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Meno — Infrastructure Intelligence Report

East Anglia Grid

Vegetation Resilience · 52.25°N, 1.6°E · Analysis date: 2026-04-13
Comparison: July 2024 (Summer) vs June 2025 (Summer) · Sentinel-2 L2A · 10m resolution

Executive Summary

22.9% of the East Anglia corridor shows anomalous vegetation change between summers

22.9% of corridor pixels (297,524 out of 1,299,600) show anomalous change. The mean raw change of +0.033 indicates a net vegetation increase across the corridor year-on-year. This is significant for encroachment monitoring: sections where vegetation grew into clearance zones are directly identifiable. The Leiston section shows concentrated growth, while Saxmundham shows active agricultural change.

Key Metrics

22.9%
Anomalous Change
91%
Confidence
94%
Cloud-Free Coverage
12 days
Revisit Cycle

Risk Assessment

RED
Zone 1Leiston Corridor
34.7% anomalous · Magnitude: 0.3
Action: Priority ground inspection within 7 days. Highest vegetation growth rate in the network — 35% anomalous pixels with strong magnitude.
RED
Zone 3Saxmundham Corridor
30.5% anomalous · Magnitude: 0.22
Action: Priority ground inspection within 7 days. Significant year-on-year vegetation change — potential corridor encroachment.
RED
Zone 2Aldeburgh Sector
23.8% anomalous · Magnitude: 0.19
Action: Priority ground inspection within 7 days. Mixed agricultural and vegetation change — encroachment risk in buffer zones.
GREEN
Zone 4Coastal Margin
1.9% anomalous · Magnitude: 0.11
Action: Continue routine 12-day monitoring. Coastal margin within normal parameters.

Satellite Imagery

East Anglia — NIR False Colour (June 2025)
East Anglia — NIR False Colour (June 2025)
Bright red = healthy vegetation. Grey/tan = bare soil, urban areas. Dark = water. Overhead line corridors should appear as gaps in vegetation cover.
Vegetation Density Classification (Summer 2025)
Vegetation Density Classification (Summer 2025)
Classified from peak summer NDVI. Dark green = dense canopy. Green = moderate. Yellow = sparse/crops. Brown = bare/built. Corridor compliance assessed against this baseline.
Anomalous Change — Annotated Zones
Anomalous Change — Annotated Zones
Year-on-year change filtered for anomalies (±0.08 threshold). Green = vegetation increase (encroachment risk). Red = vegetation decrease (clearing/construction). Zone labels show monitoring sectors.

Methodology

We compared the same corridor in July 2024 and June 2025 (both peak summer) to isolate genuine year-on-year vegetation change. Vegetation density was classified from the summer 2025 capture using four NDVI-based classes. Changes exceeding ±0.08 NDVI are flagged as anomalous — meaning crop rotation, new growth, or deliberate clearance rather than normal seasonal variation.

Confidence note: High confidence: same-season comparison eliminates seasonal noise. 94% cloud-free coverage. Anomaly threshold (+/-0.08 NDVI) filters sub-threshold variation.

Commercial Value

Satellite-based corridor screening could reduce vegetation management costs by 40–55% while detecting encroachment 10x faster than current helicopter survey cycles.

Survey Frequency
Annual helicopter (1/yr)
Every 12 days (30/yr)
30x more frequent
Cost per km Monitored
£120–£180/km (helicopter)
£15–£25/km (satellite)
~85% reduction
Network Coverage
Sample-based (15–20%)
100% of corridor
Full coverage
Detection to Action
6–12 months
12 days + 30 day response
85% faster
Weather Dependency
High — grounded in poor weather
None — SAR penetrates cloud
All-weather capable

Strategic Implications

Satellite screening every 12 days can identify which corridor sections need priority ground inspection, replacing blanket helicopter surveys. For National Grid, this converts reactive patrol-based clearance into predictive, risk-prioritised management — directly supporting Ofgem’s Net Zero efficiency targets and reducing operational cost per km of monitored line.

Procurement target: Ofgem/National Grid Net Zero mandates
Meno — AI-Powered Infrastructure Intelligence
AS9100 Quality Framework · CAA Orbital Compliance
Discovery Phase v0.1.0
Generated: 2026-04-17