Transmission & Distribution ROW Monitoring
Monitor right-of-way conditions at scale to support reliability and compliance.
CADOX • TEAR PROJECT
Satellite Super-Resolution for Critical Infrastructure
ESRGAN-based 1:4 super-resolution using AI in Python, leveraging Copernicus Sentinel-2, Amazônia-1 and CBERS-4A imagery to support energy transmission & distribution, agribusiness and industrial monitoring.
Output
1:4
super-resolution
Core
ESRGAN
AI pipeline
Focus
T&D
energy networks
Why resolution matters
Many risks evolve quietly across vast territories. With limited spatial detail, early signals can be missed— and operational decisions become slower and more expensive.
- Vegetation encroachment near right-of-way corridors
- Flooding, erosion and landslide exposure around assets
- Land occupation and compliance issues
- Wildfire risk indicators and environmental stress patterns
What TEAR delivers
TEAR enhances satellite imagery using an ESRGAN-based 1:4 super-resolution approach, designed for visual interpretability and downstream analytics.
Copernicus Sentinel-2
Multispectral imagery for wide-area monitoring
Amazônia-1
Brazilian Earth observation for regional insights
CBERS-4A
China–Brazil satellite data for operational coverage
Use cases across energy, industry and agribusiness
Built for high-scale monitoring—especially for transmission & distribution operations—TEAR supports multiple sectors that depend on timely, interpretable geospatial signals.
Vegetation Encroachment Prioritization
Identify growth patterns and prioritize field inspections with better visual cues.
Flood & Landslide Exposure Near Assets
Assess environmental hazards around critical infrastructure corridors.
Industrial Site Change Detection
Track site-level evolution, expansions and anomalies over time.
Agribusiness Monitoring & Planning
Support crop planning and land-use understanding across large territories.
Environmental & Compliance Evidence
Improve interpretability for audits, reporting and incident investigations.
Energy T&D Focus
TEAR enhances satellite imagery to help utilities and operators monitor right-of-way conditions, vegetation encroachment, flood exposure, erosion patterns and land occupation near critical assets. By increasing effective spatial detail through ESRGAN-based 1:4 super-resolution, teams can prioritize inspections, reduce unnecessary field dispatch and improve situational awareness across large, hard-to-access territories.
Global cooperation mindset
TEAR is designed to align with international space ecosystems and data programs. We explore collaboration pathways and knowledge exchange with agencies and institutions worldwide.
NASA, ESA, CNSA, IAF, JAXA, ISRO, CSA and AEB.
NASA
United States
ESA
Europe
CNSA
China
IAF
International
JAXA
Japan
ISRO
India
CSA
Canada
AEB
Brazil
NASA
United States
ESA
Europe
CNSA
China
IAF
International
JAXA
Japan
ISRO
India
CSA
Canada
AEB
Brazil
How TEAR works (ESRGAN 1:4 super-resolution)
A pragmatic pipeline built in Python, structured for repeatability, exportability and operational integration.
Input
Multispectral satellite imagery
Standardized ingestion and preprocessing
SR
ESRGAN-based super-resolution
1:4 enhancement with domain constraints
QA
Quality & artifact checks
Consistency checks and anomaly flags
Export
GIS-ready outputs
Batch processing and integration options
Designed for industry workflows
TEAR aims to reduce friction between research outputs and operational adoption: structured exports, reproducible runs, and predictable quality controls.
Downstream analytics friendly
Enhanced imagery can improve interpretability for inspection planning and support future integration with detection models (e.g., vegetation, encroachment, hazard exposure).
Security and governance ready
Built to support controlled environments, audit trails and data governance requirements common in critical infrastructure contexts.
About CADOX
CADOX develops applied intelligence solutions for industrial environments, connecting software engineering, data and operational reality. TEAR is part of our commitment to elevate geospatial decision-making with reliable, scalable AI pipelines.
Applied AI • Python pipeline engineering
Geospatial readiness • GIS integration mindset
Critical infrastructure focus • Energy T&D
Talk to our team
Tell us your sector and monitoring goals. We can share a technical brief and discuss integration paths.