Ellipsis Drive’s Post

Following the recent enhancement of our change detection capabilities in Picterra, we've written a new technical blog piece to dive deeper into what's new and how it works 🌟 Our latest upgrade focuses on making change detection more flexible and accurate. Here’s how: 🔍 Dedicated change detection models: Create specialized models to identify changes between two images, whether new construction, deforestation, or other significant changes. 🖥️ Advanced split-view UI: Annotate changes seamlessly with our split-view interface, seeing your annotations update in real-time across before-and-after images. 🌈 Multispectral analysis: Use multispectral imagery for detailed analysis. Perfect for environmental monitoring like deforestation with RGB and Near-Infrared images. 🧠 Robust machine learning architecture: We’ve implemented ChangeStar and Farseg models to boost accuracy and scalability, offering up to 20% improvement on specific datasets. 🔄 Continuous monitoring: Automate your change detection process with our API for regular updates, paving the way for time series analysis. Stay tuned as we continue to push the boundaries of geospatial analysis with Picterra! #Geospatial #RemoteSensing #AI #MachineLearning #ChangeDetection #ImageryAnalysis #TechInnovation #Picterra

Probably the best summary I have seen on geospatial analytics in a while - 𝐓𝐡𝐞 𝐏𝐞𝐫𝐢𝐨𝐝𝐢𝐜 𝐓𝐚𝐛𝐥𝐞 𝐟𝐨𝐫 𝐒𝐩𝐚𝐭𝐢𝐚𝐥 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬 by @GISGeography 𝐒𝐨𝐮𝐫𝐜𝐞 : https://zurl.co/smZ7 𝐒𝐮𝐦𝐦𝐚𝐫𝐲 : 𝐕𝐞𝐜𝐭𝐨𝐫 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬/𝐂𝐨𝐧𝐯𝐞𝐫𝐬𝐢𝐨𝐧 1. Vector Conversion [VC] 2. Extract [EX] 3. Overlay [OV] 4. Proximity [PX] 5. Spatial Join [SJ] 6. Plot Diagrams [PD] 7. Geometry Shape [GS] 𝐓𝐚𝐛𝐥𝐞𝐬 8. Table Tools [TB] 9. Add XY Coordinates [XY] 10. Calculate Geometry [CG] 11. Join Table [JT] 12. Relate [RL] 13. Statistics [ST] 𝐄𝐝𝐢𝐭𝐢𝐧𝐠/𝐂𝐚𝐫𝐭𝐨𝐠𝐫𝐚𝐩𝐡𝐲 14. Editing [ED] 15. Conflation [CF] 16. Grid Index [GI] 17. Cartographic [CA] 3𝐃 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬 18. 3D Analysis [3D] 19. Line of Sight Visibility [LS] 20. Volume [VS] 21. Viewshed [VW] 22. Skyline [SL] 23. Space-time Cubes [SC] 𝐍𝐞𝐭𝐰𝐨𝐫𝐤 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬 24. Route [RT] 25. Directions [DR] 26. Optimal Site [OS] 27. Coverage [CV] 28. OD Cost Matrix [CM] 29. Huff Model [HM] 𝐃𝐚𝐭𝐚 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭 30. Data Management [DM] 31. Projections [PJ] 32. Generalize Vector [GV] 33. Address Geocoding (AD) 34. Topology [TP] 35. Linear Referencing [LR] 36. Spatial Adjustment [SA] 37. GeoEnrich [GE] 38. Sampling [SP] 39. Geotagging [GT] 40. Parcel Fabric [PF] 41. Attachments [AT] 42. Full Motion Video [FMV] 43. COGO [CO] 44. Point Cloud [PC] 45. Web Service [WS] 46. TIN [TIN] 47. Indoor Mapping [IM] 48. Temporal [TM] 49. Real-time Tracking [TR] 𝐄𝐦𝐞𝐫𝐠𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲 50. Big Data [BD] 51. Machine Learning [ML] 52. Data Engineering [DE] 53. IoT [IOT] 54. Agent-based Simulation and Modeling [AS] 55. Virtual Reality [VR] 56. Augmented Reality [AR] 𝐑𝐚𝐬𝐭𝐞𝐫 𝐃𝐚𝐭𝐚 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭 57. Georeferencing [GR] 58. Mosaic [MO] 59. Raster Creation [RC] 60. Spatial Autocorrelation [AL] 61. Generalization [RG] 62. Multidimensional [MD] 63. Resample [RS] 64. Raster Painting [PA] 𝐑𝐚𝐬𝐭𝐞𝐫 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬 65. Raster Analysis [RA] 66. Map Algebra [MA] 67. Contours [CN] 68. Zonal Statistics [ZS] 69. Cost Path [CP] 70. Raster Processing [RP] 71. Spatial Regression [RE] 72. Terrain Analysis [TA] 73. Math Function [MF] 74. Suitability [SU] 75. Conditional [CON] 𝐑𝐞𝐦𝐨𝐭𝐞 𝐒𝐞𝐧𝐬𝐢𝐧𝐠 76. Band Index [BA] 77. Image Stretching [IS] 78. Image Classification [IC] 79. Composite Bands [CB] 80. Pansharpening [PS] 81. Atmosphere Correction [AC] 82. Segmentation [SG] 83. Data Mining [DN] 84. Mensuration [ME] 85. Photogrammetry [PH] 86. Oblique [OB] 87. Radar [RD] 𝐈𝐧𝐭𝐞𝐫𝐩𝐨𝐥𝐚𝐭𝐢𝐨𝐧 88. Interpolation [IP] 89. Kriging [KR] 90. Kernel Density [KD]

SYSTRA are back at Modelling World this year! 🤝 We’re very excited to return to Modelling World this year for another jam-packed event full of plenary sessions on current hot topics, parallel technical sessions on innovation, data and visualisation, and the exhibition - we’re also proud sponsors! Our experts are involved in a number of sessions on the day, so make sure you check them out! 🤔 Opening plenary on the morals of modelling - Katie Hall, our Transport Planning Business Director, will be on a panel alongside Erica Thompson, John Bates and Simon Lusby CTPP asking, how do we ensure we best reflect future transport needs in our decision-making? 🔮 Dynamics in modelling - Sandra Hill-Smith, Associate for microsimulation at SYSTRA, will be chairing a session around model forms that reflect dynamics in decision-making, by different population groups, including very short-term predictions. Mia-Jade Thornton, Michael Oliver, Michael Mahut, Tessa Hayman and Edward Blake will all be on the panel. 💡 New tools to support innovation - Llewelyn Morgan, our Head of Innovation, will be joined by Robin Lovelace, Robin North, Robyn Brass and Laurence Oakes-Ash for a panel discussion focused on understanding the new challenges for modelling and forecasting, which will include conversations surrounding data science and AI! Come along and chat to our experts at our SYSTRA and Paramics Microsimulation stands! Find out more: https://lnkd.in/eQBhjP_c #ModellingWorld #ModellingWorld2024 #datamodelling #modelling #transportmodelling #transportplanning #futuretransport #futureoftransport #transport #microsimulation #transportinnovation #AI #datascience

Keeping up-to-date data sets for large project areas can be a challenge. With our aerial data services, you can get a full picture of your worksite, starting with aerial imagery data collection from our fixed-wing aircraft. We then deliver aerial data analytics and solutions to provide you with the up-to-date and detailed information you need to make informed decisions across your operations. Our expert aerial and vector data can be used to: ➡️ Create models and ongoing datasets. ➡️ Enjoy an instant, highly visual understanding of the structures you deem important. Learn more about planimetric mapping here. ➡️ Make pivotal decisions in change detection operations and proactive monitoring. ➡️ Implement machine and deep learning solutions to make data collection and analysis easier and scalable. Shoot us a DM to learn more! #gis

🛣 𝐒𝐭𝐫𝐮𝐠𝐠𝐥𝐢𝐧𝐠 𝐭𝐨 𝐧𝐚𝐯𝐢𝐠𝐚𝐭𝐞 𝐭𝐡𝐫𝐨𝐮𝐠𝐡 𝐜𝐨𝐦𝐩𝐥𝐞𝐱 𝐝𝐚𝐭𝐚𝐥𝐨𝐠𝐬? 𝐇𝐞𝐫𝐞'𝐬 𝐡𝐨𝐰 𝐭𝐨 𝐬𝐭𝐫𝐞𝐚𝐦𝐥𝐢𝐧𝐞 𝐲𝐨𝐮𝐫 𝐚𝐧𝐚𝐥𝐲𝐬𝐢𝐬 💡 Efficient and flexible datalog navigation is crucial for analyzing and improving ADAS features. Navigating through vast amounts of data quickly and accurately ensures that issues are identified and resolved promptly. ✅ 𝐄𝐚𝐬𝐲 𝐍𝐚𝐯𝐢𝐠𝐚𝐭𝐢𝐨𝐧: IVEX tools make it simple to navigate a datalog, allowing users to quickly find relevant data points. ✅ 𝐌𝐞𝐭𝐫𝐢𝐜-𝐆𝐮𝐢𝐝𝐞𝐝 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬: Perform metric-guided analysis to pinpoint specific events or conditions within the datalog, enhancing the precision of your evaluations. ✅ 𝐏𝐥𝐨𝐭-𝐁𝐚𝐬𝐞𝐝 𝐚𝐧𝐝 𝐌𝐚𝐩-𝐁𝐚𝐬𝐞𝐝 𝐍𝐚𝐯𝐢𝐠𝐚𝐭𝐢𝐨𝐧: Utilize plot-based and map-based navigation to visualize data in different formats, providing comprehensive insights. ✅ 𝐌𝐮𝐥𝐭𝐢𝐩𝐥𝐞 𝐕𝐢𝐞𝐰𝐬: Access camera views, 3D visualizations, and various signals all in one place, ensuring a complete understanding of the data from multiple perspectives. IVEX’s datalog navigation tools provide the efficiency and flexibility needed to easily navigate complex datasets, enabling thorough analysis and rapid improvements in ADAS technology. Contact us 😉 #Datalogs #ADAS #IVEX

I'm excited to be speaking at Trimble Dimensions 2024, November 11-13, in Las Vegas. I'll be the one walking around most excited about BI, so come say hi & join me! Check out the courses: -Showcasing Trimble's Latest AI Tools & Connections (esp. for Vista, Spectrum and ProjectSight Users) -Empowering Businesses with AI and Power BI: A Customer Perspective -From Data to Insights: A Power BI Workshop for Beginners -Trimble Construction One Analytics: What's New -Getting the Most from Trimble Construction One Analytics https://lnkd.in/gsmrdCKy Hope to share some fun knowledge & learn from my peers! #TrimbleDimensions #MeetMeAtTrimbleDimensions #technology #construction #surveyandmapping #TrimbleDimensions #MeetMeAtTrimbleDimensions #technology #construction #surveyandmapping

📈 Introducing the Visualization view - We are excited to launch a new RemotiveCloud feature that lets you visualize and share comprehensive signal data through interactive graphs and maps. The feature is perfect for co-debugging scenarios and identifying specific signals or anomalities. 🌟 Join the Beta by requesting access when logged in to RemotiveCloud - and be among our first users to experience vehicle data in a new way! Delve into more information and use cases in the blog post https://lnkd.in/gvcufepu #getstuffdone #automotivesoftware #visualizevehicledata

🚀 Pioneering Industries with AI-Powered Geospatial Solutions! With FusionMap, scalability knows no bounds. Whether you're managing a single asset or billions of data points, we've got you covered. Our cutting-edge technology is tailored to meet the demands of asset management, building, geohazard, and transportation sectors, unlocking endless possibilities with the power of AI. 🛠️ Imagine effortlessly navigating through vast datasets, pinpointing critical insights with precision, and optimizing decision-making processes like never before. FusionMap seamlessly integrates with GIS, empowering organizations to harness the full potential of their geospatial data. 📈 Join us on the forefront of innovation as we redefine the landscape of industries worldwide. Explore the future of geospatial intelligence with FusionMap – where AI meets limitless potential. 🌟 #FusionMap #GeospatialRevolution #AIInnovation

Why we built Space Graph Buildings are the world’s largest asset class. At Archilogic our mission is to empower users with the spatial information they need in order to optimize these buildings - at scale. We view buildings as data - in fact, we believe that buildings are the largest data class on earth that today isn’t available to work with. We’re used to sophisticated systems to manage financial data, people data, supply chain data, user data, HR data - you get the picture. But not building spatial data. And building spatial data is a necessity if we really want to make the best out of that gigantic infrastructure base. Space Graph lies at the foundation of Archilogic. It takes the pain out of managing building spatial data by offering a lightweight, web-first representation that is easy to integrate and extend. The key components are: - A spatial graph as the basis for robust editing and advanced, AI-ready querying - Flexible and extendable elements - A powerful geometry pipeline that simplifies visualization and exports Our entire platform is built around Space Graph - that means data onboarding, maintenance, dev tools, and optimization. It’s infrastructure for building spatial data. Read more more below (link in the comments) and let us know what you’d like to build! #spatialdata #floorplans #ai #buildings

Why we built Space Graph Buildings are the world’s largest asset class. At Archilogic our mission is to empower users with the spatial information they need in order to optimize these buildings - at scale. We view buildings as data - in fact, we believe that buildings are the largest data class on earth that today isn’t available to work with. We’re used to sophisticated systems to manage financial data, people data, supply chain data, user data, HR data - you get the picture. But not building spatial data. And building spatial data is a necessity if we really want to make the best out of that gigantic infrastructure base. Space Graph lies at the foundation of Archilogic. It takes the pain out of managing building spatial data by offering a lightweight, web-first representation that is easy to integrate and extend. The key components are: - A spatial graph as the basis for robust editing and advanced, AI-ready querying - Flexible and extendable elements - A powerful geometry pipeline that simplifies visualization and exports Our entire platform is built around Space Graph - that means data onboarding, maintenance, dev tools, and optimization. It’s infrastructure for building spatial data. Read more more below (link in the comments) and let us know what you’d like to build! #spatialdata #floorplans #ai #buildings