Striveworks’ Post

Some good discussion of Fulcrum's place in the GIS ecosystem, including (1) field data collection and process management with (2) advanced integration and (3) embedded AI.

In the future, with the significant role played by AI-driven prompts in geospatial data analysis and visualization, I wonder if our demand for colleagues such as GIS Analysts, technicians, and junior developers will decrease. Also, you can reach out #GeoGPT 's showcase demo video on this link below: https://lnkd.in/d7-GTxKE #CustomGPT #GeoGPT #ArtificialIntelligence #GeospatialData

✅𝗦𝗼𝗰𝗶𝗮𝗹 𝗠𝗲𝗱𝗶𝗮 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀 𝗳𝗼𝗿 𝗚𝗜𝗦 Today we discuss the integration of social media data analysis with GIS using AI techniques, including sentiment analysis, geospatial trends mapping, disaster response coordination, and leveraging user-generated content for spatial analysis and decision-making 📗Read full post here on my GIS blog 🔗https://lnkd.in/g6FQ3vmP ❤️Subscribe for regular GIS Tips and Articles 🔗https://lnkd.in/gbdfiEkz

✅𝗦𝗼𝗰𝗶𝗮𝗹 𝗠𝗲𝗱𝗶𝗮 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀 𝗳𝗼𝗿 𝗚𝗜𝗦 Today we discuss the integration of social media data analysis with GIS using AI techniques, including sentiment analysis, geospatial trends mapping, disaster response coordination, and leveraging user-generated content for spatial analysis and decision-making 📗Read full post here on my GIS blog 🔗https://lnkd.in/g6FQ3vmP ❤️Subscribe for regular GIS Tips and Articles 🔗https://lnkd.in/gbdfiEkz

✅𝗦𝗼𝗰𝗶𝗮𝗹 𝗠𝗲𝗱𝗶𝗮 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀 𝗳𝗼𝗿 𝗚𝗜𝗦 Today we discuss the integration of social media data analysis with GIS using AI techniques, including sentiment analysis, geospatial trends mapping, disaster response coordination, and leveraging user-generated content for spatial analysis and decision-making 📗Read full post here on my GIS blog 🔗https://lnkd.in/g--5rQCG ❤️Subscribe for regular GIS Tips and Articles 🔗https://lnkd.in/gzzHS_Rt

✅𝗦𝗼𝗰𝗶𝗮𝗹 𝗠𝗲𝗱𝗶𝗮 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀 𝗳𝗼𝗿 𝗚𝗜𝗦 Today we discuss the integration of social media data analysis with GIS using AI techniques, including sentiment analysis, geospatial trends mapping, disaster response coordination, and leveraging user-generated content for spatial analysis and decision-making 📗Read full post here on my GIS blog 🔗https://lnkd.in/g--5rQCG ❤️Subscribe for regular GIS Tips and Articles 🔗https://lnkd.in/gzzHS_Rt

✅𝗦𝗼𝗰𝗶𝗮𝗹 𝗠𝗲𝗱𝗶𝗮 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀 𝗳𝗼𝗿 𝗚𝗜𝗦 Today we discuss the integration of social media data analysis with GIS using AI techniques, including sentiment analysis, geospatial trends mapping, disaster response coordination, and leveraging user-generated content for spatial analysis and decision-making 📗Read full post here on my GIS blog 🔗https://lnkd.in/g--5rQCG ❤️Subscribe for regular GIS Tips and Articles 🔗https://lnkd.in/gzzHS_Rt

✅𝗦𝗼𝗰𝗶𝗮𝗹 𝗠𝗲𝗱𝗶𝗮 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀 𝗳𝗼𝗿 𝗚𝗜𝗦 Today we discuss the integration of social media data analysis with GIS using AI techniques, including sentiment analysis, geospatial trends mapping, disaster response coordination, and leveraging user-generated content for spatial analysis and decision-making 📗Read full post here on my GIS blog 🔗https://lnkd.in/g6FQ3vmP ❤️Subscribe for regular GIS Tips and Articles 🔗https://lnkd.in/gbdfiEkz

🛰️🌍Reality Analytics – How to extract information from Imagery using GeoAI🤖🔍 What to do if you have nice imagery datasets? Just looking at them? I actually could spend days exploring imagery data 😉, but it should not end there! After creating amazing Reality Mapping products such as True-Orthos, DSM (Digital Surface Model), Point Cloud and a Mesh the next step should be to extract valuable information from these datasets. And there is lots of information, which can be extracted using GeoAI, always depending on your specific use cases! 🔎🌍 For the InterGeo last week I put together a storymap showcasing what information you can extract using the aforementioned Reality products (just showing a fraction of what you could do). I mainly used some pre-trained Deep Learning models which Esri provides for free --> https://lnkd.in/d6f7H-Vv. Additionally, the elevation information using the DSM and the Point Cloud is highly valuable for more precise feature extraction and attribution such as heigh of the extracted features (buildings, trees, etc.), solar potential estimation or using the Elevation data for flood simulation modeling within ArcGIS Pro! 📈🤖 This Storymap --> https://lnkd.in/d_ehZBfQ will give you an overview of what can be done if you have highly precise Imagery products at your fingertips. If the pre-trained deep learning models are not enough, you can also set up a new one on your own or try to re-train existing models with local data! For Flood simulation you also can simply use the global elevation model already available and a 3D Basemap to include buildings in the flood simulation! 🌊 🚀 🤝 Let's spark a conversation! How are you leveraging GeoAI in ArcGIS Esri? Share your insights, challenges, and success stories below. Let's amplify our collective GIS capabilities! 💬💡 🏘️ 💡#DeepLearning #GeoAI #Esri #Sustainability #AI #GIS #GeoAI #ArcGIS #remotesensing #imagery #TechInnovation #SpatialAnalysis #featureextraction #EsriDeutschland #mapping #ArcGISPro #ImageAnalysis #objectdetection #NoCode #DataScience #DeepLearning #CNN #esrivoices🔍 🚀

Don't miss part two of Striveworks's interview with Capella Space Senior Product Manager Brett Foreman about solving some of the greatest challenges with #geospatial analysis. At Capella, we understand the large volume and diversity of datasets available today can be overwhelming. But new tools are emerging to simplify geospatial data processing, making novel datasets like #SAR more accessible than ever. That's why we partner with companies like Striveworks, "because end users want to be empowered to make their own models, so they can run custom analyses to achieve their objectives." https://lnkd.in/gkz5PFx6