dynamic-world

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.

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

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

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.

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

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