Researchers Use Gaussian Splatting for Repeat Site Captures

I can now estimate what a K2 scan costs, battery and storage. That kind of insight makes planning a full day so much easier. My friend and colleague Eric Osbun pushed me on this after the last post, particularly on how much the phone running LixelGO adds to the equation. That was worth answering properly. Version 2.2 of the guide is live now, with a new section on my experience of the battery life, for the K2 itself and for the phone running it, plus what that means for planning back-to-back scans. I've run multiple captures since the last post, and the XGRIDS K2 keeps proving how flexible and capable it is. It sits alongside the RTK, GCP and fusion sections from the first release. What's caught you out most on a shoot, battery, storage, or something else entirely?

Missed our recent webinar or want to revisit the workflows we covered? The full replay is now available to watch on demand. 🎥 In "Visualizing with Purpose: How to Tell a Clear Story with Your Subsurface Data," Surfer Pro Drew Dudley demonstrates practical ways to explore complex subsurface data, uncover important details, and transform your findings into clear 2D and 3D visualizations. Watch the replay to learn how to: ✔️Use multiple clipping planes to isolate and examine specific areas of a 3D model ✔️Apply 3D grid filtering to focus on the data that matters most ✔️Create image slices and contour slices along paths to investigate subsurface features ✔️Save slices as grids to create useful 2D cross sections ✔️Add document comments to keep project context and feedback connected to your work ✔️Create clearer legends for base layers that don’t use symbology Whether you couldn’t make the live session or want another look at a specific workflow, the replay gives you the opportunity to explore these techniques at your own pace. Watch the webinar on demand now to discover new ways to turn complex subsurface data into visualizations that communicate your findings with clarity and confidence. 🔗https://hubs.la/Q04yscGk0 #Surfer #3DModeling #SubsurfaceModeling #DataVisualization #Geoscience #Hydrogeology #EnvironmentalEngineering #SpatialAnalysis #GoldenSoftware

The Hexagon GeoCloud May update is out - a few things worth flagging if you work with large geospatial datasets. 📐 Measurements in Scenes Measurement tools are now available directly inside scenes, not just on the asset page. They anchor to the scene root and persist between sessions, so they stay put even when individual datasets are moved around. 🗂️ Scene from Project You can now turn an entire project into a scene in one step. The folder hierarchy carries over as grouped nodes in the scene tree — no more dragging assets in one by one. Point clouds, meshes (inc. BIM), and vector data are included automatically. 🎨 Generic Scenes Scenes are no longer tied to inspection workflows. Start with a blank scene, or select a group of assets and create a scene directly from them. Useful for stakeholder reviews or when you want a focused view without touching the main project. ⚡ Also in this update: • Large scenes open faster and stay responsive with high node counts • hxdr.app now redirects directly to geocloud.hxdr.app #realitycapture #software #cloud

Launched cross section vectorization today in Mineflow! We can now automatically pull cross section images out of documents and project them into 3D space and let you export them to other geological modeling software. Documentation here: https://lnkd.in/eznSJ73X

Two spatial technologies. One for visual fidelity. One for accuracy. The missing piece is how to bring them together. A multimodal viewer where the Gaussian Splat provides the visual experience and a separate point cloud sits behind it, called up when precision is needed. Not a mode switch but a contextual layer. You navigate in the GS,you measure in the cloud. Last week a CEO of a well-funded spatial data platform jumped into one of my posts to tell me his engineering team had arrived at the same architecture independently. That's the moment you know something has shifted. Not a trend piece. Not a prediction. Two practitioners, different ends of the industry, same conclusion. The delivery model for spatial data is changing. Clients won't accept raw scans much longer. They'll expect environments they can inhabit and interogate in the same breath. The image above is a screen grab from my own proof of concept. The green window is the point cloud, called up inside the GS view. Real data. Real measurement. One unified environment. What are your clients actually asking for right now, the visual or the numbers?

Studio Geo built to keep geological models current as new information arrives. Use Dynamic Modelling to identify and rerun relevant tasks, focus updates on the parts of the workflow that have changed, and reduce repetitive rebuilding. Discover more: https://lnkd.in/gTNjvsti

Why not try your *.b2g files in HxDR Reality Cloud Studio… 👀 You can take advantage of auto-registration of walks in the platform too! 👏🏻 #realitycapture

When analyzing the relationship between reference surfaces (Ellipsoid vs. Geoid), a fundamental question arises that touches both historical practices and modern geospatial workflows: Is the Vertical Datum completely independent of the Horizontal Datum? Can a specific Vertical Datum fail to work with a certain Horizontal Datum? From a geodetic standpoint, the perspective shifts depending on the framework: 🔹 Historically: They were treated as two distinct worlds. The Horizontal Datum relied on a local reference ellipsoid for (X, Y) coordinates, while the Vertical Datum was defined by tide gauges measuring Mean Sea Level (MSL) for orthometric heights (H) via spirit leveling. 🔹 In the Modern GNSS Era: Position coordinates are intrinsically 3D (X, Y, Z). The fundamental geodetic equation links them: Where h is the ellipsoidal height, H is the orthometric height, and N is the geoid undulation. Because N represents the exact separation between the geoid and a specific reference ellipsoid, the two datums become inherently intertwined. The Core Question for Debate: If we apply a global geoid model (like EGM2008 built on WGS84) directly to horizontal coordinates based on a legacy local datum (e.g., Ain el Abd or Hayford 1924), vertical discrepancies can quickly reach meters—leading to catastrophic errors in slope, drainage, and earthwork calculations. Does this mean modern surveying demands an inseparable 3D/4D datum framework, or are there still practical engineering scenarios where independent vertical and horizontal handling remains viable? #Geodesy #Surveying #GIS #SurveyEngineering #GNSS #GPS #Geoid #Ellipsoid #CivilEngineering #Geospatial

Your utility map is a flat PDF. Ours is a live 3D model. TerraNexa's Cesium-powered infrastructure views let ops teams see pipes, poles, and fault lines exactly where they sit - rotate, zoom, click in. No more guessing from a 2D overlay. Link in reply. #GIS #UtilityInfrastructure

Major changes in LithoVox voxel model 2D creator. It now follows a user defined flow to optimize the input and output data based on specific scenarios. This enables optimal workflow for sparse or rich sub soil data so the created model generates the best possible outcome. An example can be to remove the top layer of a levee from the kriging process and bringing it back according to user defined rules after the kriging process. Many more post en pre processes can be chosen or defined in a node based way. Contact me for more info on how LithoVox can create your 2D or 3D voxel models of the subsurface. #lithovox #breinbaas #geotechnicalengineering #voxelmodels #subsurface #arcgis #qgis #watersafety

This is a great application of hyperspectral analysis in #Arcgis. I especially like that the approach adapts to the specific bands you have available, using Pixxel as the data source. Hong Xu Mubarakat Shuaibu

Level up your Leapfrog modelling skills with Niklas Sääv. One of the other longest Leapfrog modelers I know. For anyone wanting to learn how to make that model look right he will take you through: -Select the right surface: Review surface types and editing options and discover why a single surface type may not suit every area. - Manipulate intrusion surfaces: Master when and where to edit, understand what you can achieve with parameters alone, and know when to introduce additional data. - Validate and refine your edits: Maintain model integrity as new data arrives and learn how to evaluate and edit existing interpretations