ZIP-0425: Satellite Ecological Monitoring

Abstract

This proposal specifies an AI-powered satellite imagery analysis system for ecological monitoring at global scale. The system processes imagery from Sentinel-2, Landsat, and commercial satellite providers through Zen-VL models (ZIP-0416) to detect deforestation, monitor habitat fragmentation, track water body changes, assess vegetation health, and estimate carbon stock. Results are integrated into the content-addressable knowledge base (ZIP-0404) and used by conservation agents (ZIP-0400) for real-time habitat status reports.

Motivation

Satellite imagery provides the only practical way to monitor ecosystems at global scale. However, manual analysis of satellite data is impossibly slow: a single Sentinel-2 tile covers 100x100 km at 10m resolution, producing 290 million pixels per pass, with global coverage every 5 days. AI is required to process this volume meaningfully.

Specification

Processing Pipeline

Satellite Data Sources
├── Sentinel-2 (10m, 5-day revisit, free)
├── Landsat (30m, 16-day revisit, free)
├── Planet (3m, daily, commercial)
└── Maxar (sub-meter, on-demand, commercial)
         │
         v
┌──────────────────────┐
│ Pre-processing       │
│ - Cloud masking      │
│ - Atmospheric corr.  │
│ - Georeferencing     │
│ - Temporal alignment │
└──────────┬───────────┘
           v
┌──────────────────────┐
│ Zen-VL Analysis      │
│ (ZIP-0416)           │
│ - Land cover class.  │
│ - Change detection   │
│ - Vegetation indices │
│ - Feature extraction │
└──────────┬───────────┘
           v
┌──────────────────────┐
│ Ecological Inference │
│ - Deforestation rate │
│ - Habitat frag. idx  │
│ - Carbon stock est.  │
│ - Water body change  │
│ - Fire scar mapping  │
└──────────┬───────────┘
           v
┌──────────────────────┐
│ Knowledge Base       │
│ (ZIP-0404)           │
│ - Habitat status     │
│ - Conservation alerts│
│ - Trend analysis     │
└──────────────────────┘

Detection Capabilities

Task	Resolution	Accuracy	Update Frequency
Deforestation detection	10m	95.2%	Weekly
Habitat fragmentation	30m	91.8%	Monthly
Water body change	10m	93.5%	Weekly
Vegetation health (NDVI)	10m	N/A (continuous)	5-day
Fire scar mapping	10m	97.1%	Daily
Urban encroachment	3m	94.6%	Monthly

Alert System

Automated alerts triggered when:

• Deforestation exceeds threshold in protected area
• Habitat fragmentation index deteriorates beyond baseline
• Water bodies shrink below critical levels
• Fire detected in conservation priority zones

Alerts are routed to:

• Conservation agents (ZIP-0400) for user communication
• Anti-poaching network (ZIP-0503) for correlating with ground activity
• DAO governance (ZIP-0017) for emergency response proposals

Research Papers

• zoo-satellite-ecology -- Satellite-based ecological monitoring (2025)
• zen-vision-architecture -- Vision encoder for satellite imagery

Implementation

• hanzo/jin: Jin multimodal framework for satellite image analysis
• zoo/core: Conservation dashboard with satellite monitoring layer
• zoo/contracts: On-chain habitat status oracle

Timeline

• Originated: December 2024 (satellite ecology system design)
• Research: zoo-satellite-ecology published 2025
• Implementation: Satellite monitoring pipeline deployed 2025