Alternatives
Products that do what TerraAI does
AI powered GIS and satellite analysis platform
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2020 · github.com
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2023 · github.com
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I built a browser-based tool for detecting objects in satellite imagery using vision-language models (VLMs). You draw a polygon on the map and enter a text prompt such as "swimming pools", "oil tanks", or "buses". The system scans the selected area tile-by-tile and returns detections projected back onto the map as GeoJSON. Pipeline: select area and zoom level, split the region into mercantile tiles, run each tile with the prompt through a VLM, convert predicted bounding boxes to geographic coordinates (WGS84), and render the results back on the map. It works reasonably well for distinct…
Mar 2026 · useful-ai-tools.com
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2021 · blog.spiceai.org
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Hi HN, I made SmartMap — a tool where you ask an open-ended question on maps, like: - "Where can I find coworking cafes with power sockets and Wi-Fi in Shibuya, Tokyo?" - "Places that inspired Studio Ghibli movies in Japan" You can also ask it to plot interactive journeys, like: - "Places Alexandra David-Néel visited on her way to Lhasa" - "Train stops along the original Orient Express route" It returns a live, interactive map with the results plotted as pins. Originally built this to scratch my own itch while traveling and researching or learning about new places. SmartMap makes that step…
2025 · smartmap.space
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Hey HN! We're Alex and Szymon from Bluesight (https://bluesight.ai/), where we're developing a foundation model for satellite data. We've created a demo to showcase the current capabilities of state-of-the-art models and identify areas for improvement. Our demo allows you to search for objects in San Francisco using natural language. You can look for things like Tesla cars, dry patches, boats, and more. Key features: - Search using text or by selecting an object from the image as a source ("aim" icon) - Toggle between object search (default) and tile search ("big" toggle,…
2024 · demo.bluesight.ai
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Hi, Out of desperation using slow and expensive ESRI ArcGIS, we're building a custom GIS engine to facilitate presentation layers for urban mapping that is easier to code and communicate with other smaller applications. The app we built was meant to help local people or investors perform preliminary due diligence using location-specific parameters (demographic profile, zoning regulation, business requirements, POIs, indexes, and potential calculator). With this app, we're helping people to assess which location is best to build their next business. We also managed to add machine learning…
2023 · jakarta.pintoinvest.com
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This is our Atlas of Water Science. It's a globe mapping water science that colleagues have done over the past few years. Approx 300 papers got analyzed. The pipeline sends open access papers to an LLM asks the LLM to extract areas relevant to science in a form suitable for a geocoder, then we use a geocoder to get lat lons. When things happen in the same spot we jitter the locations a bit to differentiate things. gpt4o-mini was used for most of the analysis. Some of the features on the website are directly invented by Claude. There are some errors when geocoding went wrong or locations were…
2024 · wateratlas.webapp.csiro.au
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Your AI has your code's text, never its map. Fix that.
Jun 2026 · luuuc.github.io
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