TopoExport

🇯🇵 Bringing Japan to TopoExport 🌸 Japanese geospatial data is on another level, both in richness and precision! It’s been a fascinating pipeline to integrate it into TopoExport. Here’s how we processed the 3D building data: - LoD2 from MLIT PLATEAU - LoD0 from GSI (基本項目) enriched with OSM data And for terrain: - DTM 1m from GSI (partial coverage) - DTM 5m from GSI (full coverage) This combination allows us to deliver highly detailed and scalable datasets, ready for architecture, urban planning, and landscape design workflows. #geospatial #3Ddata #GIS #urbanplanning #architecture #TopoExport #Japan #digitaltwin --- 🇯🇵 日本のデータをTopoExportへ🌸 日本の地理空間データは、その豊富さと精度において非常に優れています。TopoExportへの統合はとても興味深いプロセスでした。 3D建物データの処理方法： ・MLIT PLATEAUのLoD2 ・GSI（基本項目）のLoD0にOSMデータを統合 地形データ： ・GSIのDTM 1m（部分カバー） ・GSIのDTM 5m（全国カバー） これにより、建築・都市計画・ランドスケープ設計に適した高精度データを提供できます。 #GIS #3Dデータ #都市計画 #建築 #地理空間 #TopoExport #日本 #デジタルツイン

⚡ A new tool (coming soon) to shape the world: TOPOSECTION ✂️ TopoSection is a simple and fast tool to generate landscape sections anywhere in the world. With it, you can slice through: - Buildings - Roads - Hydrology - Trees - Green areas - Terrain About the data: TopoSection is designed to leverage the full power of our TopoExport API aggregating hundreds data sources enriched with our own datasets (🌳 3.7 billion trees mapped in France). You can explore our data sources here: https://lnkd.in/e2i6NcpN Official launch coming soon! 🚀 #TopoSection #TopoExport #LandscapeSections #GIS #Architecture #Landscape #UrbanDesign

💡 NEW UPDATE: RAW FORMATS NOW AVAILABLE 🧩 ➡️ GEOJSON, GEOTIFF, TXT (XYZ coordinates) We’ve added three new formats on TopoExport, now available in a dedicated tab. These formats open up new use cases for the application: - Import optimized terrain directly into ArchiCAD - Import native terrain into Revit - Better integration of data in QGIS - Easier web visualization of your data More imported datasets and new features are coming very soon! 😉 Check out our work at https://topoexport.com/ #TopoExport #GIS #Archicad #Revit #QGIS #GeoJSON #GeoTIFF #XYZ #3DModeling #TerrainData #Mapping #UrbanPlanning

🌿 2.1 BILLION HEDGEROWS mapped and ready to use across France thanks to IGN HD LiDAR 🚀 Easily create a digital vegetation twin of France: TREES + HEDGEROWS on TopoExport.com! After georeferencing 3.7 billion individual trees using IGN HD LiDAR data, we extended this work by automatically generating 2.1 billion hedgerows from the mapping of the average vegetation layer. Why map the average vegetation layer? Bushes, hedgerows, and bocage landscapes are essential for our territories: 🐸 Biodiversity reservoirs; 🐾 Ecological corridors; 🌾 Soil and wind protection; 💧 Water regulation; 🌍 Carbon storage and a key rural landscape indicator. How the data appears on TopoExport: 2D mapping (GIS & CAD): - Ground projection layer of the average vegetation layer (0.5 to 2 m), crucial for understanding ecological continuities; - Automatic generation of hedgerow axes to facilitate corridor analysis; - Precise canopy footprint, useful for shading and green network planning. 3D modeling (CAD & BIM): - Hedgerow axes projected onto the DEM; - Procedural generation of 3D hedgerows with automatic height adaptation based on HD LiDAR data. Access this vegetation data in two ways: 👉 Via TopoExport.com Formats: DXF, PDF, SVG, IFC, OBJ, STL and glTF; 👉 Via our API Formats: GeoJSON, glTF/GLB. We will continue improving this dataset’s accuracy. Currently IGN LiDAR coverage is limited to part of metropolitan France. #LidarHD #IGN #TopoExport #Trees #Hedgerows #Vegetation #Mapping #contextmap #sitemap

🚀 Mass Nationwide LoD2 deployment in 2026 : 5 European countries (🇩🇪, 🇨🇭, 🇱🇺, 🇳🇱, 🇪🇪) already imported in TopoExport! LoD2 buildings are essential to the construction and renovation ecosystem. Why this data is a game changer: ☀️ More accurate solar and shading analysis; 🏙️ Support for architectural, urban, and landscape planning; ⚡ Finer estimation of energy needs and performance; 🌱 More reliable input for environmental and regulatory studies. Next step: designing a nationwide LoD2 dataset for France using IGN HD LiDAR. Our objective: ⏱️Deliver, in Q1 2026, a national digital twin of French buildings through automated roof generation and segmentation from IGN LiDAR point clouds. You can already test our digital twin generation: 1️⃣ On the TopoExport web application: https://topoexport.com 2️⃣ Via the TopoExport API: https://topoexport.com/api 🌍 Nos sources LoD2 déjà intégrées : Deutschland 3D Gebäudemodell LoD2 (Allemagne) : Baden-Württemberg: Landesamt für Geoinformation und Landentwicklung Bayern: Bayerische Vermessungsverwaltung Berlin: Geoportal Berlin Brandenburg: Landesvermessung und Geobasisinformation Brandenburg Bremen: Landesamt GeoInformation Bremen Hamburg: Landesbetrieb Geoinformation und Vermessung Hessen: Hessische Verwaltung für Bodenmanagement und Geoinformation Niedersachsen: Landesamt für Geoinformation und Landesvermessung Niedersachsen Mecklenburg-Vorpommern: Landesamtes für innere Verwaltung Mecklenburg-Vorpommern Nordrhein-Westfalen: Landesbetrieb Information und Technik Nordrhein-Westfalen Rheinland-Pfalz: Landesamt für Vermessung und Geobasisinformation Rheinland-Pfalz Sachsen-Anhalt: Landesamt für Vermessung und Geoinformation Sachsen-Anhalt Schleswig-Holstein: Landesamt für Vermessung und Geoinformation Schleswig-Holstein Thüringen: Zentrale Geodatendienstleistung Thüringen Switzerland: Office fédéral de topographie swisstopo : swissBUILDINGS3D 3.0 Beta Luxembourg: Administration du cadastre et de la topographie : BD-L-BATI3D Nederland (Pays-Bas): tudelft3d en 3DGI : 3DBAG Eesti (Estonie): Maa- ja Ruumiamet : Hooned LoD2 #IGN #TopoExport #LidarHD #Buildings #Lod2 #DigitalTwin

🌳 3.7 BILLION TREES mapped and ready for use across France using IGN HD LiDAR 🚀 For several months, we have been working on the automated detection and mapping of individual trees based on IGN HD LiDAR data. We have just finalized the production of our first nationwide dataset 🌍 For each tree, we now provide: 📍 Accurate XYZ position ; 🌿 Precise 2D canopy footprint (to be released soon) ; 📏 Relative canopy height ; ⭕ Canopy diameter ; Concrete use cases for tree data: 🌡️ Mapping and mitigation of urban heat islands ; 🌱 Smart management of natural resources ; 🌍 Carbon sequestration assessment ; 🏙️ Support for architectural, urban, and landscape planning ; Access this new vegetation dataset today: 👉 On TopoExport.com: formats available DXF, PDF, SVG, IFC, OBJ and STL ; 👉 Via our API: formats available GeoJSON, glTF and GLB ; We will continue to improve this dataset to further enhance its accuracy. At this stage, IGN LiDAR coverage is limited to part of mainland France. We would like to thank our partners the Ecole Nationale Supérieure d'Architecture et de Paysage de Lille and the French Ministère de la Culture (SNI) for their unwavering support. #LiDARHD #IGN #IGNFrance #TopoExport #Trees #Mapping

🎉 New year = new challenges! 👉 Become the world’s N°1 geospatial data aggregator 🌍 With TopoExport, our ambition is clear: to build the world’s largest platform (Application + API) for aggregating sovereign geospatial data, dedicated to professionals who need to leverage geodata in their activities. What we aggregate: 🏘️ Building footprints 🏛️ 3D buildings (LoD2) 📐 Cadastral parcels 🌊 Hydrography 🛣️ Roads 🚆 Railways 🌳 Green spaces & trees ⚙️ With TopoExport, we fully control the entire technology stack, from data acquisition to data delivery. This allows us to precisely manage: data storage and architecture update and synchronization processes redistribution in standardized formats optimized for quality and fast access 🔁 Data redistribution Via topoexport.com: Download ready-to-use data worldwide for architecture software : DXF, IFC, PDF, SVG, OBJ and STL Via our API: Seamlessly integrate sovereign geospatial datasets worldwide in GeoJSON, GLB and TIF 🆕 Latest update : New datasets integrated Luxembourg - 2D Buildings: BD-L-GeoBase (ACT) - 3D Buildings: BD-L-BATI3D (ACT) - Roads: BD-L-GeoBase (ACT) - Railways: BD-L-GeoBase (ACT) - Hydrography: BD-L-TC 2015 (ACT) Spain - 2D Buildings: National Topographic Database (IGN) - Roads: National Topographic Database (IGN) - Railways: National Topographic Database (IGN) - Hydrography: National Topographic Database (IGN) Czech Republic - 2D Buildings: RÚIAN (ČÚZK) - Cadastre: Parcely (ČÚZK) - Hydrography: ZABAGED® topography (ČÚZK) - Railways: ZABAGED® topography (ČÚZK) Austria - Buildings LoD1: Digital Landscape Model (DLM) (BEV) - Cadastre: Digital Cadastral Map (DKM) (BEV) Denmark - Roads: Vejmidte (GeoDanmark) - Railways: Jernbane (GeoDanmark) Norway - Cadastral parcels: Matrikkelen – Property Parcel Map (Kartverket) Estonia - 3D Buildings LoD2: Surface Height Models (Maa- ja Ruumiamet) Netherlands - 3D Buildings LoD2: 3DBAG (TU Delft & 3DGI) United States - Parcels: NC Parcels (NCDIT) - Parcels: Parcels TaxRoll (State of North Dakota) - Parcels: Standardized Parcel Data (VCGI) - Parcels: Virginia Parcels (VGIN) - Parcels: Washington State Parcels Project (WaTech GIS) - Parcels: Tax Maps (West Virginia GIS Technical Center) - Parcels: V11 Statewide Parcel Data (Wisconsin Land Information) 📣 Feel free to suggest new datasets to add in the comments! 🔗 Explore all available datasets here: https://lnkd.in/e2i6NcpN #GeoData #GIS #BIM #CAD #Architecture #UrbanPlanning #TopoExport #API #DigitalTwin

We are moving closer to an on-demand automatic generation system for digital twins powered by HD LiDAR 🤠 🎯 Our objective: In the coming weeks, we aim to deliver vegetation and building datasets reaching a high level of fidelity compared to the real conditions of French territories. Our work is based on GIS synthesis of multiple layers derived from IGN HD LiDAR data. 🌳 INDIVIDUAL TREES: From LiDAR point clouds, we are now able to automatically reconstruct individual trees in 3D. Each tree is unique and modeled with variable parameters: 📏 Canopy height ; ⭕ Canopy diameter ; 🌿 Trunk width ; 🫧 Adjustable number of points and facets to match all levels of detail (LoD). 🏗️ BUILDINGS LoD2: Using 2D building footprints combined with LiDAR data, we automatically generate 3D buildings with roof modeling. Thanks to semantic attributes, we distinguish: 🧱 Wall modeling ; 🏠 Roof modeling ; A wide range of roof typologies is supported, including: mono-pitch roofs, gable roofs, hipped roofs, half-hip roofs, mansard roofs, pyramid roofs, shed roofs, asymmetric roofs and more. 🌍 HD TERRAIN: The use of HD LiDAR significantly improves the quality of Digital Terrain Models (DTM) and enables: ⛰️ Finer surface modeling ; 💧 More accurate runoff analyses ; ⚡ More reliable results than traditional raster-based DTMs. Do you need context site models, urban site models, or high-precision automated 3D data generation from LiDAR? We can support you with this type of production. 📩 Contact us at: contact@topoexport.com Access GIS syntheses in DXF, IFC, OBJ, STL, etc across Europe and worldwide at topoexport.com. Soon, all of our LiDAR based workflows will be available directly on the platform and via the API. #LiDAR #3D #Geomatics #GIS #BIM #Architecture #Landscape #IGN #DigitalTwin #TopoExport

✨ UPDATE: New Generation of TopoExport Exports! We have added, in addition to the existing vector layers, full 3D meshes for three key layers: 🛣️ Roads ; 🌊 Hydrography ; 🌿 Green areas. These meshes make it easier to: - Edit surfaces ; - Quickly extrude 3D volumes ; - Improve file interpretation in Rhino, Revit, ArchiCAD and Vectorworks. 🔧 Optimized Layer Structure All layers are now color-coded, renamed and reorganized to minimize post-processing, allowing designers to focus directly on data exploitation. ⚙️ Back-End Improvements A complete overhaul of our processing system now enables much faster export generation. Long wait times for 50 km² files are a thing of the past. 🎁 Free exports up to 1 km² Try your exports for free on TopoExport.com up to 1 km²! #TopoExport #CAD #BIM #Rhino3D #Revit #ArchiCAD #Vectorworks #DigitalTwin #3DMesh