ECS World Model Architecture: Real-Time Data AI Framework 2026

The WYRD Protocol Architecture. The goal is to move the "World Model" out of the LLM's fleeting memory and into a structured Entity-Component-System (ECS). World-class foundation for deterministic AI world-modeling. Light-weight agnostic world-modeling system designed for the next generation of AGI, AI gaming, AI RPGs, and AI charactor systems.

Data-driven deep learning framework designed to predict future Land Surface Temperature (LST) and Normalized Difference Vegetation Index (NDVI) maps conditioned on proposed changes in land cover, using a Metadata-Augmented U-Net

Google Earth Engine workflow to extract monthly and annual water occurrence frequency (WOF) maps

GeoVision is a web application that analyzes satellite imagery to detect land cover changes over time.

Track land use land cover changes in specific region geometries using DynamicWorld data

GEE scripts for land use/land cover change detection at Volcán San Miguel, El Salvador (2015–2025) using Google Dynamic World

Hybrid ML + GIS pipeline for wildfire vegetation risk: U-Net segmentation on Sentinel-2 with Dynamic World labels, fused with line-distance and slope to produce a tunable risk raster. Validated across three external California AOIs.

See how any place on Earth has changed — pick a region, pick two dates, get a change map.

Reproducible benchmark of urban settlement indices across Sentinel-2, Landsat-8, and VIIRS using SeasoNet and ROI experiments.