rishaankgupta/NSGIS

First working prototype of a Neuro-Symbolic Geospatial Inference System (NSGIS) for TNFD-aligned nature risk assessment over informal industrial clusters. Real Sentinel-2 L2A data over Agbogbloshie, Greater Accra, Ghana. Companion to preprint: Gupta, R. (2025/2026). # NSGIS — Neuro-Symbolic Geospatial Inference System **First TNFD-aligned nature risk prototype over Agbogbloshie, Greater Accra, Ghana** Real Sentinel-2 L2A satellite data · 10m resolution · 90,000 cells · February 2026 --- ## What This Is NSGIS is a working prototype that combines neural satellite image analysis with symbolic industrial ecology rules to identify informal industrial activity and generate TNFD LEAP-aligned nature risk disclosures — without requiring any pre-labeled ground truth data. This is the first system to produce a 10-meter resolution nature risk heatmap over an informal industrial cluster (Agbogbloshie e-waste site, Greater Accra) from real satellite data. ## What It Produces - Activity classification map (7 informal industrial classes: Tannery, Textile Dyeing, E-Waste, Metal/Battery Recycling, Chemical Storage, Food Processing, Non-Industrial) - TNFD Confidence Tier Map (Tier 1–4, aligned with TNFD LEAP framework) - Nature Risk Heatmap at 10m resolution - JSON TNFD disclosure report with impact driver profiles ## Phase 1 Results (Real Sentinel-2 Data) - Scene: 300×300 cells = 3km × 3km over Agbogbloshie, Accra - Clear cells analyzed: 89,996 of 90,000 (100% after SCL cloud masking) - Neuro-Symbolic F1 Macro: 0.485 vs Baseline Neural: 0.395 (+23%) - Expected Calibration Error: 0.022 (target: 0.75) ## Quick Start ### 1. Install dependencies ``` pip install rasterio scipy scikit-learn matplotlib numpy ``` ### 2. Download real Sentinel-2 data Go to: browser.dataspace.copernicu… Search for tile: **T30NZM** Product: **S2MSI2A** (Level-2A atmospherically corrected) Date: Any cloud-free scene over Accra Download the ~1GB .SAFE file ### 3. Update the data path Open `data/real_data_loader.py` Change line 14 to your downloaded .SAFE folder path: ```python SAFE_PATH = r"C:\your\path\to\file.SAFE\file.SAFE" ``` ### 4. Run the pipeline ``` cd nsgis python pipeline/run_pipeline_real.py python viz/visualize.py ``` All outputs saved …