Uncertainty based selection of compatible inputs

Geoff (GEOspatial Fact Finder) is a geospatial AI that turns natural language into spatial queries and displays results on a web map

Official implementation of "Risk-Controlled Urban Change Detection: Conformal Prediction Wrappers for Provable Reliability in High-Resolution Satellite Imagery" using PyTorch.

Remote sensing nature skills for academic search, figures, paper reading, polishing, PPT and reviewer assessment

Winner of FIAP'S Global Solution 2025.1 Challenge. This repository contains the architecture for a multi-agent system where five autonomous "Guardians" work in synergy to predict, manage, and respond to complex events like wildfires, epidemics, and infrastructure failures.

Ready-to-use MCP extensions for Gemini CLI and Claude Desktop - neighborhood intelligence, school ratings, flood risk, air quality, and more.

FRA Atlas AI is an intelligent forest rights digitization and monitoring system that automates document verification via OCR, classifies land using CNN & ISRO Bhuvan data, and powers a LangChain-based Decision Support System for transparent, data-driven governance.

LUNAR OS: Multi-Model AI Platform for Lunar Exploration, Ice Detection, Navigation and Autonomous Mission Planning.

Faultline — agentic flood-resilience planning with live reports, a 3D city simulation, mitigation agents, and response briefs.

Sentinel-2 land-cover segmentation with Residual U-Net, pretrained models, weighted ensemble prediction, uncertainty analysis, and Vilnius urban land-cover change mapping.

AI-powered wildfire damage detection using IBM/NASA Prithivi-EO-2.0 foundation models and hybrid spectral analysis for high-precision burn mapping.

साहित्याच्या पुणेरी पाट्या - Where Marathi literature meets AI. Explore 47+ locations and 60+ quotes across Pune through an interactive 3D map powered by vector search and iconic 'Puneri Patya' design.

An explainable unsupervised labeling pipeline for Sentinel-2 imagery using Google Earth Engine, spectral indices, clustering, and ensemble learning.

Self-supervised maritime anomaly detection using Transformer representation learning, HNSW behavioral retrieval, and multimodal AIS trajectory intelligence.

Geospatial intelligence framework for temporal land-use analysis using Sentinel-2 imagery, Siamese networks and probabilistic region classification.

Binary classification experiments to interpret Google AlphaEarth Foundation embeddings across ESA WorldCover land cover classes. Part of the study "What on Earth is AlphaEarth?" — 130,000+ experiments using Random Forest, XGBoost, LightGBM and progressive ablation across 64 embedding dimensions.

Geospatial deep learning pipeline for detecting illegal mining structures and machinery in satellite imagery using YOLO and spatial post-processing.

Reproducibility-first remote-sensing/GIS AI-scientist scaffold with offline synthetic UHI demos.

Citation-grounded NYC flood-exposure briefings: multi-agent civic AI on Granite 4.1 + Prithvi-EO + TerraMind, every claim cited to a public-record source.

Multi-agent geospatial AI for environmental suitability, zoning evidence, and spatial land-use optimization.