Comprehensive guide to AI applications in OSINT workflows and intelligence analysis
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Updated
Jul 14, 2025
Comprehensive guide to AI applications in OSINT workflows and intelligence analysis
co-create and grow GEOINT standards transparenlty
DeepGeo: Deep Learning for Earth Observation data ToolBox
Monitor areas on static map services & log new images
Picterra Python API Client
RADAR is a real time geospatial intelligence platform that aggregates aircraft, maritime, cyber, OSINT, GPS interference, and threat alert data to provide global situational awareness through an interactive intelligence dashboard
A walkthrough of tutorials I made for working with geospatial data in Python. Includes my evaluations of Python geospatial libraries, tools and packages.
2017 Seattle Geospatial Intelligence Hackathon: team project
Autonomous ITS engine for real-time mobility routing, prediction, and geospatial intelligence. Built on MQTT, GTFS/GTFS-RT, and a self-healing microservice architecture.
A curated list of resources on autonomous GeoAI and AI4Science.
Envitia MapLink Pro sample code
Solved OSINT Exercise #005 — geolocated polar bears from a zoo live cam to exact GPS coordinates using reverse image search and satellite imagery analysis.
Policy-gated federated learning for global climate intelligence. Enables nation-sovereign AI for carbon tracking and risk analytics without sharing raw environmental data.
The website Tasking by Banglow map offers advanced geospatial monitoring and satellite imaging services. It provides users with the ability to request on-demand high-resolution satellite imagery and real-time analytics for various industries such as defense, energy, agriculture.
Open flood-risk data analysis project using Google Earth Engine and open geospatial datasets.
Privacy-preserving AI for global agriculture. Enables policy-gated federated learning for sustainable yields and climate resilience while maintaining full farmer data sovereignty.
Repo for geospatial data analytics projects, blog posts and podcast
Policy-gated federated learning for global supply-chain intelligence. Enables enterprise-sovereign AI for disruption prediction and carbon-compliant routing without sharing raw logistics data.
Geospatial analysis of remote observation data.
Mappls advanced analytics engine: Insight transforms raw data into impactful visualizations and interactive dashboards, easily shared and embedded.
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