for operation and accuracy. It will also address the limitations of GNSS, which provides positioning without line of sight but is largely restricted to outdoor use. By bridging this gap, Origo enables more flexible and efficient workflows, helping teams reduce downtime, increase productivity, and complete layout tasks with greater confidence. Attendees will gain insight into how this innovation improves jobsite performance and supports evolving digital construction processes. Join this session to see how Origo is redefining layout workflows and enabling a new level of productivity in the field.

What happens when high-precision RTK GNSS becomes affordable enough to put on every construction site? Join Emlid CEO Igor Vereninov to see how survey-grade accuracy is moving into everyday field workflows. Drawing on real results from teams at Skanska, Skender, Dellbrook, KLS Earthworks, and Hausmann, Igor will show how construction crews now run QA/QC checks, capture utility as-builts before backfill, and confirm grades themselves — saving time and freeing surveyors to focus on the high-value work only they can do.

Projected Reality for Industrial Construction Mechasys eliminates layout errors by bridging the gap between BIM models and the field using its XR Projector. This 3D projection solution displays plans, points, and instructions directly onto work surfaces with millimeter-level accuracy ($\pm 1$ mm at 50 m). - Performance and Cost-Effectiveness: - Execution Speed: Productivity up to 5.3 times faster than traditional manual string-line marking. - Cost Reduction: Demonstrated savings of $124,032 USD on a single building project. - Accessibility: Simplified skill requirements and a fast learning curve for construction workers. - Reliability: Drastic reduction in the risk of human error and rework costs (estimated at 4–9% of a project’s total cost without this tool). A Connected Ecosystem: Thanks to an integrated cloud platform, teams can view 2D/3D CAD files, add real-time annotations, and manage their equipment fleet remotely to ensure optimal quality standards. With over 250 projects completed worldwide, Mechasys transforms every construction site into a high-precision environment.

Geospatial data is not only about coordinates. With LiDAR, remote sensing, sensor networks, digital twins, IoT, and AI-based processing pipelines, geographic objects are increasingly described by rich sets of attributes: height, shape, condition, context, similarity, uncertainty to name a few. These attributes form high-dimensional feature spaces — the same conceptual space in which many AI models represent and compare objects. This talk explores how such feature spaces can become accessible for geospatial analysis. Instead of looking only at where objects are located on a map, we ask: Which objects are similar? Which ones are unusual? Which spatial patterns only become visible when thematic, structural, and analytical attributes are considered together? Using examples from multivariate geospatial data, including urban tree inventories derived from mobile mapping and LiDAR, the talk introduces an interactive visual analytics perspective in which geospatial objects can be rearranged according to selected features, similarity relations, and spatial criteria. The aim is not to replace maps, but to complement them: by moving between geographic space and feature space, analysts can discover latent groups, outliers, correlations, and AI-relevant patterns that remain hidden in conventional map views. The talk invites GIS professionals, researchers, and decision-makers to rethink geospatial visualization as an interface between maps, data science, and AI-assisted spatial understanding.

Zoller+Fröhlich presents its in-house mobile scanning and mapping solutions, which enable high-precision 3D data capture while in motion. These solutions combine high-performance laser scanners with external GNSS and IMU technology for precise georeferencing. Thanks to their compact design and intuitive software, they can be used flexibly—from vehicle-mounted systems to portable backpack systems. The captured data is ideal for applications in urban planning, infrastructure surveying, and digital twin creation. The presentation will showcase current use cases and technical advancements.

Central digital data storage is the decisive basis for access to relevant project data. Standards provide the necessary structure to capture the level of detail, dependencies, and complexity. Visualization allows users with different requirements to understand projects rationally and emotionally. The difference between grabbing and grasping. The presentation will show the complete range of spatial expansion, depth of detail and integration into existing processes and solutions using the practical example of the digital twin* of the city of Landsberg. Directly after the presentation, questions and suggestions are expressly welcome and individual requirements, as well as questions about the solutions shown, can be discussed live at the workplace at the booth. * As part of the mFUND funding project "TwinCity3D", a geodata-based approach was created as the basis for a digital twin for the application areas of climate protection, mobility and urban planning, especially for small and medium-sized towns without an explicit smart city strategy. In the course of the project, the urban area of Landsberg am Lech was flown several times with an ultralight aircraft. The resulting aerial photo products were evaluated using specially developed AI algorithms. The new system for collecting geodata from the air opens up completely new possibilities for the analysis of urban structures. The municipal tree cadastre could be supplemented by trees and bushes on private land. The evaluation of the thermal images provides insights into the temperature distribution within the urban area and thus optimizes the analysis of the urban climate. In addition, it was possible to balance the land use of parking traffic and evaluate its distribution between the different types of land. Another focus was on the integration of plans into the virtual 3D city model. For this purpose, an import tool for XPlanGML and IFC files, as well as a LOD2 planning tool were developed and integrated.

Global, regional and asset-related risks are constantly increasing in complexity and dynamics. Geoinformation technologies and digital twins play a crucial role in detecting and analysing these developments at an early stage and deriving appropriate risk mitigation measures. Experts and decision-makers will discuss concepts for the continuous collection and evaluation of realtim-data in order to realize the transition from reactive to predictive event handling. With their practical experience, the panelists cover various assets, systems and processes and consider the influence of new technologies in the areas of data transmission, storage or automated processing. The TWIN TALKS / panel discussion will be followed by a question-and-answer round, which will turn into a general exchange and a technical discussion at a convivial "get together" at the booth of the Deutscher Dachverband für Geoinformation DDGI.

The future of the geospatial data sector lies in the cloud: Against a backdrop of growing complexity, increasing security requirements, and limited human resources, consolidating infrastructure, operations, and security architecture into a professionally managed cloud environment is the logical and sustainable path forward. Especially in the field of government geodata and registry management, the integrity, confidentiality, and availability of systems are of paramount importance. Requirements related to critical infrastructure (KRITIS), established security standards, and certified information security management systems based on ISO standards are increasingly shaping the framework for municipal operations. The VertiGIS Cloud for Government addresses precisely these needs and offers clear benefits, such as: the highest security standards in a BSI-compliant operating environment, certified to ISO 27001 and C5, complete digital sovereignty, maximum flexibility and scalability, highly available, redundantly designed system landscapes and software and operations from a single source. Look forward to an exciting presentation in dialogue with VertiGIS and T-Systems International.

Most organizations working at the intersection of BIM and GIS face the same structural problem: their data lives in multiple Common Data Environments — sometimes different CDEs across different departments, projects, or stakeholders — and no single platform speaks all of them fluently. This session addresses that problem head-on. The presentation demonstrates how usBIM.geotwin, acca's cloud-based GIS platform, connects natively with any major CDE — including ACCA, Autodesk, Bentley, Dassault, and Trimble — to extract openBIM® models in IFC format and integrate them directly into an ESRI ArcGIS environment. The result is a vendor-neutral, open-standard workflow that eliminates the need to choose between BIM platforms: organizations can keep working in the CDE they already use, while feeding a shared Geospatial Digital Twin with consistent, interoperable data. The session then explores what becomes possible once that integration is in place. usBIM.geotwin imposes no practical limits on the scale of what can be managed: from individual structures to regional infrastructure networks, from dozens of assets to thousands, from city districts to full smart city deployments. Multiple IFC models from different sources and different CDEs can be combined into a single unified geospatial environment, queried together, and updated independently — without rebuilding the underlying data architecture. A dedicated section addresses point cloud integration: how raw scan data can be ingested into the platform, segmented into meaningful components, enriched with structured attributes, and published on the GIS alongside traditional BIM models. This opens the door to accurate digital twinning of existing assets — infrastructure, heritage buildings, urban environments — where IFC models may not yet exist or may not be the primary data source. Taken together, these three capabilities — CDE interoperability, unlimited scalability, and point cloud support — define a new baseline for what a production-ready Geospatial Digital Twin platform should be able to do. Attendees will leave with a concrete understanding of the integration workflow, the technical architecture that makes it possible, and the practical implications for organizations managing large, heterogeneous asset portfolios across extended territories.

Digital twins, BIM-GIS integration, and modern reality capture workflows all depend on one foundational requirement: geospatial alignment. Yet in practice, lidar, photogrammetry, orthoimagery, and elevation data are often created from varying acquisition methods and coordinate reference systems, introducing misalignment that impacts accuracy, analysis, and downstream decision-making. This presentation demonstrates how geodetically inconsistent datasets can compromise the reliability of a digital twin, even when the underlying data itself is high quality. Using a real-world multi-source dataset consisting of terrestrial lidar, drone-derived photogrammetric point clouds, orthoimagery, and elevation models, attendees will see how coordinate inconsistencies create visible and measurable errors across both 2D and 3D environments. Using the latest version of Global Mapper and the integrated GeoCalc engine, the session walks through how disparate datasets can be transformed into a unified geospatial framework with consistent horizontal and vertical reference systems. Attendees will also see how new capabilities, including automated point cloud analysis and enhanced reality capture workflows, support more scalable, accurate, and operationally efficient geospatial processing. The result is a more accurate, trustworthy, and operationally useful product, along with a practical understanding of why geodetic integrity remains foundational to modern geospatial workflows.

Stonex provides advanced monitoring solutions for structural, geotechnical and environmental applications, supporting reliable and continuous assessment of infrastructure behaviour over time. Stonex monitoring systems is based on Robotic Total Stations and GNSS receivers, enabling high-precision data acquisition for long-term deformation and stability analysis. Total Station solutions ensure millimetric accuracy for detecting structural movements, making them ideal for localized and high-precision monitoring scenarios. GNSS systems provide continuous, global positioning capabilities, enabling large-scale and long-range monitoring applications. Both technologies can operate in automated or scheduled modes and are designed for long-term deployments, ensuring robust data continuity and reliability. All monitoring data are managed through the Cube-h²⁴ software suite, which enables real-time visualization, centralized data management, historical data archiving and advanced analysis. Customizable alert systems allow users to define thresholds and receive immediate notifications in case of critical events. The Stonex monitoring ecosystem is designed to support decision-making processes, reduce operational risks and optimize maintenance strategies across infrastructures such as bridges, tunnels, dams and construction sites.

This session explores how continuous optical deformation monitoring can complement traditional surveying and instrumentation on live infrastructure projects, using a UK tunnel monitoring case study as a practical example. The project involved monitoring tunnel deformation during nearby construction activities, including excavation and piling, where access constraints and maintenance requirements made conventional approaches challenging. A compact optical monitoring system was installed alongside an automated total station to observe the same survey targets, allowing direct comparison of performance, accuracy, and operational impact. Attendees will learn how continuous, remote monitoring can reduce site visits, provide earlier insight into structural behaviour, and support risk management without replacing established surveying methods. The session will focus on lessons learned from real deployment, including installation constraints, data interpretation, and how continuous data changes engineering decision-making.

Germany's Heat Planning Act (Wärmeplanungsgesetz, WPG) requires municipalities to divide their territory into prospective heat-supply areas including district-heating areas (Wärmenetzgebiete), areas to be examined (Prüfgebiete), and areas for decentralized supply by 2026/2028. In doing so, the responsible planning authorities must combine spatially rich but analytically isolated geodata (building footprints, ALKIS, the 2022 Census, LoD2 heights) with extensive and frequently amended legal and methodological texts. Existing energy atlases deliver static maps without legal traceability, while document-based AI tools remain location-agnostic. Neither answers the question that is decisive for any review: why is this hectare classified this way, and on what authority? We present a working geospatial decision-support prototype that treats auditability as a first-class design goal. Per-building heat demand is aggregated to a hectare grid and classified into three-level supply zones. Every classification is linked to both its underlying data and the governing legal clause. A spatially-grounded Retrieval-Augmented Generation engine (GeoRAG) answers free-form questions over the real corpus (the WPG, the federal Leitfaden Wärmeplanung, and a state guideline (KEA-BW)) returning deep-linked citations that explicitly distinguish binding law from advisory convention (e.g., the 600/300 MWh/(ha·a) density threshold is flagged as methodological, not statutory) and expose the underlying legal version (Rechtsstand). In the pilot city of Lippstadt (NRW; ≈1293 GWh/a total heat demand), 11806 hectare cells are classified into 537 district-heating candidates, 1112 Prüfgebiete, and 10157 decentralized cells and the 537 network-candidate cells concentrating 45.2% of total demand. The system fuses map and legal reasoning, surfaces measured-vs-modeled data-confidence, supports live what-if heat-source scenarios, and quantifies the classification's sensitivity to convention-based thresholds. Because the answers come from a swappable set of source documents, the same tool can be adapted to another region simply by exchanging federal guidance for state guidance. The contribution is a reusable design for heat-planning tools that stay spatially precise, always cite their legal source, and clearly mark where the data is uncertain, for use by municipalities, utilities, and planning offices. Keywords: GeoAI, Retrieval-Augmented Generation, municipal heat planning, WPG, spatial decision support, auditability, LLM grounding, Wärmewende

Reality capture workflows are evolving, no longer limited by how data is collected but by how quickly it drives changes. Where high-quality reality capture data provides a foundation, people bring context, expertise, and intent; and decisions translate insights into impact. This session examines how industry professionals are reducing bottlenecks by making data accessible and actionable across teams. Through our customers, we’ll show how connected workflows are improving efficiency, collaboration, and decision-making with solutions designed to move from capture to impact in real time.

Discover how CHC Navigation streamlines the complete 3D mapping workflow, from fast and intuitive data capture with the CHCNAV RS7 SLAM laser scanner to automated feature extraction and deliverable generation with CoProcess and CoCloud. Learn how an integrated reality capture ecosystem can reduce manual processing, accelerate project completion, and transform field data into actionable geospatial deliverables.

Gaussian Splatting has made it easier than ever to create beautiful, detailed 3D models of buildings, cities, and infrastructure. Yet for most teams, these models still require specialized tools, manual inspection, and significant effort to extract insights. This session explores an emerging paradigm: turning image captures automatically to interactive 3D Gaussian Splat environments using simple prompts. Instead of navigating complex software, users can begin to ask questions like: “Construct a Guassian splat using these images,” “Identify where vegetation is encroaching on power lines,” or “Extract machines on this factory floor as separate 3D models?” These interactions point toward a new layer - often described as spatial agents - where AI systems can interpret 3D environments and help surface insights such as measurements, risks, or areas of interest. Through examples across industries, we will explore how prompt-driven interaction could shift 3D models from static visualization toward more conversational systems, and what this may mean for the future of digital twins.

FJD Trion will present its latest approach to reality capture and workflow-ready deliverables at INTERGEO 2026, including a preview of our upcoming innovations. The session will focus on how modern scanning and GNSS technologies can help professionals move faster from field data capture to practical project outputs. Beyond product introduction, FJD Trion will share how LiDAR scanning, GNSS positioning, software processing, and digital construction technologies can be connected into complete workflows for surveying, mapping, construction, infrastructure, and digital site documentation. Key topics will include mobile reality capture, point cloud generation, Scan-to-CAD, Scan-to-BIM, and other workflow applications for complex environments such as construction sites, infrastructure assets, mines, power corridors, and robotics deployment. The presentation is designed for surveyors, geospatial professionals, construction teams, BIM specialists, digital construction users, and technology partners who are looking for more efficient ways to capture, process, and apply 3D data in real-world projects.

Precision location is the invisible foundation upon which Physical AI is built. In this talk, Tom Weeks, COO of Point One Navigation, explains how high-precision positioning technologies, specifically RTK (Real-Time Kinematic) and a modern positioning engine, enable autonomous systems to operate safely and reliably in the physical world. Whether autonomous vehicles, robots, or drones, autonomy breaks down without centimeter-accurate positioning. Tom will walk through how Point One Navigation's positioning engine fuses raw data from GNSS, IMU, and other sensors, then applies RTK correction data in real time to achieve centimeter-level accuracy, even in challenging environments such as urban canyons and GNSS-denied areas. Key topics include: - Why standard GNSS is insufficient for autonomy and what precision location actually requires - How RTK corrections work and why a robust positioning engine is critical to bridging the gap between raw satellite signals and actionable location data - The role of sensor fusion (GNSS + IMU + other modalities) in maintaining accuracy when satellite signals are degraded or unavailable - Real-world deployment examples of autonomous systems powered by precision location - The future of Physical AI and the role geospatial technology will play as autonomy scales Attendees will leave with a clear understanding of the technical requirements for precise positioning in autonomous systems and a framework for evaluating location solutions in their own Physical AI applications.

Day to day operations have surveyors working with complex datasets from a wide range of sources. As a result many businesses turn siloed specialized systems to manage different workflows. In this session we explore the power of an data agnostic, interconnected ecosystem built specifically for surveyors and their specialized workflows.

Building on decades of industry leadership and expertise Airbus is evolving its satellite constellation to meet the growing demands of the market. This evolution is driven by the introduction of multi-resolution and multi-sensor capabilities, aimed to provide unparalleled imagery and services through 2040 and beyond. The constellation will lead the premium market by delivering trusted 20cm-class native optical imagery. It will ensure market continuity by providing consistent 50cm imagery and advanced stereo imaging. The new capabilities will expand data diversity by guaranteeing reliable and continuous SAR data delivery. Pléiades Neo Next For more than a decade, Airbus has delivered very high-resolution optical imagery for institutional and defence users. Pléiades Neo Next extends this proven capability to address evolving operational needs and ensure long-term continuity of service. Pléiades Neo Next advances the established Pléiades Neo architecture, increasing capacity, sharpening resolution and accuracy, and securing reliable access for years to come. SUPERIOR IMAGE QUALITY Pléiades Neo Next is an advanced satellite enhancement designed to significantly upgrade imagery quality and operational capacity. By providing 20 cm-class native resolution and enhanced HD10 imagery, the system enables superior clarity for analyzing complex objects, monitoring critical infrastructure, and performing precise multi-temporal assessments. This high-resolution capability ensures that users can interpret fine details with greater accuracy and confidence. INCREASED COVERAGE AND SEAMLESS CONTINUITY Beyond image quality, the system dramatically boosts productivity and seamless integration. It expands daily coverage to 1.3 million km² across the Pléiades Neo constellation, with individual satellites capable of producing up to 600 images per day. Crucially, Pléiades Neo Next is fully compatible with the existing Pléiades Neo ecosystem, utilizing the same satellite architecture, ground control systems, and data formats. This ensures a smooth transition for users through identical interfaces and continued access via existing DRS and OneAtlas environments. CO3D Successfully launched on July 25, 2025, CO3D incorporates the latest innovative technologies from Airbus, designed to combine large-scale acquisition capacity with advanced 3D capabilities. By leveraging a unique dual-satellite configuration with high-performance processing capabilities, CO3D delivers both very-high resolution 50cm imagery and precise 3D models enabling users to access reliable, actionable insights at scale. A UNIQUE CONSTELLATION DESIGN CO3D features a unique four satellites constellation, organized in two pairs positioned in opposite phases along their orbit. This configuration allows the satellites to capture images simultaneously from different angles, enabling highly accurate 3D models with 1m accuracy. This orbit configuration maximizes daily acquisition capacity, ensuring large-scale coverage without compromising precision. AN AMBITIOUS GLOBAL MISSION Developed for the CNES (French Space Agency), with the mission to systematically map the Earth’s land surface in 3D. The mission targets the acquisition of at least 125 million km², with global coverage expected within 3 to 5 years, contributing to a consistent and high-resolution 3D representation of our planet. To optimize acquisition efficiency, the CO3D ground system integrates near real-time weather forecasts that are updated every 15 minutes, ensuring optimal imaging conditions and minimizing cloud interference. PAZ-2 Constellation AIRBUS' NEXT GENERATION SAR CAPABILITY Airbus & Hisdesat have signed a commercialization agreement for the PAZ-2 satellite mission, the Next-Generation Radar Constellation, designed to replace the current constellation (TerraSAR-X/TanDEM-X & PAZ) starting in 2031. PAZ-2 will provide unprecedented image quality and resolution of up to 10 cm, expanded area coverage and NRT delivery capabilities to significantly enhance global monitoring & surveillance as well as geospatial intelligence.

In an era of rapid urban transformation and increasing climate volatility, the demand for high-fidelity geospatial data has evolved beyond traditional mapping. Modern decision-making requires environments that are not only visually realistic but also physically consistent and reactive. This presentation explores the industrial evolution of Airbus Defence and Space’s 3D portfolio, demonstrating a tiered approach to solving complex environmental and operational challenges. We present a solution-oriented portfolio designed to bridge the gap between raw satellite acquisition and actionable digital twins: - High-Resolution Foundations: Delivering foundational Digital Surface and Terrain Models (DSM/DTM) at 0.5m GSD, providing the sub-metric precision necessary for accurate ground-clearance and line-of-sight computations. - Scalable 3D Mesh: Advanced automated reconstruction techniques that transform Very High Resolution (VHR) satellite imagery into reliable 3D models, offering a reliable middle round between raw data and immersive environments. - Integrated 3D Simulation Environments: The next frontier in our portfolio. By co-extracting terrain, semantic landcover (24 classes), and 3D objects from a single correlated source - specifically leveraging the Pléiades Neo constellation and the upcoming CO3D constellation - we ensure perfect internal consistency between all layers. This evolution is driven by the need for actionable insights. By strictly relying on real-world data rather than procedural generation, we provide the trustworthy foundations required for the next generation of calculations: urban thermal simulation, flood resilience modeling, and mission rehearsal in complex terrains. Our AI-driven pipeline enables the rapid generation of these massive datasets, while adhering to OGC standards such as 3D Tiles and Cloud Optimized GeoTIFF (COG) to ensure seamless interoperability. Looking forward, this ecosystem is designed to support evolving the diversity of industry requirements, with additional standard formats like OGC CDB or MIMs plus AOI currently being prepared for future catalog integration.

MetGIS GmbH, a spin-off of the University of Vienna (Institute of Meteorology and Geophysics), specializes in high-resolution weather forecasts and historical weather and climate data. Unlike the usual standard, MetGIS incorporates ultra-high-resolution terrain data into its weather simulations. This data feeds the company's proprietary downscaling algorithms, resulting in calculations of the highest quality. A unique development of MetGIS is the web-based Pro+ Weather Dashboard. This graphical user interface allows users to view operational weather forecasts for very limited areas in extreme detail (with resolutions down to 30 m!) and – for the first time – in 3D. A true international innovation! In this presentation, attendees will learn about high-end weather simulation systems, see various 3D animation examples, and discover how to access the data via APIs. These include point forecasts (including long-range forecasts for up to 7 months), weather maps, historical weather data, climate data, snow cover data, precipitation radar, and weather alerts. MetGIS algorithms are already finding useful applications in a wide variety of industries, such as energy, agriculture, transport and logistics, construction, open-pit mining, tourism, and winter sports.

Fathom is an advanced airborne lidar system optimized for high resolution shallow water bathymetry and topographic mapping in coastal zones, rivers, and inland waterways. It is specifically designed to support river management, sediment transport studies, environmental monitoring, coastal security, and geomorphologic investigations, where shallow depths and complex land–water transitions dominate. The system employs an integrated topo bathy architecture combining a dual frequency 60 kHz bathymetric laser (532 nm and 1064 nm) with a four channel segmented detector array optimized for shallow water. This configuration enables robust bottom detection up to 21 m in clear water (Kd ≈ 0.1) for coastal and riverine environments, while maintaining deeper water capability up to 32 m. An effective 240 kHz bathymetric sounding rate in full waveform mode is complemented by a 1.5 MHz topographic channel, allowing seamless, single pass acquisition across land and water surfaces under a unified calibration framework. This paper presents validation results from test flights over Lake Ontario and Lake Huron, using Canadian Hydrographic Service (CHS) reference data. Results demonstrate sub decimeter vertical coherence, reliable water surface detection, and shallow water performance consistent with system design expectations. The measured accuracies meet IHO S 44 Order 1a bathymetric and USACE QL0B topographic standards, confirming Fathom’s suitability for precision shallow water mapping, hydrographic charting, and rapid response operations in dynamic coastal and riverine settings.

The precise surveying of railway infrastructure under live operating conditions represents a significant challenge. Strict safety requirements, limited accessibility, and operational constraints considerably restrict conventional measurement methods. The use of drone-based laser scanning provides an innovative and practical solution. UAV-based LiDAR data acquisition from outside hazardous areas significantly enhances personnel safety while enabling efficient capture of large track sections within short timeframes. High absolute accuracies are achieved through the integration of kinematic UAV scan data with terrestrial laser scans. Georeferencing is performed via track survey control points, which are automatically detected and incorporated within the terrestrial datasets, ensuring a robust and consistent overall geometry. The presented method combines safety, efficiency, and precision, offering substantial benefits for end users in the digital acquisition, analysis, and planning of railway infrastructure - even under real operating conditions.

This presentation addresses a key question in the geospatial industry: what can artificial intelligence deliver today in LiDAR processing, and how does it work in practice? Using LP360 as a reference platform, the session demonstrates modern AI-based classification workflows capable of automatically segmenting point clouds into classes such as ground, vegetation, building roofs, roof objects, walls, vehicles, bridge decks, and water surfaces. In addition, specialized AI workflows are presented, including automated tree segmentation for forestry applications and feature extraction for transmission line projects, such as wires, towers/poles, insulators, and guard wires. The presentation includes professional results from real-world mapping projects, explains how the tools operate, and highlights advanced use cases where AI supports the generation of orthomosaics and cartographic products. The goal is to provide a clear and practical understanding of how AI can increase efficiency, reduce manual effort, and improve the overall quality of LiDAR deliverables.

Model-based infrastructure workflows depend on high-quality, consistent data for machine control and surveying. In practice, creating and preparing that data for mixed-brand worksites can still be complex. Differences in file formats, coordinate and height reference systems, and project coding practices can create inefficiencies and limit interoperability across the site. Xsite Rewise is designed to simplify this process. Launching internationally at INTERGEO 2026, the software enables users to create and manage model-based data for machine control and field surveying in a more efficient and standardized way. It is built to work with common model data formats used across the industry, helping users prepare and refine project data for a wide range of infrastructure worksite workflows. In addition, Xsite Rewise also supports ISO/TS 15143-4 worksites by handling and producing the key data elements defined by the standard. These include the standard’s own exchange format, ISOLandXML, as well as the management of coordinate systems, height systems, and code lists. Xsite Rewise brings these essential project definitions together into one workflow, helping users prepare data more consistently for modern infrastructure worksites. In the case of Novatron’s Xsite Manage, this information can also be transferred directly to the cloud, supporting connected and scalable site workflows. This session introduces Xsite Rewise and shows how it helps turn model preparation into practical everyday workflows. It highlights how the software supports more efficient data production for machine control and surveying across different file formats and project environments, and how Novatron is turning both open model-based workflows and ISO/TS 15143-4 compatibility into practical solutions for connected infrastructure projects.

We started as a small Scan2BIM company and quickly realized that standard project management tools were not enough for scaling operations internationally. As the number of projects, employees, subcontractors, and countries grew, we began developing our own ERP system tailored specifically for Scan2BIM workflows and production management. We built the system directly in code instead of using existing boxed or low-code ERP solutions, because they were not flexible enough for our operational needs. The platform now covers: project and workflow management, internal teams and subcontractors, deadlines and execution control, KPI and motivation systems, equipment tracking, work schedules, travel expenses, financial processes and receivables, production analytics. Today we continue expanding the platform into a full ecosystem for Scan2BIM, architecture, and design studios by integrating: BIM viewers, task trackers, collaboration tools, This presentation is our practical experience of building a scalable operational ecosystem that enabled us to deliver more than 2,000 projects and 1 million m² across the US, UAE, and the European Union.

In the high-pressure environment of formwork and concrete trades, traditional reality capture is often too slow to be actionable. This session explores how "Edge Intelligence"—processing data directly in the field—transforms scanning from a passive recording tool into an active quality-validation system. By analyzing site conditions in real-time, we enable the immediate detection of deviations between perfect digital designs and imperfect physical environments . We will examine how this automated workflow distinguishes between structural elements and job-site variables, providing layout professionals with high-fidelity integrity reports on demand. Attendees will learn how shifting intelligence to the field minimizes data latency and empowers teams to maintain rigorous quality standards without sacrificing velocity.