Tag
AgentFAIR is a multi-agent framework that uses LLM evaluators and a critic to assess FAIR compliance of geospatial datasets, achieving sub-principle agreement of 89% and Fleiss' κ=0.71 in expert studies, at a cost of $0.054 per dataset.
StreetComplete is a mobile app that gamifies contributing to OpenStreetMap by presenting users with simple on-site quests to fill in missing map data, directly updating the map in the user's name.
This paper presents a causal machine learning approach combining double/debiased machine learning with a hierarchical Bayesian framework to estimate the incremental impact of additional supply on marketplace outcomes, using Airbnb as a case study.
TerraDiT-Ω is a unified spatial control framework for satellite image synthesis that accepts any native geospatial primitive and uses Geometry-Aware Local Attention, outperforming previous dense and sparse control methods across multiple downstream tasks.
Presents an LLM-driven framework for retrieving remote sensing data from cloud-based geospatial catalogues using natural language queries, with a focus on safety and adversarial robustness. The system integrates three agents for intent interpretation, API call generation, and risk management.
GeoLibre 1.0 is a lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data, built with modern web technologies and running across desktop and web environments.
OSMGraphCLIP is a model that learns global location embeddings from OpenStreetMap data using a graph-based encoder and contrastive alignment with a spherical-harmonics location encoder. It achieves strong performance across diverse geospatial tasks, often matching or exceeding satellite-based methods.
Someone posted an open-source project called Osiris on Reddit. It's like a public version of Palantir, integrating tens of thousands of planes, satellites, CCTV feeds, and a bunch of OSINT tools on a real-time 3D globe, all running in the browser.
This paper introduces a fleet of five sensor-specialized Mini-JEPA foundation models for hydrologic intelligence, achieving high reconstruction accuracy (R² up to 0.97) and outperforming the Google AlphaEarth generalist on physics-matched tasks when routed via an LLM agent.
This paper audits 152 papers on geospatial foundation models and finds severe lack of standardization, making it impossible to determine state-of-the-art. The authors propose six concrete expectations to improve reproducibility and comparability.
GeoJSON is an open standard format for encoding geographic data structures using JSON, supporting various geometry types and standardized as RFC 7946 by IETF in 2016.
Protovoters is an open-source tool that lets users build local voter files from public data and use them with standard geospatial software, aiming to replace expensive proprietary platforms like VAN or NationBuilder.
EyeOnBlue is a remote sensing and AI platform that leverages satellite imagery for analysis and insights from space.
Magic Lane is a sovereign navigation infrastructure platform designed for Europe, offering an alternative to non-European mapping and navigation services.
An open-source spy-satellite simulator that visualizes real-time global data such as aircraft, ships, and satellites in a photorealistic 3D browser interface, with voice control and public data sourcing.
GeoLibre is a free, open-source, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data, running in browsers, desktop, mobile, and Jupyter notebooks.
ShadowBroker is an open-source decentralized intelligence platform that aggregates 60+ live OSINT feeds into a single map interface for real-time global threat monitoring and analysis.