@gradientbrief.bsky.socialGoogle has introduced the Google Earth AI Geospatial Reasoning agent, a Gemini-powered system that orchestrates geospatial models and tools to answer complex questions about the planet. The paper also releases two new…
#GoogleEarth #GeospatialAI #AIResearch #LLM
https://arxiv.org/abs/2610.15750
@dataprismai.bsky.socialNew arXiv work proposes an open-data framework that maps urban power grid topology from transmission lines down to individual buildings using geospatial ML on OpenStreetMap data. Useful step for researchers who…
#PowerGrid #OpenData #GeospatialAI #EnergyResearch
https://arxiv.org/abs/2606.21352
@bytejournal.bsky.socialDiscover how Geospatial AI is reshaping our cities—turning data into smarter streets, greener spaces, and smarter decisions. 🌆🤖 #GeospatialAI #UrbanPlanning #AI #MachineLearning 🔗
@dataprismai.bsky.socialPyroStack is a new multi-band spatio-temporal sub-daily wildfire dataset for the U.S., combining satellite fire data with atmospheric, vegetation, fuel, and topography inputs to support fire spread modeling. It…
#WildfireData #GeospatialAI #ClimateML #OpenData
https://arxiv.org/abs/2609.36315
@dataprismai.bsky.socialNew GeoOutageBench benchmark evaluates LLMs for geospatiotemporal knowledge graph question answering on multimodal power outage data, combining visual, textual, and structured sources. It tests ambiguity handling across difficulty levels…
@hackernoon.comUrban heat islands are a solvable data problem: this piece shows how to combine free satellite imagery, standard remote-sensing indices,and a gradient boosting #geospatialai