Joel Getz’s Post

Digital mapping techniques are revolutionizing the way we navigate and understand our world. By leveraging advanced technologies such as GIS, satellite imagery, and AI, we can create precise, interactive maps that provide invaluable insights for various industries. These innovations not only enhance spatial analysis but also drive smarter decision-making and efficiency. #DigitalMapping #Innovation #TechAdvancements

🌍Harnessing the Power of GeoAI: Advancements and Capabilities in Remote Sensing🌍 💡Geospatial Artificial Intelligence (GeoAI) is not just a technological buzzword—it's a game-changing innovation that's redefining how we process and analyze geospatial data. One of the most significant advancements GeoAI brings to the field of remote sensing and GIS is its ability to streamline complex data classification and regression tasks. 🚀The true power of GeoAI lies in its capability to handle vast datasets with ease. Leveraging machine learning models, GeoAI can automate processes that previously took significant time and human intervention. For example, in land cover classification, instead of manually analyzing thousands of satellite images, GeoAI can swiftly identify patterns, predict outcomes, and detect changes in real time. This is invaluable for urban planners, environmental scientists, and disaster response teams who rely on accurate geospatial information to make critical decisions. 📊In addition, the GeoAI toolbox integrates automated machine learning (AutoML), allowing geospatial professionals to train optimal models for data processing without needing to be experts in AI. This democratization of AI makes advanced geospatial analysis more accessible and scalable, enabling higher efficiency in topography mapping, resource management, and environmental impact studies. Stay tuned for the final part of this GeoAI series, where we'll dive into the groundbreaking applications and future potential of this technology. #GeoAI #GeospatialInnovation #RemoteSensing #MachineLearning #GIS #TechTransformation

#MemberSpotlight | 💬 “Driving at speeds between 80 to 120 kilometers per hour, we collect over 2 million data points per second, along with high-fidelity imagery. This massive amount of information undergoes extensive processing and analysis, where AI plays a crucial role. What’s exciting is that we’re not just applying AI to point clouds, but also using imagery, which is critical for understanding the context of what we’re observing,” said Boris Skopljak, Vice President, Trimble Geospatial. 👉 Watch the full interview for more insight: https://lnkd.in/dzHzjnti    Trimble Inc. #WGIC #GeospatialTechnology #GeoAI #MobileMapping #HighFidelityData #DataAnalytics #SmartMapping #PointClouds #ImageryAnalysis #GeospatialInnovation #TrimbleGeospatial #AIApplications #SensorFusion 

Ecopia is on a mission to digitize the world using AI, providing foundational information for critical decision-making while improving the welfare of societies, efficiency of economies, and health of environments. Our AI-based mapping systems ingest the latest high-resolution imagery and efficiently extract high-precision geospatial data at scale, providing insights for analytics related to climate resilience, transportation planning, property intelligence, and more. 🌍 Learn more about our mission to create a digital twin of the world in our latest video. #Mapping #Geospatial #DigitalTwin #GIS #AI

⏩ "Ecopia’s data allows us to overcome the limitations of manual data collection by providing a more comprehensive and accurate picture of our pedestrian network, ensuring that we capture a fuller representation of the region's infrastructure,” - Joshua Manning ⏪ Previously, South Central Planning and Development Commission undertook a manual sidewalk inventory, where planning staff drove along major roadways to identify sidewalks and evaluate their quality and compliance with the Americans with Disabilities Act (ADA). While this method provided valuable insights, it was time-consuming and ultimately led to incomplete data, as many sidewalks—particularly those off arterial or collector roads—were overlooked. Recognizing the challenges associated with manual digitization, SCPDC partnered with Ecopia. Ecopia leveraged AI-powered technology to quickly deliver comprehensive, accurate, and up-to-date transportation data, including sidewalk inventory data across the region.

🚀 AI & Satellite Tech For Automated Land Use Identification 🌍 Is your team spending days and months finding and confirming data about the use of land (built-up, arable land, forest etc.) and about counts of objects on the earth’s surface (trees, cars, pools, water tanks, greenhouses etc)? With an AI-powered solution, you can transform months of work into a seamless, reliable automated process. Our AI models leverage groundbreaking advancements in machine learning, geospatial mapping and remote sensing to understand the content of high-resolution, multi-spectral satellite images and convert them into meaningful geospatial data. ✅ Automated Object Detection: Leverage satellite imagery and advanced AI to automatically detect land use and objects on the ground. ✅ Custom-Built For Your Local Landscape: The AI models are designed to recognize local nuances, offering greater accuracy than generic models. ✅ Seamless Integration: Easily incorporate geospatial data into your existing systems, ensuring smooth and efficient workflows. ✅ Enhance Data Reliability: Strengthen your compliance and grant management processes with AI-driven insights. If you have a project that requires in-depth analytics of satellite data do get in touch. Our AI engineering team will be happy to share with you the experience we gathered from delivering similar projects. #ai #computervision #geospatial #remotesensing #analytics #satellite

𝐈𝐬 𝐓𝐡𝐢𝐬 𝐭𝐡𝐞 𝐅𝐮𝐭𝐮𝐫𝐞 𝐨𝐟 𝐆𝐞𝐨𝐬𝐩𝐚𝐭𝐢𝐚𝐥? 𝐀𝐈-𝐏𝐨𝐰𝐞𝐫𝐞𝐝 𝐀𝐜𝐭𝐢𝐨𝐧 𝐢𝐧 𝐑𝐞𝐚𝐥-𝐓𝐢𝐦𝐞 🌍 Imagine this: A room filled with geospatial experts at their computers. A Geospatial AI-powered system is analyzing weather patterns, vegetation density, and real-time drone footage over large areas. Suddenly on the big screen, a satellite view flashes up and zooms into a forest near a city. An alert flashes: "Fire risk detected: 90%.!" The analysts jump into action. At the moment this might seem like science fiction. But this is the emerging reality of Geospatial AI. The role of humans is evolving: instead of manually crunching data, they’ll focus on taking action based on AI-generated insights. AI will analyze the data, identify risks, and suggest solutions, while experts step in to implement these actions with precision and speed. This is Geospatial 2.0 in action: a fusion of human expertise and AI intelligence, working together to protect communities, enhance sustainability, and drive smarter decisions. Are we ready for a world where AI doesn’t just assist us but becomes the backbone of geospatial decision-making? 💡 Stay ahead of the rapidly changing geospatial world - join the Geospatial 2.0 Community: https://lnkd.in/gvfayQs3 #gis #geospatail #geoai #geospatialai #artificialintelligence

🚀 Unlock the Power of #GeoAI for Automatic Building Footprint Extraction! 🌍🤖 GeoAI (Geospatial Artificial Intelligence) is trasformed the traditional methods of building footprint extraction! By combining #GeoAI with #GIS in Esri #ArcGISPro #DeepLearningModule, we can automate object detection, image segmentation, and predictive modeling 🏗️✨ Here’s a quick look at the process of Automatic Building Footprint Extraction through GeoAI: 1. Manual Building Footprint Extraction (starting point) 2. Export Building Footprint Tiles for Training 3. Train and Build the AI Model 4. Model Validation 5. Run the Model on New Imagery 6. Refine Building Footprint Edges 🔍 Just check out this Wingtra Drone Ortho Mosaic example! The extracted GeoAI driven building footprint achieved an accuracy of 95%—and I’m realizing no more manual digitization in future. 😲 🔮 The future of building footprint extraction is intelligent, spatial, and automated. 🌍🤖 Want to #learn more about GeoAI and how it's transforming the industry? Feel free to #connect and #follow my profile for updates: https://lnkd.in/g2rMzfjh 💥 The Future is Spatial + Intelligent! 🌍🤖 #GeoAI #ArcGISPro #ArtificialIntelligence #MachineLearning #GIS #AI #Geospatial #DeepLearning #SpatialData #DataScience #DroneAI #TechnologyInnovation #FutureOfAI #BuildingFootprint #SmartCities

Some of my 2025 predictions recently published on GISCafe. A key theme is geospatial tech and data becoming more commonplace across data science workflows and data from multiple sources (satellite, UAS, aerial, 3D) is used interchangeably. Gone are the days where you need to have expertise in (1) data formats and nuances of each particular data set (2) geospatial data processing (3) computer vision/AI AND (4) the particular problem space you are operating in. At Edgybees we are working to make data interoperability a reality by making the data line up and consistent and we look forward to what the industry brings this year. TL;DR my predictions 1) AI is nice 2) Multisource imagery is the norm but shouldn't be used naively 3) Geospatial data in 'standard non-geonerd' workflows 4) Rise of geo data marketplaces 5) 3D data to become more commonplace 6) Generative AI will need to wait a couple of more years.

🌍 Are you looking to streamline geospatial data annotation workflows? From handling satellite imagery to scaling your projects efficiently, this guide has everything ML teams and GIS experts need 📊🚀 💡 What’s inside: ✅ Best practices for managing annotation workflows ✅ Proven techniques for working with complex geospatial data ✅ Insights into balancing automation and human expertise 📩 Comment "Guide" below, and I will send it to you directly! #LabelYourData #GeospatialAnnotation #AI #DataAnnotation #GIS #MachineLearning